1. Онлайн-курсы
1.1. Enterpreneurship
1.1.1. MITx: Enterpreneurship 101
1.1.2. MITx: Enterpreneurship 102
1.1.3. Uni of Maryland: New Venture Finance: Startup Funding for Entrepreneurs
1.1.4. Uni of Maryland: Innovation for Entrepreneurs: From Idea to Marketplace
1.1.5. Uni of Maryland: Developing Innovative Ideas for New Companies: The First Step in Entrepreneurship
1.1.6. Stanford: Technology Enterpreneurship
1.2. Personal development
1.2.1. BerkleyX: The Science of Happiness
1.2.2. Wesleyan Uni: Social Psychology
1.2.3. UfT: Introduction to Psychology
1.3. Data science
1.3.1. Python
1.3.1.1. Pluralsight: Python Fundamentals
1.3.1.2. Unit testing with Python
1.3.1.3. The Python Developer's Toolkit
1.3.2. Algorithms
1.3.2.1. Pluralsight: Algorithms and Data Structures - Part 1
1.3.2.2. Pluralsight: Algorithms and Data Structures - Part 2
1.3.2.3. Brad Miller: Interactive Python
1.3.3. Linux
1.3.3.1. Linus Foundation: Introduction to Linux
1.3.3.2. Pluralsight: Linux learning path
1.3.4. R
1.3.4.1. Revolution Analytics: DeployR
1.3.4.2. DataCamp: dplyr
1.3.4.3. DataCamp: Intro to Revolution R
1.3.5. Data analysis
1.3.5.1. Harvard: Data science
1.3.5.2. MITx: The Analytics Edge
1.3.6. Visualization
1.3.6.1. Pluralsight: Big data analytics with Tableau
1.3.6.2. Dataviz: Визуализация. Основы
1.3.7. Domain-Related
1.3.7.1. Google: Making sense of Data
1.3.7.2. Google: Mobile app analytics fundamentals
1.3.7.3. Google: Ecommerce Analytics
1.3.8. Azure
1.3.8.1. MS: Getting started with MS Azure ML
1.3.9. Math
1.3.9.1. Stanford: Statistical learning
1.3.9.2. DataCamp: A hands-on introduction to statistics with R
1.3.9.3. DataCamp: Intro to Computional Finance and Econometrics
1.3.9.4. San Jose State Uni (Udacity): Statistics - the science of decisions
1.3.9.5. Washington U: Computational Methods for Data Analysis
1.3.10. Google: Data analytics platform principles