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Data Science I Specialization

Expand beyond Computer Science into Statistics, Probability and Data Science

Note: The data science specializations are more involved and will require more effort than some of the other specializations.

Courses Status Evidence
Data Science
M001: MongoDB Basics
Applied Data Science with Python
Deep Learning
M220P
Take this: Introduction to Probability and Statistics (more rigorous)
or this: Khan Academy Probability and Statistics (a more gentle introduction)
Reading Status Evidence
Think Python
Pandas Docs
Think Stats
Numpy Docs
An Introduction to Statistical Learning
Think Bayes
Practice Status Evidence
Do 10 problems (of your choice) on Rosalind
Complete one competition of your choice from Crowd Analytix
Complete one Bot Programming Competition on CodinGame
Complete Deep Learning - TensorFlow on CodinGame
Do 20 problems (of your choice) on Rosalind
Complete the Digit Recognizer competition on Kaggle
Complete the Hackerrank Probability Challenges
Complete the Hackerrank Linear Algebra Foundations Challenges
Complete one competition of your choice from Crowd Analytix
Complete one competition of your choice from Analytics Vidhya
Complete one competition of your choice from Driven Data
Complete one competition of your choice on Kaggle
Capstone Status Evidence
Create a website highlighting what you learned and built during this tier. Use this as an opportunity to create a portfolio of your projects, notes, blog posts, etc.