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文 | 不会品酒的咖啡师不是好的程序员

编辑 | 不会品酒的咖啡师不是好的程序员

时长 | 一杯咖啡的时间

入门课程：

莱斯大学 Rice Universty

1. An Introduction to Interactive Programming in Python

多伦多大学 University of Toronto

1. Learn to Program: The Fundamentals

2. Learn to Program: Crafting Quality Code

哈佛大学 Harvard University

1. CS50’s Introduction to Computer Science

2. CS50’s Web Programming with Python and JavaScript

3. CS50’s Mobile App Development with React Native

麻省理工大学 MIT

1. Introduction to Computer Science and Programming Using Python

斯坦福大学 Stanford University

1. Computer Science 101

2. Introduction to Computer Networking

3. Principles of Computing

加州大学伯克利分校 University of California, Berkeley

杜克大学 Duke University

1. Programming Foundations with JavaScript, HTML and CSS

香港科技大学 The Hong Kong University of Science and Technology

1. Introduction to Java Programming 

加州大学洛杉矶分校 UCLA

1. Introduction to Programming for the Visual Arts with p5.js

康奈尔大学 Cornell University

1. The Computing Technology Inside Your Smartphone

普林斯顿大学 Princeton University

1. Networks: Friends, Money, and Bytes

谷歌 Google

1. Android Basics: Make Your First App

佐治亚理工 Georgia Institute of Technology

1. Introduction to Computing using Python

2. Computing in Python II: Control Structures

3. Computing in Python III: Data Structures

4. Computing in Python IV: Objects & Algorithms

新加坡国立大学 National University of Singapore

1. Web Coding Fundamentals: HTML, CSS and Javascript

普度大学  Purdue University

1. Computer Science A: Java Programming Loops and Data Structures

2. Computer Science A: Java Programming Classes and Objects

3. Computer Science A: Java Programming Polymorphism and Advanced Data Structures

中级课程：

斯坦福大学 Stanford University

1. Machine Learning

2. Cryptography

普林斯顿大学

1. Algorithms, Part I & II

2. Computer Architecture

加州大学伯克利分校 University of California, Berkeley

1. Artificial Intelligence

2. Computer Graphics

麻省理工 MIT

1. Computational Thinking for Modeling and Simulation

2. Mathematics for Computer Science

3. Software Construction in Java

马里兰大学 University of Maryland

1. Cryptography

墨尔本大学 University of Melbourne

1. Discrete Optimization

多伦多大学 University of Toronto

1. Introduction To Swift Programming

伊利诺伊斯大学香槟分校

1. Cloud Computing Applications, Part 1: Cloud Systems and Infrastructure

北京大学 Peking University

1. 面向对象技术高级课程（The Advanced Object-Oriented Technology）

2. 算法设计与分析 Design and Analysis of Algorithms

香港科技大学 The Hong Kong University of Science and Technology

1. Multiplatform Mobile App Development with React Native

阿德莱德大学 University of Adelaide

1. Introduction to Data Structures

Facebook

1. Mobile Design and Usability for Android

2. Mobile Design and Usability for iOS

纽约大学 NYU

1. 
   

   Overview of Advanced Methods of Reinforcement Learning in Finance

   
   

高级课程：

麻省理工 MIT

1. Introduction to Deep Learning

2. Deep Learning for Self-Driving Cars

3. Computation Structures 3: Computer Organization

多伦多大学 University of Toronto

1. Quantum Machine Learning

清华大学 Tsinghua University

1. Big Data Machine Learning

佐治亚理工 Georgia Institue of Technology

1. Knowledge-Based AI: Cognitive Systems

2. High Performance Computing

3. Network Security

4. Machine Learning

斯坦福大学 Stanford University

1. Real-Time Audio Signal Processing in Faust

哥伦比亚大学 Columbia University

1. Machine Learning

墨尔本大学 University of Melbourne

1. Basic Modeling for Discrete Optimization

谷歌 Google

1. Learn TensorFlow and deep learning, without a Ph.D.

2. Machine Learning Crash Course with TensorFlow APIs

微软 Microsoft

1. DevOps for Databases

2. DevOps Testing

3. DevOps Practices and Principles

卡耐基梅隆 Carnegie Mellon University

1. Statistical Machine Learning

2. Introduction to Computer Architecture

伦敦帝国理工 Imperial College London

1. Mathematics for Machine Learning: Multivariate Calculus

2. Mathematics for Machine Learning: PCA

3. Mathematics for Machine Learning: Linear Algebra

IBM

1. Deep Learning with Python and PyTorch

2. Deep Learning with Tensorflow

马里兰大学 University System of Maryland

1. Cloud Computing Security

牛津大学 University of Oxford

1. Deep Learning for Natural Language Processing

(ISC)²

1. Identifying, Monitoring, and Analyzing Risk and Incident Response and Recovery

2. Networks and Communications Security

3. Systems and Application Security

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