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Statistical Computing
Module 0 (Pre-class)
Lesson 0: Configuring your computer
Module 1
Overview
Lesson 1a: Introduction to JupyterLab
Lesson 1b: Variables, operators & types
Lesson 1c: More operators & conditionals
Lesson 1d: Data structures
Module 2
Overview
Lesson 2a: Packages, libraries & modules
Lesson 2b: Importing data
Lesson 2c: Deeper dive on DataFrames
Module 3
Overview
Lesson 3a: Subsetting data
Lesson 3b: Manipulating data
Lesson 3c: Summarizing data
Module 4
Overview
Lession 4a: Tidy data
Lesson 4b: Relational data
Lesson 4c: Handling text data
Module 5
Overview
Lession 5a: Plotting with Pandas
Lesson 5b: Plotting with Matplotlib
Lesson 5c: Plotting with Bokeh
Module 6
Overview
Lession 6a: Conditional statements
Lesson 6b: Iteration statement
Lesson 6C: Writing functions
Module 7
Overview
Lesson 7a: Data Exploration
Lesson 7b: First model with scikit-learn
Lesson 7c: Feature Engineering
Lesson 7d: Model Evaluation & Selection
Repository
Open issue
Index
