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 |
---|---|---|
Big Data | ||
Statistics for Applications | ||
Data Science | ||
Convex Optimization | ||
Probabilistic Systems Analysis and Applied Probability | ||
Hadoop | ||
Reading | Status | Evidence |
Think Complexity | ||
Matplotlib Tutorials | ||
The Quest for Artificial Intelligence | ||
Multiagent Systems | ||
scikit-learn | ||
Differential Equations in Data Science | ||
A Course in Machine Learning | ||
Probabilistic Programming and Bayesian Methods for Hackers | ||
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 one competition of your choice on Kaggle | ||
Complete the Hackerrank Artificial Intelligence 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 | ||
Do 20 problems (of your choice) on Rosalind | ||
Complete one Bot Programming Competition on CodinGame | ||
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. |