Day 1: Intro / Logistics / Crime in The Data District
Day 2: Life Cycle of Data / Data Vocab
Day 3: Data Careers
Day 4: Data Cleaning
Day 5: Descriptive analytics / Statistics
Day 6: Data Visualization
Day 7: How To Make a Good Graph
Day 8: Data Exploratory Analysis
Day 9: Remaking Data Viz
Day 10: Dashboard (Tableau)
Day 11: Dashboard 2 (Tableau)
Day 12: Delivering Insight
Day 13: SQL
Day 14: Python
Day 15: Python 2
Day 16: Machine Learning
Day 17: Machine Learning 2
Day 18: Data Engineering
Day 19: Data Storytelling
Day 20: Putting it all together
Day 21: Review / Quiz
BONUS Day 22: FINALE!