README.md

Awesome Udacity Bertelsmann Scholarship Resources

A collection of awesome learning resources from Bertelsmann Tech Scholarship from the Data Track.

Contributions are always welcome!

Course Information

Course Calendar

Up-to-date Information on Scholarship Activities

Course FAQs

Frequently asked questions

Orientation

Slides

AMA's

Links will be Updated Soon

• AMA Session 1: Friday, 11/22 at 9:00 AM (PST) | 10:30 PM (IST)
• AMA Session 2: Monday 11/25 at 9:00 PM (PST) | Tuesday 11/26 10:30 AM (IST)
• AMA Session 3: Tuesday, 11/26 at 10:00 AM (PST) | 11:30 PM (IST)

Study Groups

Link to Study Groups

Study Tracker

Course Overview and Tracker from Tobiloba Adaramati

Resources

• Resources
  • Documentation
  • Learn Python
  • Courses
  • Tutorials
  • Books
  • Blogs

Documentation

• Python Official Documentation

Learn Python

• Automate the Boring Stuff with Python

• 2-Day Python course for Python beginners

• Introduction to Computer Science and Programming in Python

• Microsoft's Programming with Python

Courses

Some of the Courses shared from the #resources channel that can you take alongside Bertelsmann Scholarship

• Coursera' Machine Learning Course by Stanford

• CS109 Data Science from Harvard

• mlcourse.ai is an open Machine Learning course by OpenDataScience. The course is designed to perfectly balance theory and practice; therefore, each topic is followed by an assignment with a deadline in a week.

• Statistics - A Full University Course on Data Science Basics

• Introduction to Data Science

Tutorials

• Learning Python

• SQL Tutorial

• Numpy Tutorial - Stanford CS231n

• Data Wrangling with MongoDB

Books

Books - free and commercial

• How To Code In Python

• Python For Everybody

• Think Stats Probability and Statistics

• An Introduction to Statistical Learning

Blogs

• Data Science Central

• KDuuggets

• Simply Statistics

• Analytics Vidhya

• Towards Data Science

• Chris Albon

• Data School

Stay tuned

Star this repository for futures improvements and general information.