Машинное обучение

10,2 тыс подписчиков

Список из 1000 бесплатных курсов по программированию, актуальные в 2023 году.

22 января 202322 янв 2023

81

55 мин

Оглавление

Новчкам
Средний уровень
Сеньор

Двенадцать лет назад такие университеты, как Стэнфорд и Массачусетский технологический институт, открыли для публики бесплатные онлайн-курсы. Сегодня более 1200 школ по всему миру создали тысячи бесплатных онлайн-курсов.

Чтобы поприветствовать новый год, я составил этот список из 1000+ таких бесплатных онлайн-курсов, которые вы можете начать прямо сейчас. Для этого я использовал базу данных Class Central, содержащую более 100 000 онлайн-курсов. Если в каталог были оценки курсов, я включил их средний рейтинг. Это самый большой каталог курсов доступных в сети.

Я отсортировал эти курсы по следующим категориям в зависимости от уровня сложности:

Новичок
Средний
Сеньор
Курсы, предлагаемые впервые, отмечены как [Beginner]. Почти все эти курсы предназначены для самостоятельного изучения, то есть вы можете начать прямо сейчас.с.

Наконец, если у вас возникли проблемы с тем, чтобы понять, как бесплатно записаться на курсы Coursera, не волнуйтесь — я заканчиваю статью и скоро выложу ее на нашем сайте https://uproger.com/

@sqlhub – sql анализ данных в телеграме. Первоисточник всех материалов по работе с базами данных.

Этот список будет постоянно пополняться.

Поехали!

Новчкам

Elements of AI from University of Helsinki ★★★★★(713)
Трудоустройство для разработчиков
Unlocking Information Security I: From Cryptography to Buffer Overflows from Tel Aviv University ★★★★★(298)
Основы работы в Tableau
Уроки по Java с нулям
Alex Marshal: «Как стать Java Developer с нуля и зарабатывать деньги на IT»
CS50’s Introduction to Computer Science from Harvard University ★★★★★(140)
Computational Social Science Methods from University of California, Davis ★★★★★(107)
Introduction to HTML5 from University of Michigan ★★★★☆(50)
«Сертификация в PromoPult. Поисковое продвижение» от CyberMarketing (12 уроков, с сертификатом)
«Базовый курс по SEO» от Major Academy (14 уроков, без сертификата)
«Бесплатный курс по линкбилдингу» от Collaborator (16 уроков, без сертификата)
«Бесплатный курс по семантическому проектированию сайта» от Collaborator (46 уроков, без сертификата)
«Основы поисковой оптимизации» от ppc.world (7 уроков, без сертификата)
«Лёгкая семантика 1.0» от Кирилла Рамираса (5 уроков, без сертификата)
«SEO» от «Школы SEO» (19 уроков, без сертификата)
YouTube-плейлист «SEO Продвижение» от SEOquick (96 видео, без сертификата)
«Бесплатные Уроки SEO Продвижения» от «Академии SEO» (82 видео, без сертификата)
«Бесплатный видеокурс по SEO-продвижению» от Александра Алаева (7 видео, без сертификата)
Unlocking Information Security II: An Internet Perspective from Tel Aviv University ★★★★★(50)
Internet History, Technology, and Security from University of Michigan ★★★★★(41)
Introduction to Linux from Linux Foundation ★★★★☆(37)
Introduction to Databases from Stanford University ★★★★★(30)
Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course) from Hebrew University of Jerusalem ★★★★★(28)
Fundamentos TIC para profesionales de negocios: Desarrollo de Software from Universitat Politècnica de València ★★★★☆(26)
[New] Introduction to Quantum Computing from The University of British Columbia
[New] Coding Interview Preparation from Meta
[New] Software Development Practices from Meta
Introduction to Cyber Security from The Open University ★★★★☆(22)
Web Security Fundamentals from KU Leuven University ★★★★☆(22)
CS50’s Web Programming with Python and JavaScript from Harvard University ★★★★★(21)
HTML, CSS, and Javascript for Web Developers from Johns Hopkins University ★★★★★(20)
Computer Science 101 from Stanford University ★★★★☆(18)
Programming Basics from Indian Institute of Technology Bombay ★★★☆☆(18)
Diagramas UML estructurales para la Ingeniería del Software from Universitat Politècnica de València ★★★★★(17)
Fundamentos TIC para profesionales de negocios: Aplicaciones empresariales from Universitat Politècnica de València ★★★★★(16)
Introduction to Networking from New York University (NYU) ★★★★☆(16)
Introduction to CSS3 from University of Michigan ★★★★★(14)
CS50’s Computer Science for Business Professionals from Harvard University ★★★★★(13)
Getting Started with AWS Machine Learning from Amazon Web Services ★★★★☆(13)
Building AI from University of Helsinki ★★★★☆(13)
Introduction to the Internet of Things and Embedded Systems from University of California, Irvine ★★★★☆(12)
CS50’s Introduction to Artificial Intelligence with Python from Harvard University ★★★★★(11)
Creative Programming for Digital Media & Mobile Apps from University of London International Programmes ★★★★☆(11)
HTML5 Coding Essentials and Best Practices from World Wide Web Consortium (W3C) ★★★★☆(11)
CS50’s Understanding Technology from Harvard University ★★★★★(10)
Technical Support Fundamentals from Google ★★★★☆(10)
Learn to Program: Crafting Quality Code from University of Toronto ★★★★☆(9)
Usable Security from University of Maryland, College Park ★★★☆☆(9)
Computer Hardware and Operating Systems from New York University (NYU) ★★★★★(9)
Linux Command Line Basics
Intro to Relational Databases
How To Create a Website in a Weekend! (Project-Centered Course) from State University of New York ★★★★☆(7)
Introducción a la programación en C: Instrucciones de control y ficheros de texto from Universidad Autónoma de Madrid ★★★★★(7)
AI For Everyone from DeepLearning.AI ★★★★★(6)
CS50’s Computer Science for Lawyers from Harvard University ★★★★★(5)
Introduction to Computing using Python from Georgia Institute of Technology ★★★★★(5)
Introduction to the Internet of Things from Universitat Politècnica de València ★★★★☆(5)
Paradigms of Computer Programming – Fundamentals from Université catholique de Louvain ★★★★★(5)
Paradigms of Computer Programming – Abstraction and Concurrency from Université catholique de Louvain ★★★★☆(5)
Web Coding Fundamentals: HTML, CSS and Javascript from National University of Singapore ★★★★★(5)
The Computing Technology Inside Your Smartphone from Cornell University ★★★★★(5)
Basics of Computing and Programming from New York University (NYU) ★★★★☆(5)
C for Everyone: Programming Fundamentals from University of California, Santa Cruz ★★★★☆(5)
Programming in Scratch from Harvey Mudd College ★★★★★(5)
Web Applications for Everybody
Problem Solving, Python Programming, and Video Games from University of Alberta ★★★★☆(4)
Full Stack open 2022 from University of Helsinki ★★★★★(4)
CS For All: Introduction to Computer Science and Python Programming from Harvey Mudd College ★★★★★(4)
CS50’s Introduction to Game Development from Harvard University ★★★★☆(3)
How Computers Work from University of London International Programmes ★★★★☆(3)
Introduction to Web Development from University of California, Davis ★★★★☆(3)
Python Programming Essentials from Rice University ★★★★★(3)
Web Development and Design using WordPress from California Institute of the Arts ★★★★☆(3)
Object-Oriented Programming from Indian Institute of Technology Bombay ★★★☆☆(3)
C Programming: Modular Programming and Memory Management from Dartmouth College ★★★☆☆(3)
Introduction to Structured Query Language (SQL) from University of Michigan ★★★★☆(2)
The Beauty and Joy of Computing – AP® CS Principles Part 1 from University of California, Berkeley ★★★★★(2)
Introduction to Accounting Data Analytics and Visualization from University of Illinois at Urbana-Champaign ★★★★★(2)
Software Engineering: Introduction from The University of British Columbia ★★★☆☆(2)
Web Design: Strategy and Information Architecture from California Institute of the Arts ★★★★★(2)
Introduction to Software Testing from University of Minnesota ★★★★★(2)
TCP/IP and Advanced Topics from University of Colorado System ★★★★☆(2)
Introduction to Cybersecurity for Business from University of Colorado System ★★★★★(2)
Introduzione all’informatica from University of Naples Federico II ★★★★★(2)
Introduction to the Internet of Things (IoT) from Curtin University ★★★☆☆(2)
C Programming: Pointers and Memory Management from Dartmouth College ★★★★★(2)
C Programming: Language Foundations from Dartmouth College ★★★★★(2)
Linux Basics: The Command Line Interface from Dartmouth College ★★★★★(2)
C Programming: Using Linux Tools and Libraries from Dartmouth College ★★★★★(2)
Think. Create. Code from University of Adelaide ★★★★★(2)
Introduction to HTML and JavaScript from Microsoft ★★★★★(2)
Introduction to NodeJS from Microsoft ★★★★★(2)
Introduction to Database Queries from New York University (NYU) ★★★★★(2)
Software Engineering Essentials from Technische Universität München (Technical University of Munich) ★★★★☆(2)
Introducción a la programación en Python I: Aprendiendo a programar con Python from Pontificia Universidad Católica de Chile ★★★★★(2)
MongoDB Basics
CS50’s AP® Computer Science Principles from Harvard University ★★★★★(1)
CS50’s Mobile App Development with React Native from Harvard University ★★★★☆(1)
Databases: JSON Data from Stanford University ★☆☆☆☆(1)
Building Database Applications in PHP from University of Michigan ★★★★★(1)
Building Web Applications in Django from University of Michigan ★★★★★(1)
Computer Science: Programming with a Purpose from Princeton University ★★★★★(1)
Introduction to Computer Programming from University of London International Programmes ★★★★★(1)
Cyber Security Fundamentals from University of London International Programmes ★★★★★(1)
Principles of Secure Coding from University of California, Davis ★★★★★(1)
Python Data Visualization from Rice University ★★★★★(1)
Programming with Scratch from The Hong Kong University of Science and Technology ★★☆☆☆(1)
Cyber Security Economics from Delft University of Technology ★★☆☆☆(1)
Proactive Computer Security from University of Colorado System ★★★★★(1)
Introduction à la programmation orientée objet (en Java) from École Polytechnique Fédérale de Lausanne ★★★★★(1)
NoSQL Databases from University of Maryland, Baltimore County ★★☆☆☆(1)
Introduction to TCP/IP from Yonsei University ★★★★★(1)
Introdução à Ciência da Computação com Python Parte 1 from Universidade de São Paulo ★★★★★(1)
Writing Professional Code from Microsoft ★☆☆☆☆(1)
AI for Everyone: Master the Basics from IBM ★★★★★(1)
Introduction to Cloud Computing from IBM ★★★★★(1)
Introduction to Cyber Attacks from New York University (NYU) ★★★★★(1)
Lernen objekt-orientierter Programmierung from Technische Universität München (Technical University of Munich) ★★★★★(1)
Computing Form and Shape: Python Programming with the Rhinoscript Library from Rhode Island School of Design ★★★★★(1)
MyCS: Computer Science for Beginners from Harvey Mudd College ★★★☆☆(1)
Diseño Web con HTML5 + CSS from Universitas Telefónica ★☆☆☆☆(1)
Data Privacy Fundamentals from Northeastern University ★★★★★(1)
ES6 – JavaScript Improved
Applications of TinyML from Harvard University
Deploying TinyML from Harvard University
Databases: Unified Modeling Language from Stanford University
Databases: Indexes and Transactions from Stanford University
Databases: On-Line Analytical Processing from Stanford University
Databases: OLAP and Recursion from Stanford University
Databases: Semistructured Data from Stanford University
Databases: Modeling and Theory from Stanford University
Hacker Tools from Massachusetts Institute of Technology
Understanding the World Through Data from Massachusetts Institute of Technology
Computational Thinking for Problem Solving from University of Pennsylvania
AI Fundamentals for Non-Data Scientists from University of Pennsylvania
Django Features and Libraries from University of Michigan
Web Application Technologies and Django from University of Michigan
Web Application Technologies and Django from University of Michigan
Database Architecture, Scale, and NoSQL with Elasticsearch from University of Michigan
The Power of Object-Oriented Programming from University of Michigan
Introduction to DevSecOps from Johns Hopkins University
The Blockchain System from University of California, Irvine
Data, Security, and Privacy from University of California, Irvine
Productivity and Systems Development from University of California, Irvine
The Nature of Data and Relational Database Design from University of California, Irvine
The Beauty and Joy of Computing (CS Principles), Part 1 from University of California, Berkeley
The Beauty and Joy of Computing – AP® CS Principles Part 2 from University of California, Berkeley
The Beauty and Joy of Computing (CS Principles), Part 4 from University of California, Berkeley
The Beauty and Joy of Computing (CS Principles), Part 3 from University of California, Berkeley
Programming Fundamentals from Duke University
Interacting with the System and Managing Memory from Duke University
Introduction to Programming and Animation with Alice from Duke University
Cloud Computing Foundations from Duke University
Human Factors in AI from Duke University
Big Data Analytics in Healthcare from Georgia Institute of Technology
Data Analysis and Visualization from Georgia Institute of Technology
Introduction to Cybersecurity from University of Washington
Introduction to Internationalization and Localization from University of Washington
Applied Analytics and Data for Decision Making from University at Buffalo
Building Interactive 3D Characters and Social VR from University of London International Programmes
Coding for Designers, Managers, & Entrepreneurs I from University of Virginia
Coding for Designers, Managers, & Entrepreneurs II from University of Virginia
Coding for Designers, Managers, & Entrepreneurs III from University of Virginia
Artificial Intelligence in Marketing from University of Virginia
Identifying Security Vulnerabilities from University of California, Davis
Evidence and Data Collection for Problem Solving from University of Leeds
Python Data Analysis from Rice University
Введение в базы данных from St. Petersburg State Polytechnic University
Cloud Security Basics from University of Minnesota
«Вводный курс по контекстной рекламе» от «Яндекс.Практикум» (10 часов на освоение материала, без сертификата)
«Основы контекстной рекламы: Яндекс.Директ» от «Нетологии» (9 уроков, с сертификатом)
«Яндекс.Директ: подготовка к сертификации» от «Нетологии» (8 часов на освоение материала, с сертификатом)
«Яндекс.Директ простыми словами» от «Яндекса» (5 уроков, без сертификата)
«Как разместить рекламу в Директе» от «Яндекса» (10 уроков, без сертификата)
«Показатели эффективности рекламы» от «Яндекса» (4 урока, без сертификата)
«Кому доверить запуск рекламы в интернете» от «Яндекса» (7 уроков, без сертификата)
«Контекстная реклама: от основ до повышения эффективности» от eLama (12 уроков, без сертификата)
«Специалист по Яндекс.Директу» от ppc.world (41 урок, без сертификата)
«Основы Google Ads» от ppc.world (35 уроков, без сертификата)
«Контекстная реклама» от CyberMarketing (6 уроков, с сертификатом)
Foundations of Data Analytics from The Hong Kong University of Science and Technology
AP Computer Science A: Java Programming Classes and Objects from Purdue University
AP Computer Science A: Java Programming Loops and Data Structures from Purdue University
AP Computer Science A: Java Programming Polymorphism and Advanced Data Structures from Purdue University
Cybersecurity for Everyone from University of Maryland, College Park
What is “the mind” and what is artificial intelligence? from University of Colorado Boulder
Cybersecurity for Data Science from University of Colorado Boulder
Trees and Graphs: Basics from University of Colorado Boulder
Data Science as a Field from University of Colorado Boulder
Fundamentals of Data Visualization from University of Colorado Boulder
Relational Database Design from University of Colorado Boulder
Scratch: Programmeren voor kinderen (8+) from Delft University of Technology
AI in Practice: Preparing for AI from Delft University of Technology
AI in Practice: Applying AI from Delft University of Technology
Software Design Methods and Tools from University of Colorado System
Software Design as an Element of the Software Development Lifecycle from University of Colorado System
Software Design as an Abstraction from University of Colorado System
Shell Programming – A necessity for all Programmers from Indian Institute of Technology Bombay
Basi di dati from University of Naples Federico II
Programmazione I from University of Naples Federico II
Foundations of Data Science from Indian Institute of Management Bangalore
Relational Database Design from University System of Maryland
Relational Database Management Systems from University System of Maryland
Video Game Design and Balance from Rochester Institute of Technology
Deep Learning for Business from Yonsei University
Technologies and platforms for Artificial Intelligence from Politecnico di Milano
Cyber Security Basics: A Hands-on Approach from Universidad Carlos iii de Madrid
Introducción a UML from Universidad de los Andes
Web of Data from EIT Digital
Blockchain for the decision maker from EIT Digital
C Programming: Getting Started from Dartmouth College
C Programming: Advanced Data Types from Dartmouth College
Diseñando páginas web con Bootstrap 4 from Universidad Austral
Introdução à Ciência da Computação com Python Parte 2 from Universidade de São Paulo
Introduction to Design Thinking from Microsoft
AI Fundamentals from Microsoft
Introduction to Web Development with HTML5, CSS3, and JavaScript from IBM
NoSQL Database Basics from IBM
Relational Database Administration (DBA) from IBM
Introduction to Web Development with HTML, CSS, JavaScript from IBM
Introduction to DevOps from IBM
Cyber Attack Countermeasures from New York University (NYU)
Information Security – Authentication and Access Control from New York University (NYU)
Penetration Testing – Exploitation from New York University (NYU)
A Beginner’s Guide to Becoming a Blockchain Developer with Overledger from King’s College London
Introduction to Quantum Computing for Everyone from The University of Chicago
Introduction to Quantum Computing for Everyone 2 from The University of Chicago
Machine Learning: Concepts and Applications from The University of Chicago
Introduction to Blockchain Technology and Applications from University College London
Introduction to Open Source Networking Technologies from Linux Foundation
Data and AI Fundamentals from Linux Foundation
Programming Languages Ⅰ from Korea Advanced Institute of Science and Technology
Programming Languages Ⅱ from Korea Advanced Institute of Science and Technology
C for Everyone: Structured Programming from University of California, Santa Cruz
Data Visualization for All from Trinity College
Mobile Computing with App Inventor – CS Principles from The University of Warwick
プログラミングしながら学ぶコンピュータサイエンス入門 : Introduction to Computer Science and Programming from Tokyo Institute of Technology
Introduction to Computer Science and Programming from Tokyo Institute of Technology
Understanding Quantum Computers from Keio University
DevOps with Kubernetes from University of Helsinki
DevOps with Docker from University of Helsinki
Programming with GUIs from Raspberry Pi Foundation
Programming 102: Think Like a Computer Scientist from Raspberry Pi Foundation
Machine Learning Basics from Sungkyunkwan University
Introduction to MongoDB from MongoDB University
Programación Orientada a Objetos (POO) from MéxicoX
Information Technology Foundations from Western Governors University
Scripting and Programming Foundations from Western Governors University
HTTP & Web Servers

Средний уровень

Using Databases with Python from University of Michigan ★★★★★(4060)
R Programming from Johns Hopkins University ★★★☆☆(246)
The Data Scientist’s Toolbox from Johns Hopkins University ★★★☆☆(166)
Machine Learning for Musicians and Artists from Goldsmiths University of London ★★★★★(89)
Divide and Conquer, Sorting and Searching, and Randomized Algorithms from Stanford University ★★★★★(68)
Functional Programming Principles in Scala from École Polytechnique Fédérale de Lausanne ★★★★★(66)
Data Science and Agile Systems for Product Management from University System of Maryland ★★★★★(62)
Algorithms, Part I from Princeton University ★★★★★(59)
Getting and Cleaning Data from Johns Hopkins University ★★★☆☆(57)
Cryptography I from Stanford University ★★★★★(53)
Intelligenza Artificiale from University of Urbino ★★★★★(49)
Python for Data Science from University of California, San Diego ★★★★☆(47)
Introduction to Data Science in Python from University of Michigan ★★☆☆☆(46)
Object-Oriented Design from University of Alberta ★★★★☆(39)
Introduction to Big Data from University of California, San Diego ★★★☆☆(35)
Making Sense of Data in the Media from The University of Sheffield ★★★★★(35)
Statistical Inference from Johns Hopkins University ★★★☆☆(34)
Regression Models from Johns Hopkins University ★★★☆☆(34)
Probability and Statistics in Data Science using Python from University of California, San Diego ★★☆☆☆(31)
CS188.1x: Artificial Intelligence from University of California, Berkeley ★★★★★(30)
Principles of Computing (Part 1) from Rice University ★★★★★(30)
Reproducible Research from Johns Hopkins University ★★★★☆(27)
Practical Machine Learning from Johns Hopkins University ★★★☆☆(27)
Programming Languages, Part A from University of Washington ★★★★★(27)
Responsive Website Basics: Code with HTML, CSS, and JavaScript from University of London International Programmes ★★★★☆(27)
Mining Massive Datasets from Stanford University ★★★★★(25)
A Crash Course in Data Science from Johns Hopkins University ★★★★☆(25)
Design Patterns from University of Alberta ★★★★★(25)
Software Security from University of Maryland, College Park ★★★★☆(24)
Algorithmic Toolbox from University of California, San Diego ★★★★☆(23)
Introducción a la Inteligencia Artificial: Principales Algoritmos from Galileo University ★★★★★(22)
Algorithms, Part II from Princeton University ★★★★★(21)
Cloud Computing Concepts, Part 1 from University of Illinois at Urbana-Champaign ★★★☆☆(21)
Data Visualization from University of Illinois at Urbana-Champaign ★★★☆☆(21)
Learning From Data (Introductory Machine Learning) from California Institute of Technology ★★★★★(21)
Statistics and R from Harvard University ★★★★☆(20)
Automata Theory from Stanford University ★★★★☆(20)
Introduction to Machine Learning Course from Stanford University ★★★★☆(20)
Data Analysis with R from Facebook ★★★★★(18)
MongoDB for Java Developers
Process Mining: Data science in Action from Eindhoven University of Technology ★★★★☆(17)
Data Structures from University of California, San Diego ★★★★☆(16)
Principles of Computing (Part 2) from Rice University ★★★★☆(16)
Software Architecture from University of Alberta ★★★★☆(16)
How to Code: Simple Data from The University of British Columbia ★★★★☆(15)
Algorithmic Thinking (Part 1) from Rice University ★★★★☆(15)
The Nature of Code from Processing Foundation ★★★★★(15)
Design of Computer Programs from Stanford University ★★★★☆(14)
Python for Genomic Data Science from Johns Hopkins University ★★★☆☆(14)
Building a Data Science Team from Johns Hopkins University ★★★★☆(14)
Text Retrieval and Search Engines from University of Illinois at Urbana-Champaign ★★★☆☆(14)
Responsive Web Design from University of London International Programmes ★★★★☆(14)
Data Analysis: Take It to the MAX() from Delft University of Technology ★★★☆☆(13)
Intro to Data Science
Using Python for Research from Harvard University ★★★★☆(12)
Data Science in Real Life from Johns Hopkins University ★★★☆☆(12)
Data Science Math Skills from Duke University ★★★★☆(12)
Data Structures & Algorithms I: ArrayLists, LinkedLists, Stacks and Queues from Georgia Institute of Technology ★★★★★(12)
Discrete Optimization from University of Melbourne ★★★★☆(12)
Introduction to Software Product Management from University of Alberta ★★★★☆(12)
Data Science: R Basics from Harvard University ★★★★★(11)
Interactivity with JavaScript from University of Michigan ★★★★☆(11)
Human-Computer Interaction I: Fundamentals & Design Principles from Georgia Institute of Technology ★★★★★(11)
Biology Meets Programming: Bioinformatics for Beginners from University of California, San Diego ★★★☆☆(10)
Programming Languages from University of Virginia ★★★☆☆(10)
Learning from Data (Introductory Machine Learning course) from California Institute of Technology ★★★★★(10)
Full Stack Foundations
Managing Data Analysis from Johns Hopkins University ★★★☆☆(9)
Data Visualization and Communication with Tableau from Duke University ★★★★☆(9)
Cloud Computing Applications, Part 1: Cloud Systems and Infrastructure from University of Illinois at Urbana-Champaign ★★★☆☆(9)
Algorithmic Thinking (Part 2) from Rice University ★★★★☆(9)
Data Wrangling with MongoDB from MongoDB University ★★★☆☆(9)
Advanced Styling with Responsive Design from University of Michigan ★★★★☆(8)
Machine Learning Fundamentals from University of California, San Diego ★★★★☆(8)
Foundations of Data Analysis – Part 1: Statistics Using R from The University of Texas at Austin ★★★★☆(8)
Cryptography from University of Maryland, College Park ★★★★☆(8)
MATLAB and Octave for Beginners from École Polytechnique Fédérale de Lausanne ★★★★☆(8)
Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital from Duke University ★★★★☆(7)
Guided Tour of Machine Learning in Finance from New York University (NYU) ★☆☆☆☆(7)
Software Testing from University of Utah ★★★★☆(7)
Intro to DevOps from Nutanix ★★★☆☆(7)
Computer Graphics from University of California, San Diego ★★★★☆(6)
Data Structures and Performance from University of California, San Diego ★★★★☆(6)
Internet of Things: How did we get here? from University of California, San Diego ★★☆☆☆(6)
Computer Architecture from Princeton University ★★★★☆(6)
Analysis of Algorithms from Princeton University ★★★★☆(6)
Managing Big Data with MySQL from Duke University ★★★★☆(6)
Computer Networking from Georgia Institute of Technology ★★★★☆(6)
Data Structures & Algorithms II: Binary Trees, Heaps, SkipLists and HashMaps from Georgia Institute of Technology ★★★★★(6)
Cloud Computing Concepts: Part 2 from University of Illinois at Urbana-Champaign ★★★★★(6)
Web Application Development with JavaScript and MongoDB from University of London International Programmes ★★★★☆(6)
Introduction to Meteor.js Development from University of London International Programmes ★★★★☆(6)
Client Needs and Software Requirements from University of Alberta ★★★★★(6)
Interactive Computer Graphics from University of Tokyo ★★★☆☆(6)
Fundamentals of Machine Learning from Santa Fe Institute ★★★★★(6)
Software Debugging from Saarland University ★★★★★(6)
Intro to Algorithms
Intro to AJAX
Intro to Data Analysis
Networking for Web Developers
Software Construction in Java from Massachusetts Institute of Technology ★★★★★(5)
Internet of Things: Setting Up Your DragonBoard™ Development Platform from University of California, San Diego ★★★☆☆(5)
Data Structures: An Active Learning Approach from University of California, San Diego ★★★★★(5)
Software Development Process from Georgia Institute of Technology ★★★★☆(5)
Cloud Networking from University of Illinois at Urbana-Champaign ★★★★☆(5)
Social Network Analysis from University of California, Davis ★★★★★(5)
Database Management Essentials from University of Colorado System ★★★★☆(5)
Data Management and Visualization from Wesleyan University ★★☆☆☆(5)
JavaScript Promises from Google ★★★★★(5)
Data Science Essentials from Microsoft ★★★★☆(5)
Programming for Everyone – An Introduction to Visual Programming Languages from Weizmann Institute of Science ★★★★☆(5)
Parallel Programming Concepts
Data Visualization and D3.js
Algorithms on Strings from University of California, San Diego ★★★☆☆(4)
The R Programming Environment from Johns Hopkins University ★★★☆☆(4)
Data Manipulation at Scale: Systems and Algorithms from University of Washington ★★★☆☆(4)
Programming Languages, Part B from University of Washington ★★★★☆(4)
Data Analysis Tools from Wesleyan University ★★★☆☆(4)
Querying Data with Transact-SQL from Microsoft ★★★★☆(4)
Programming with Python for Data Science from Microsoft ★★★★☆(4)
Practical Numerical Methods with Python from George Washington University ★★★★☆(4)
Algorithms on Graphs from University of California, San Diego ★★★★☆(3)
Internet of Things: Communication Technologies from University of California, San Diego ★★★☆☆(3)
Mastering the Software Engineering Interview from University of California, San Diego ★★★★☆(3)
Big Data Modeling and Management Systems from University of California, San Diego ★★★☆☆(3)
Big Data Integration and Processing from University of California, San Diego ★★★★☆(3)
Algorithmic Design and Techniques from University of California, San Diego ★★★★☆(3)
Machine Learning: Unsupervised Learning from Brown University ★★★☆☆(3)
Software Architecture & Design from Georgia Institute of Technology ★★★★★(3)
Human-Computer Interaction II: Cognition, Context & Culture from Georgia Institute of Technology ★★★★★(3)
Data Structures & Algorithms III: AVL and 2-4 Trees, Divide and Conquer Algorithms from Georgia Institute of Technology ★★★★★(3)
Framework for Data Collection and Analysis from University of Maryland, College Park ★★★★☆(3)
Data Warehouse Concepts, Design, and Data Integration from University of Colorado System ★★★☆☆(3)
Service-Oriented Architecture from University of Alberta ★★★★☆(3)
Website Performance Optimization from Google ★★★★☆(3)
DevOps for Developers: How to Get Started from Microsoft ★★★★☆(3)
Build a Modern Computer from First Principles: Nand to Tetris Part II (project-centered course) from Hebrew University of Jerusalem ★★★★★(3)
Data Mining with Weka from University of Waikato ★★★★☆(3)
MongoDB for .NET Developers
Configuring Linux Web Servers
Language, Proof and Logic from Stanford University ★★★★★(2)
Mobile Application Experiences Part 1: From a Domain to an App Idea from Massachusetts Institute of Technology ★★★★★(2)
Software Development Fundamentals from University of Pennsylvania ★★★☆☆(2)
Building R Packages from Johns Hopkins University ★★★☆☆(2)
Data Science: Computational Thinking with Python from University of California, Berkeley ★★★★★(2)
Advanced Data Structures in Java from University of California, San Diego ★★★★☆(2)
Introduction to Machine Learning from Duke University ★★★★☆(2)
Human-Computer Interaction IV: Evaluation, Agile Methods & Beyond from Georgia Institute of Technology ★★★★★(2)
Programming Languages, Part C from University of Washington ★★★★☆(2)
Data Analytics Foundations for Accountancy I from University of Illinois at Urbana-Champaign ★☆☆☆☆(2)
Object-Oriented Data Structures in C++ from University of Illinois at Urbana-Champaign ★★★★☆(2)
Responsive Website Tutorial and Examples from University of London International Programmes ★★★★★(2)
How to Code: Complex Data from The University of British Columbia ★★★★★(2)
Fundamentals of Visualization with Tableau from University of California, Davis ★★★★☆(2)
Algorithms from Indian Institute of Technology Bombay ★★★★★(2)
Software Testing Management from University System of Maryland ★★☆☆☆(2)
Web Application Development: Basic Concepts from University of New Mexico ★★★★★(2)
Client-Server Communication from Google ★★★★★(2)
Introduction to Computation Theory from Santa Fe Institute ★★★★★(2)
Developing International Software, Part 1 from Microsoft ★★★★☆(2)
Principles of Machine Learning from Microsoft ★★★★★(2)
Data, Analytics, and Learning from University of Texas Arlington ★★☆☆☆(2)
Fundamentals of Machine Learning in Finance from New York University (NYU) ★★☆☆☆(2)
Autonomous Mobile Robots from ETH Zurich ★★★★★(2)
Knowledge Management and Big Data in Business from Hong Kong Polytechnic University ★★★★☆(2)
Approximation Algorithms Part I from École normale supérieure ★★★★★(2)
Introduction to Process Mining with ProM from Eindhoven University of Technology ★★★★☆(2)
HTML5 Apps and Games from World Wide Web Consortium (W3C) ★★☆☆☆(2)
Intro to Theoretical Computer Science
Compilers from Stanford University ★★★★★(1)
Graph Search, Shortest Paths, and Data Structures from Stanford University ★☆☆☆☆(1)
Computation Structures 2: Computer Architecture from Massachusetts Institute of Technology ★★★★☆(1)
Computational Thinking for Modeling and Simulation from Massachusetts Institute of Technology ★★☆☆☆(1)
Advanced Algorithms and Complexity from University of California, San Diego ★★★☆☆(1)
Advanced R Programming from Johns Hopkins University ★★★★☆(1)
Advanced Linear Models for Data Science 2: Statistical Linear Models from Johns Hopkins University ★★★★★(1)
Foundations of Healthcare Systems Engineering from Johns Hopkins University ★★★★★(1)
Programming for the Internet of Things Project from University of California, Irvine ★★★★☆(1)
Intro to Analytic Thinking, Data Science, and Data Mining from University of California, Irvine ★★★★★(1)
Basic Data Processing and Visualization from University of California, San Diego ★★★☆☆(1)
Database Systems Concepts & Design from Georgia Institute of Technology ★★★★☆(1)
Human-Computer Interaction III: Ethics, Needfinding & Prototyping from Georgia Institute of Technology ★★★★★(1)
Data Structures & Algorithms IV: Pattern Matching, Dijkstra’s, MST, and Dynamic Programming Algorithms from Georgia Institute of Technology ★★★★★(1)
Blockchain Basics from University at Buffalo ★★☆☆☆(1)
Mathematics for Computer Science from University of London International Programmes ★★★★★(1)
Software Construction: Data Abstraction from The University of British Columbia ★★★☆☆(1)
Software Construction: Object-Oriented Design from The University of British Columbia ★★☆☆☆(1)
DevOps Culture and Mindset from University of California, Davis ★★★★★(1)
Software Development Processes and Methodologies from University of Minnesota ★★★☆☆(1)
Server-side Development with NodeJS, Express and MongoDB from The Hong Kong University of Science and Technology ★★★★★(1)
Essential Linear Algebra for Data Science from University of Colorado Boulder ★★★★☆(1)
Data Analysis: Visualization and Dashboard Design from Delft University of Technology ★★★☆☆(1)
Automated Software Testing: Unit Testing, Coverage Criteria and Design for Testability from Delft University of Technology ★★★★☆(1)
Automated Software Testing: Model and State-based Testing from Delft University of Technology ★★★★★(1)
Fundamentals of Network Communication from University of Colorado System ★★★★★(1)
Linux Server Management and Security from University of Colorado System ★★★☆☆(1)
Hacking and Patching from University of Colorado System ★★★★★(1)
Formal Software Verification from University System of Maryland ★★☆☆☆(1)
Software Architecture for the Internet of Things from EIT Digital ★★★★☆(1)
Paradigms of Computer Programming from Université catholique de Louvain ★★★★☆(1)
Client-based Web Applications development: ReactJS & Angular from Universidad Politécnica de Madrid ★☆☆☆☆(1)
Advanced Algorithmics and Graph Theory with Python from Institut Mines-Télécom ★★★★★(1)
Browser Rendering Optimization from Google ★★★★☆(1)
Google Maps APIs from Google ★★★★★(1)
Cybersecurity and Mobility from University System of Georgia ★☆☆☆☆(1)
Developing SQL Databases from Microsoft ★★☆☆☆(1)
Introduction to TypeScript 2 from Microsoft ★☆☆☆☆(1)
Building Interactive Prototypes using JavaScript from Microsoft ★★★★☆(1)
Introduction to C# from Microsoft ★☆☆☆☆(1)
Algorithms and Data Structures from Microsoft ★★☆☆☆(1)
Algorithms and Data Structures in C# from Microsoft ★★★★★(1)
2D Game Development with libGDX from Amazon ★★★★★(1)
Overview of Advanced Methods of Reinforcement Learning in Finance from New York University (NYU) ★☆☆☆☆(1)
Advanced Database Queries from New York University (NYU) ★★★★★(1)
Advanced Database Administration from New York University (NYU) ★★★★★(1)
Introduction to Cloud Infrastructure Technologies from Linux Foundation ★★★★☆(1)
用Python玩转数据 Data Processing Using Python from Nanjing University ★★★★★(1)
Data Processing Using Python from Nanjing University ★★★☆☆(1)
Fundamentals of Parallelism on Intel Architecture from Intel ★★★★★(1)
An Introduction to Practical Deep Learning from Intel ★★★☆☆(1)
How to Win Coding Competitions: Secrets of Champions from ITMO University ★★★☆☆(1)
Hacker101 from HackerOne ★★★★★(1)
Diseño de Sistemas de información gerencial para Internet con MySQL / PHP y Joomla from Universidad del Rosario ★★★★★(1)
Technical Interview from Pramp ★★★★★(1)
Designing RESTful APIs
MongoDB for Javascript Developers
Quantitative Methods for Biology from Harvard University
Fundamentals of TinyML from Harvard University
Probabilistic Graphical Models 3: Learning from Stanford University
Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming from Stanford University
Shortest Paths Revisited, NP-Complete Problems and What To Do About Them from Stanford University
Algorithms: Design and Analysis, Part 1 from Stanford University
Algorithms: Design and Analysis, Part 2 from Stanford University
Mobile Application Experiences Part 3: Building Mobile Apps from Massachusetts Institute of Technology
Advanced Software Construction in Java from Massachusetts Institute of Technology
Mobile Application Experiences from Massachusetts Institute of Technology
Machine Learning for Healthcare from Massachusetts Institute of Technology
Data Structures and Software Design from University of Pennsylvania
Algorithm Design and Analysis from University of Pennsylvania
Data Analysis Using Python from University of Pennsylvania
Building Web Applications in Django from University of Michigan
Django Features and Libraries from University of Michigan
Web Application Technologies and Django from University of Michigan
Building Web Applications in Django from University of Michigan
Django Features and Libraries from University of Michigan
Developing AR/VR/MR/XR Apps with WebXR, Unity & Unreal from University of Michigan
Intro to AR/VR/MR/XR: Technologies, Applications & Issues from University of Michigan
Introduction to Machine Learning in Sports Analytics from University of Michigan
Database Architecture, Scale, and NoSQL with Elasticsearch from University of Michigan
Introduction to Neurohacking In R from Johns Hopkins University
Building Data Visualization Tools from Johns Hopkins University
Exploratory Data Analysis from Johns Hopkins University
The Merkle Tree and Cryptocurrencies from University of California, Irvine
Data Science: Machine Learning and Predictions from University of California, Berkeley
Blockchain Technology from University of California, Berkeley
Data, Models and Decisions in Business Analytics from Columbia University
Internet of Things: Sensing and Actuation From Devices from University of California, San Diego
Minecraft, Coding and Teaching from University of California, San Diego
How Virtual Reality Works from University of California, San Diego
Introduction to Genomic Data Science from University of California, San Diego
Data Structures Fundamentals from University of California, San Diego
Graph Algorithms from University of California, San Diego
String Processing and Pattern Matching Algorithms from University of California, San Diego
Computer Science: Algorithms, Theory, and Machines from Princeton University
Java Programming: Build a Recommendation System from Duke University
Cloud Data Engineering from Duke University
Cloud Virtualization, Containers and APIs from Duke University
Machine Learning Foundations for Product Managers from Duke University
Managing Machine Learning Projects from Duke University
Web Applications and Command-Line Tools for Data Engineering from Duke University
Human-Computer Interaction from Georgia Institute of Technology
Software Analysis & Testing from Georgia Institute of Technology
Introduction to Graduate Algorithms from Georgia Institute of Technology
Network Function Virtualization from Georgia Institute of Technology
Cloud Systems Software from Georgia Institute of Technology
Cloud Applications from Georgia Institute of Technology
Cybersecurity: The CISO’s View from University of Washington
Building a Cybersecurity Toolkit from University of Washington
Finding Your Cybersecurity Career Path from University of Washington
Machine Teaching for Autonomous AI from University of Washington
Designing Autonomous AI from University of Washington
Building Autonomous AI from University of Washington
Data Analytics Foundations for Accountancy II from University of Illinois at Urbana-Champaign
Data Modeling and Regression Analysis in Business from University of Illinois at Urbana-Champaign
Unordered Data Structures from University of Illinois at Urbana-Champaign
Ordered Data Structures from University of Illinois at Urbana-Champaign
Machine Learning for Accounting with Python from University of Illinois at Urbana-Champaign
Machine Learning Algorithms with R in Business Analytics from University of Illinois at Urbana-Champaign
Advanced Deep Learning Methods for Healthcare from University of Illinois at Urbana-Champaign
Blockchain Platforms from University at Buffalo
Smart Contracts from University at Buffalo
Decentralized Applications (Dapps) from University at Buffalo
Data Analysis and Visualization from University at Buffalo
Supercomputing from Partnership for Advanced Computing in Europe
Introduction to Predictive Analytics using Python from University of Edinburgh
Foundations of Data Science: K-Means Clustering in Python from University of London International Programmes
Introduction to Applied Cryptography from University of London International Programmes
Implementation Strategies: AI and Cognitive Computing from The University of British Columbia
Implementation Strategies: Cloud Computing from The University of British Columbia
Worldbuilding for Video Games from The University of British Columbia
Creating Dashboards and Storytelling with Tableau from University of California, Davis
Essential Design Principles for Tableau from University of California, Davis
Continuous Integration from University of California, Davis
Data Wrangling, Analysis and AB Testing with SQL from University of California, Davis
Identifying Security Vulnerabilities in C/C++Programming from University of California, Davis
Exploiting and Securing Vulnerabilities in Java Applications from University of California, Davis
Distributed Computing with Spark SQL from University of California, Davis
Game Design and Development 3: 3D Shooter from Michigan State University
Game Design and Development 2: 2D Platformer from Michigan State University
Game Design and Development 1: 2D Shooter from Michigan State University
Game Design and Development 4: 3D Platformer from Michigan State University
Moving to the Cloud from University of Melbourne
Signals, Systems, and Learning from Rice University
Bioinformatics: Introduction and Methods 生物信息学: 导论与方法 from Peking University
面向对象技术高级课程（The Advanced Object-Oriented Technology） from Peking University
操作系统与虚拟化安全 from Peking University
计算机组成 Computer Organization from Peking University
计算机辅助翻译原理与实践 Principles and Practice of Computer-Aided Translation from Peking University
数据结构基础 from Peking University
高级数据结构与算法 from Peking University
操作系统原理（Operating Systems） from Peking University
算法设计与分析 Design and Analysis of Algorithms from Peking University
算法基础 from Peking University
算法设计与分析(高级) | Advanced Design and Analysis of Algorithms from Peking University
Java程序设计 from Peking University
LAFF – On Programming for Correctness from The University of Texas at Austin
Lean Software Development from University of Minnesota
Engineering Practices for Building Quality Software from University of Minnesota
Introduction to Automated Analysis from University of Minnesota
Web and Mobile Testing with Selenium from University of Minnesota
Black-box and White-box Testing from University of Minnesota
Front-End Web UI Frameworks and Tools: Bootstrap 4 from The Hong Kong University of Science and Technology
Mathematical Methods for Data Analysis from The Hong Kong University of Science and Technology
Software Engineering: Modeling Software Systems using UML from The Hong Kong University of Science and Technology
Software Engineering: Implementation and Testing from The Hong Kong University of Science and Technology
Software Engineering: Software Design and Project Management from The Hong Kong University of Science and Technology
Big Data for Reliability and Security from Purdue University
Introduction to Deep Learning from Purdue University
Dealing With Missing Data from University of Maryland, College Park
Project Planning and Machine Learning from University of Colorado Boulder
Algorithms for Searching, Sorting, and Indexing from University of Colorado Boulder
Dynamic Programming, Greedy Algorithms from University of Colorado Boulder
Data Mining Methods from University of Colorado Boulder
Fundamentals of Software Architecture for Big Data from University of Colorado Boulder
Advanced Topics and Future Trends in Database Technologies from University of Colorado Boulder
Applications of Software Architecture for Big Data from University of Colorado Boulder
Software Architecture Patterns for Big Data from University of Colorado Boulder
Data Analysis: Building Your Own Business Dashboard from Delft University of Technology
Global Software Development from Delft University of Technology
Fundamentals of Quantum Information from Delft University of Technology
Homeland Security & Cybersecurity Connection – It’s Not About the Terrorists from University of Colorado System
Peer-to-Peer Protocols and Local Area Networks from University of Colorado System
Packet Switching Networks and Algorithms from University of Colorado System
Detecting and Mitigating Cyber Threats and Attacks from University of Colorado System
Design and Analyze Secure Networked Systems from University of Colorado System
Basic Cryptography and Programming with Crypto API from University of Colorado System
Asymmetric Cryptography and Key Management from University of Colorado System
Symmetric Cryptography from University of Colorado System
Software Design Threats and Mitigations from University of Colorado System
Requirements Specifications: Goals and Conflict Analysis from University of Colorado System
SRS Documents: Requirements and Diagrammatic Notations from University of Colorado System
Requirements Gathering for Secure Software Development from University of Colorado System
Software Requirements Prioritization: Risk Analysis from University of Colorado System
Requirements Elicitation: Artifact and Stakeholder Analysis from University of Colorado System
Data Structures and Design Patterns for Game Developers from University of Colorado System
Cloud Computing Security from University of Colorado System
Advanced System Security Topics from University of Colorado System
Algorithms, Data Collection, and Starting to Code from University of Colorado System
Data Analysis and Representation, Selection and Iteration from University of Colorado System
Implementation of Data Structures from Indian Institute of Technology Bombay
Foundations of Data Structures from Indian Institute of Technology Bombay
I sistemi Operativi Moderni from University of Naples Federico II
Nuove tecnologie digitali from University of Naples Federico II
Laboratorio di programmazione: strumenti e programmi from University of Naples Federico II
NoSQL systems from Universidad Nacional Autónoma de México
Designing data-intensive applications from Universidad Nacional Autónoma de México
Relational database systems from Universidad Nacional Autónoma de México
Cognición encarnada from Universidad Nacional Autónoma de México
Software Testing Fundamentals from University System of Maryland
Data Structures and Algorithm Design Part I | 数据结构与算法设计(上) from Tsinghua University
Data Structures and Algorithms (I) from Tsinghua University
Data Structures and Algorithms (II) from Tsinghua University
Data Structures and Algorithms (III) from Tsinghua University
Data Structures and Algorithms (IV) from Tsinghua University
Algoritmos y Programación en R from Tecnológico de Monterrey
Enterprise Software Lifecycle Management from National Research Nuclear University MEPhI
Data Processing and Analysis with Excel from Rochester Institute of Technology
Data Representation and Visualization in Tableau from Rochester Institute of Technology
Getting Started with Unreal Engine from Rochester Institute of Technology
Artificial Intelligence: An Overview from Politecnico di Milano
Machine Learning: an overview from Politecnico di Milano
The Software Architect Code: Building the Digital World from Universidad Carlos iii de Madrid
Introduction to Java Programming: Fundamental Data Structures and Algorithms from Universidad Carlos iii de Madrid
Introduction to Architecting Smart IoT Devices from EIT Digital
Architecting Smart IoT Devices from EIT Digital
I/O-efficient algorithms from EIT Digital
Reviews & Metrics for Software Improvements from University of Alberta
Cybersecurity and Privacy in the IoT from Curtin University
Communicating with Robots and Bots from Curtin University
Understanding Artificial Intelligence through Algorithmic Information Theory from Institut Mines-Télécom
Procedural Modelling from National University of Singapore
Using Machine Learning in Trading and Finance from New York Institute of Finance
Introdução ao Teste de Software from Universidade de São Paulo
Intro to Data Structures and Algorithms from Google
Offline Web Applications from Google
Intro to Progressive Web Apps from Google
Introduction to Data Structures from University of Adelaide
Programming for Data Science from University of Adelaide
Cybersecurity and the X-Factor from University System of Georgia
Cybersecurity and the Internet of Things from University System of Georgia
Programming in R for Data Science from Microsoft
Developing Intelligent Apps and Bots from Microsoft
Applied Machine Learning from Microsoft
AngularJS: Framework Fundamentals from Microsoft
Implementing In-Memory SQL Database Objects from Microsoft
Building Functional Prototypes using Node.js from Microsoft
Application Design Considerations: An Inclusive Approach from Microsoft
Designing Data Platform Solutions from Microsoft
Network Security & Database Vulnerabilities from IBM
Cybersecurity Compliance Framework & System Administration from IBM
Real-Time Cyber Threat Detection and Mitigation from New York University (NYU)
Enterprise and Infrastructure Security from New York University (NYU)
Information Security – Introduction to Information Security from New York University (NYU)
Information Security – Advanced topics from New York University (NYU)
Penetration Testing – Discovering Vulnerabilities from New York University (NYU)
Penetration Testing – Post Exploitation from New York University (NYU)
Quantum Computer Systems Design I: Intro to Quantum Computation and Programming from The University of Chicago
Quantum Computer Systems Design II: Principles of Quantum Architecture from The University of Chicago
Quantum Computer Systems Design III: Working with Noisy Systems from The University of Chicago
Blockchain Scalability and its Foundations in Distributed Systems from The University of Sydney
Introduction to DevOps: Transforming and Improving Operations from Linux Foundation
Introduction to Kubernetes from Linux Foundation
Business Considerations for 5G with Edge, IoT, and AI from Linux Foundation
Open Source and the 5G Transition from Linux Foundation
Introduction to Serverless on Kubernetes from Linux Foundation
Web App Development with the Power of Node.js from Technische Universität München (Technical University of Munich)
IoT System Architecture: Design and Evaluation from Waseda University
UML Class Diagrams for Software Engineering from KU Leuven University
Data Science in the Games Industry from University of Dundee
Internet of Things for Active Ageing from Taipei Medical University
Orientação a Objetos com Java from Instituto Tecnológico de Aeronáutica
Computer Architecture from Harvey Mudd College
More Data Mining with Weka from University of Waikato
Introduction: Elements of Microgame Design from Worcester Polytechnic Institute
Using R for Regression and Machine Learning in Investment from Sungkyunkwan University
Mejora tu Negocio con Inteligencia Artificial from Universidad Anáhuac
Defensive Programming and Debugging from Partnership for Advanced Computing in Europe
Python in High Performance Computing from Partnership for Advanced Computing in Europe
Concurrency from AdaCore University
Introduction to Applied Machine Learning from Alberta Machine Intelligence Institute
Bias and Discrimination in AI from Université de Montréal
Deep Learning Essentials from Université de Montréal
Code of Life – When Computer Science Meets Genetics
Dynamic Web Applications with Sinatra
Deploying Applications with Heroku
VR Scenes and Objects
MongoDB for Python Developers

Сеньор

The Analytics Edge from Massachusetts Institute of Technology ★★★★★(80)
Machine Learning Foundations: A Case Study Approach from University of Washington ★★★★☆(40)
Sample-based Learning Methods from University of Alberta ★★★★★(40)
Computer Simulations from University of California, Davis ★★★★★(38)
Introducción al diseño de hardware con Verilog from Galileo University ★★★★★(38)
Introduction to Artificial Intelligence from Stanford University ★★★★☆(27)
[New] Machine Learning for Computer Vision from MathWorks
Fundamentals of Reinforcement Learning from University of Alberta ★★★★★(24)
Pattern Discovery in Data Mining from University of Illinois at Urbana-Champaign ★★☆☆☆(21)
Machine Learning: Regression from University of Washington ★★★★★(20)
Statistical Thinking for Data Science and Analytics from Columbia University ★★☆☆☆(19)
Bitcoin and Cryptocurrency Technologies from Princeton University ★★★★☆(19)
Prediction and Control with Function Approximation from University of Alberta ★★★★★(19)
Probabilistic Graphical Models 1: Representation from Stanford University ★★★★☆(18)
Developing Data Products from Johns Hopkins University ★★★★☆(18)
Finding Hidden Messages in DNA (Bioinformatics I) from University of California, San Diego ★★★★★(17)
Neural Networks and Deep Learning from DeepLearning.AI ★★★★★(15)
Machine Learning for Data Science and Analytics from Columbia University ★★★☆☆(15)
Machine Learning With Big Data from University of California, San Diego ★★☆☆☆(14)
Artificial Intelligence (AI) from Columbia University ★★★★☆(12)
Machine Learning from Columbia University ★★★★☆(12)
Text Mining and Analytics from University of Illinois at Urbana-Champaign ★★★★☆(10)
Hardware Security from University of Maryland, College Park ★★★☆☆(10)
Applied Plotting, Charting & Data Representation in Python from University of Michigan ★★☆☆☆(9)
Machine Learning: Classification from University of Washington ★★★★★(9)
Mathematics for Machine Learning: Multivariate Calculus from Imperial College London ★★★★★(9)
Convolutional Neural Networks from DeepLearning.AI ★★★★★(8)
Reinforcement Learning from Brown University ★★★☆☆(8)
Practical Deep Learning For Coders from fast.ai ★★★★☆(8)
Cluster Analysis in Data Mining from University of Illinois at Urbana-Champaign ★★★☆☆(7)
Structuring Machine Learning Projects from DeepLearning.AI ★★★★☆(6)
Applied Machine Learning in Python from University of Michigan ★★★★☆(6)
Enabling Technologies for Data Science and Analytics: The Internet of Things from Columbia University ★☆☆☆☆(6)
Graph Analytics for Big Data from University of California, San Diego ★★★☆☆(6)
Machine Learning from Georgia Institute of Technology ★★★★☆(6)
Advanced Operating Systems from Georgia Institute of Technology ★★★★★(6)
Interactive 3D Graphics from Autodesk ★★★★☆(6)
Model Building and Validation from AT&T ★★☆☆☆(6)
Machine Learning: Clustering & Retrieval from University of Washington ★★★★★(5)
Applied Cryptography from University of Virginia ★★★★☆(5)
Introduction to Computer Architecture from Carnegie Mellon University ★★★★★(5)
Sparse Representations in Image Processing: From Theory to Practice from Technion – Israel Institute of Technology ★★★★★(5)
Genome Sequencing (Bioinformatics II) from University of California, San Diego ★★★★★(4)
Machine Learning for Data Analysis from Wesleyan University ★★★★☆(4)
Probabilistic Graphical Models 2: Inference from Stanford University ★★★★☆(3)
Applied Social Network Analysis in Python from University of Michigan ★★★★☆(3)
Practical Predictive Analytics: Models and Methods from University of Washington ★★☆☆☆(3)
Regression Modeling in Practice from Wesleyan University ★★★★☆(3)
Mathematics for Machine Learning: PCA from Imperial College London ★★☆☆☆(3)
Quantitative Formal Modeling and Worst-Case Performance Analysis from EIT Digital ★★★☆☆(3)
Comparing Genes, Proteins, and Genomes (Bioinformatics III) from University of California, San Diego ★★★★★(2)
Genomic Data Science and Clustering (Bioinformatics V) from University of California, San Diego ★★★★☆(2)
Knowledge-Based AI: Cognitive Systems from Georgia Institute of Technology ★★★☆☆(2)
Introduction to Operating Systems from Georgia Institute of Technology ★★★★★(2)
Intro to Information Security from Georgia Institute of Technology ★★☆☆☆(2)
Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud from University of Illinois at Urbana-Champaign ★★★☆☆(2)
Foundations of Data Analysis – Part 2: Inferential Statistics from The University of Texas at Austin ★★★★☆(2)
Introduction to Deep Learning from Higher School of Economics ★★★☆☆(2)
Nearest Neighbor Collaborative Filtering from University of Minnesota ★★☆☆☆(2)
Data Mining: Theories and Algorithms for Tackling Big Data | 数据挖掘：理论与算法 from Tsinghua University ★★★☆☆(2)
Reinforcement Learning in Finance from New York University (NYU) ★☆☆☆☆(2)
Real-Time Analytics with Apache Storm from Twitter ★★★★☆(2)
Advanced Linear Models for Data Science 1: Least Squares from Johns Hopkins University ★★★★★(1)
Artificial Intelligence for Breast Cancer Detection from Johns Hopkins University ★★★★☆(1)
High Performance Computer Architecture from Georgia Institute of Technology ★★★★★(1)
Computational Photography from Georgia Institute of Technology ★★★★☆(1)
Computability, Complexity & Algorithms from Georgia Institute of Technology ★★★★★(1)
Network Security from Georgia Institute of Technology ★★★★★(1)
Big Data, Genes, and Medicine from State University of New York ★★★★☆(1)
Quantum Machine Learning from University of Toronto ★★★★★(1)
Parallel Programming in Java from Rice University ★★★★☆(1)
Concurrent Programming in Java from Rice University ★★★★★(1)
Relational Database Support for Data Warehouses from University of Colorado System ★★☆☆☆(1)
Big Data Analysis with Scala and Spark from École Polytechnique Fédérale de Lausanne ★★★☆☆(1)
Nature, in Code: Biology in JavaScript from École Polytechnique Fédérale de Lausanne ★★★☆☆(1)
Hands-on Text Mining and Analytics from Yonsei University ★★★★★(1)
Optimize ML Models and Deploy Human-in-the-Loop Pipelines from DeepLearning.AI ★★★★☆(1)
DevOps Practices and Principles from Microsoft ★★☆☆☆(1)
Deep Learning and Reinforcement Learning from IBM ★★★☆☆(1)
Introduction to Cloud Foundry and Cloud Native Software Architecture from Linux Foundation ★★★★★(1)
Sparse Representations in Signal and Image Processing: Fundamentals from Technion – Israel Institute of Technology ★★★★★(1)
AI for Medical Diagnosis from DeepLearning.AI ★★★★☆(1)
Big Data Science with the BD2K-LINCS Data Coordination and Integration Center from Icahn School of Medicine at Mount Sinai ★★★★☆(1)
Security Operations and Administration from (ISC)² ★★★★★(1)
Systems and Application Security from (ISC)² ★★★★☆(1)
Identifying, Monitoring, and Analyzing Risk and Incident Response and Recovery from (ISC)² ★★★★☆(1)
Principles, Statistical and Computational Tools for Reproducible Data Science from Harvard University
Unsupervised Learning, Recommenders, Reinforcement Learning from DeepLearning.AI
Advanced Learning Algorithms from DeepLearning.AI
Real-Time Audio Signal Processing in Faust from Stanford University
Computation Structures 3: Computer Organization from Massachusetts Institute of Technology
Number Theory and Cryptography from University of California, San Diego
Introduction to Concurrent Programming with GPUs from Johns Hopkins University
Cryptography and Hashing Overview from University of California, Irvine
Predictive Modeling, Model Fitting, and Regression Analysis from University of California, Irvine
Cluster Analysis, Association Mining, and Model Evaluation from University of California, Irvine
Data Science: Inferential Thinking through Simulations from University of California, Berkeley
Molecular Evolution (Bioinformatics IV) from University of California, San Diego
Finding Mutations in DNA and Proteins (Bioinformatics VI) from University of California, San Diego
Dynamic Programming: Applications In Machine Learning and Genomics from University of California, San Diego
NP-Complete Problems from University of California, San Diego
Design Thinking and Predictive Analytics for Data Products from University of California, San Diego
Deploying Machine Learning Models from University of California, San Diego
Meaningful Predictive Modeling from University of California, San Diego
High Performance Computing from Georgia Institute of Technology
GT – Refresher – Advanced OS from Georgia Institute of Technology
Artificial Intelligence from Georgia Institute of Technology
Cyber-Physical Systems Security from Georgia Institute of Technology
Compilers: Theory and Practice from Georgia Institute of Technology
FA17: Machine Learning from Georgia Institute of Technology
Machine Learning from Georgia Institute of Technology
Cyber-Physical Systems Design & Analysis from Georgia Institute of Technology
Predictive Analytics using Machine Learning from University of Edinburgh
Plant Bioinformatics from University of Toronto
Advanced Modeling for Discrete Optimization from University of Melbourne
Basic Modeling for Discrete Optimization from University of Melbourne
离散优化建模基础篇 Basic Modeling for Discrete Optimization from The Chinese University of Hong Kong
离散优化建模高阶篇 Advanced Modeling for Discrete Optimization from The Chinese University of Hong Kong
离散优化算法篇 Solving Algorithms for Discrete Optimization from The Chinese University of Hong Kong
Solving Algorithms for Discrete Optimization from University of Melbourne
Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions from Rice University
Quantum Cryptography from California Institute of Technology
LAFF-On Programming for High Performance from The University of Texas at Austin
Machine Learning from The University of Texas at Austin
Обработка изображений from Higher School of Economics
Introduction to Recommender Systems: Non-Personalized and Content-Based from University of Minnesota
Recommender Systems: Evaluation and Metrics from University of Minnesota
Matrix Factorization and Advanced Techniques from University of Minnesota
Computer Applications of Artificial Intelligence and e-Construction from Purdue University
Combining and Analyzing Complex Data from University of Maryland, College Park
Introduction to High-Performance and Parallel Computing from University of Colorado Boulder
Statistical Inference for Estimation in Data Science from University of Colorado Boulder
Classical Cryptosystems and Core Concepts from University of Colorado System
Mathematical Foundations for Cryptography from University of Colorado System
Cryptographic Hash and Integrity Protection from University of Colorado System
Cryptography and Information Theory from University of Colorado System
MATLAB et Octave pour débutants from École Polytechnique Fédérale de Lausanne
Optimization: principles and algorithms – Linear optimization from École Polytechnique Fédérale de Lausanne
Optimization: principles and algorithms – Network and discrete optimization from École Polytechnique Fédérale de Lausanne
Optimization: principles and algorithms – Unconstrained nonlinear optimization from École Polytechnique Fédérale de Lausanne
Il linguaggio naturale, dall’uomo alla macchina from University of Naples Federico II
Machine Learning e Data Mining in R from University of Naples Federico II
機器學習基石下 (Machine Learning Foundations)—Algorithmic Foundations from National Taiwan University
人工智慧：搜尋方法與邏輯推論 (Artificial Intelligence – Search & Logic) from National Taiwan University
人工智慧：機器學習與理論基礎 (Artificial Intelligence – Learning & Theory) from National Taiwan University
Operations Research (1): Models and Applications from National Taiwan University
Operations Research (2): Optimization Algorithms from National Taiwan University
Sesenta años de inteligencia artificial from Universidad Nacional Autónoma de México
Razonamiento artificial from Universidad Nacional Autónoma de México
DNA Sequences: Alignments and Analysis from University System of Maryland
计算几何 | Computational Geometry from Tsinghua University
Big Data Machine Learning | 大数据机器学习 from Tsinghua University
System Validation: Automata and behavioural equivalences from EIT Digital
System Validation (2): Model process behaviour from EIT Digital
System Validation (4): Modelling Software, Protocols, and other behaviour from EIT Digital
System Validation (3): Requirements by modal formulas from EIT Digital
Approximation Algorithms from EIT Digital
Automated Reasoning: Symbolic Model Checking from EIT Digital
Generative Modelling from National University of Singapore
Performative Modelling from National University of Singapore
Infrastructure as Code from Microsoft
DevOps Testing from Microsoft
DevOps for Databases from Microsoft
Secure Software Development: Verification and More Specialized Topics from Linux Foundation
Secure Software Development: Requirements, Design, and Reuse from Linux Foundation
Introduction to RISC-V from Linux Foundation
Building a RISC-V CPU Core from Linux Foundation
RISC-V Toolchain and Compiler Optimization Techniques from Linux Foundation
Cyber-Physical Systems: Modeling and Simulation from University of California, Santa Cruz
Introduction to Statistical Methods for Gene Mapping from Kyoto University
AI for Medical Prognosis from DeepLearning.AI
AI For Medical Treatment from DeepLearning.AI
Build Basic Generative Adversarial Networks (GANs) from DeepLearning.AI
Build Better Generative Adversarial Networks (GANs) from DeepLearning.AI
Apply Generative Adversarial Networks (GANs) from DeepLearning.AI
Generative Deep Learning with TensorFlow from DeepLearning.AI
Custom Models, Layers, and Loss Functions with TensorFlow from DeepLearning.AI
Deploying Machine Learning Models in Production from DeepLearning.AI
Machine Learning Modeling Pipelines in Production from DeepLearning.AI
Machine Learning Data Lifecycle in Production from DeepLearning.AI
Introduction to Machine Learning in Production from DeepLearning.AI
Computer System Design: Advanced Concepts of Modern Microprocessors from Chalmers University of Technology
Approximation Algorithms Part II from École normale supérieure
Reliable Distributed Algorithms – Part 2 from KTH Royal Institute of Technology
Access Controls from (ISC)²
Networks and Communications Security from (ISC)²
Optimizing Machine Learning Performance from Alberta Machine Intelligence Institute

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