Module 03
Data Handling & Analysis
Most of a working data job is here. Models are the short part; getting trustworthy data into the right shape is the long part.
9 topics ~60 h estimated learning time
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- 3.1 NumPy: arrays, broadcasting, vectorization
Foundation · 8 h
- 3.2 Pandas: series, dataframes, indexing
Foundation · 8 h
- 3.3 Pandas: groupby, joins, reshaping, time series
Core · 8 h
- 3.4 SQL for data work
Foundation · 8 h
- 3.5 Data cleaning and leakage
Core · 6 h
- 3.6 Exploratory data analysis as a discipline
Core · 5 h
- 3.7 Visualization that communicates
Core · 6 h
- 3.8 Feature engineering
Core · 6 h
- 3.9 Bigger-than-memory data
Advanced · 5 h