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. |