This repo contains exercises, course notes, and Jupyter notebooks from my Data Science Career Accelerator mentored by Lauren (Washington) Grummert. The custom curriculum is modeled after Thinkful's 12-week Data Science program, which she also mentored for previously.
- Week 1: Multivariate Calculus
- Week 2: Statistics and Probability
- Week 3: Linear Algebra
- Week 4: Python for Data Science (importing, cleaning, manipulating data with pandas)
- Week 5: Data Visualization
- Week 6: Statistical Thinking in Python
- Week 7: Advanced SQL
- Week 8: Supervised Learning with Scikit-Learn
- Week 9: Unsupervised Learning and Dimensionality Reduction
- Week 10: Deep Learning in Python
- Week 11: Advanced Deep Learning
- Week 12: Network Analysis