README.md

Coursera and EdX courses

This is about learning courses in Coursera. The quiz and programming homework is belong to coursera and edx. All the answers given written by myself.

All quiz answers stored in this repositories

Coursera website: https://www.coursera.org

List of Courses

• The University of Melbourne & The Chinese University of Hong Kong - Basic Modeling for Discrete Optimization

• Stanford University - Machine Learning

• Rice University - Python Data Representations

• Rice University - Python Data Analysis

• Rice University - Python Data Visualization

• Johns Hopkins University - Data Science Specialization

1. Johns Hopkins University - R Programming

2. Johns Hopkins University - Getting and Cleaning Data

3. Johns Hopkins University - Exploratory Data Analysis

4. Johns Hopkins University - Reproducible Research

• University of California, San Diego - Object Oriented Programming in Java

• University of California, San Diego - Data Structures and Performance

• University of California, San Diego - Advanced Data Structures in Java

• IBM: Applied Data Science Specialization

1. IBM: Open Source tools for Data Science

2. IBM: Data Science Methodology

3. IBM: Python for Data Science

4. IBM: Databases and SQL for Data Science

5. IBM: Data Analysis with Python

6. IBM: Data Visualization with Python

7. IBM: Machine Learning with Python

8. IBM: Applied Data Science Capstone Project

• University of Helsinki: Object-Oriented Programming with Java, part I

• The Hong Kong University of Science and Technology - Python and Statistics for Financial Analysis

• Google IT Automation with Python Professional Certificate

1. Google - Crash Course on Python

2. Google - Using Python to Interact with the Operating System

• Delft University of Technology - Automated Software Testing

• University of Maryland, College Park: Cybersecurity Specialization

• University of Maryland, College Park: Programming Mobile Applications for Android Handheld Systems: Part 1

• Harvard University - Introduction to Computer Science CS50x

• Duke University - Java Programming: Principles of Software Design

• Duke University - Java Programming: Solving Problems with Software

• Duke University - Java Programming: Arrays, Lists, and Structured Data

• Duke University - Data Science Math Skills

• Massachusetts Institute of Technology - Introduction to Computer Science and Programming Using Python 6.00.1x

• Massachusetts Institute of Technology - Introduction to Computational Thinking and Data Science 6.00.2x

• Johns Hopkins University: Ruby on Rails Web Development Specialization

• University of Michigan - Web Design for Everybody: Web Development & Coding Specialization

1. University of Michigan - HTML5

2. University of Michigan - CSS3

3. University of Michigan - Interactivity with JavaScript

• Stanford University - Introduction to Mathematical Thinking

• University of London - Responsive Website Development and Design Specialization

• University of California, San Diego - Biology Meets Programming: Bioinformatics

• University of Toronto - Learn to Program: The Fundamentals

• University of Toronto - Learn to Program: Crafting Quality Code

• University of British Columbia - How to Code: Simple Data HtC1x

• University of British Columbia - Software Construction: Data Abstraction

• University of British Columbia - Software Construction: Object-Oriented Design

• AWS-AWS Computer Vision Getting Started with GluonCV

• Vanderbilt University-Introduction to Programming with MATLAB

• University of California, Santa Cruz-C++ For C Programmers, Part A

• CentraleSupélec-Build Your First Android App (Project-Centered Course)

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