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Practical Data Science in Python

IDS 720

Class Schedule

Setting Up Your Environment

Setting Up Python and conda
Setting Up VS Code
Augmenting Your Command Line
Jupyter Notebooks
VS Code, R, and Jupyter

Command Line

Command Line Basics
Advanced Command Line
Git and Github

Numpy

Vectors
Subsetting Vectors
- Modifying Subsets of Vectors
- Recap
Views and Copies
Matrices
Arrays
Random numbers

Pandas

Welcome to Pandas
Indexes
Views and Copies in Pandas
- Views and Copies in pandas
- The View/Copy Headache in pandas without Copy on Write
Reading Data
- Binary Data
Data Cleaning
Data Manipulations

Data Visualization

Matplotlib Fundamentals
Different Types of Plots
Advanced Matplotlib
Seaborn Objects and GoG
- Seaborn Object Recipes

Big Data & Performance

What is Big Data?
Big Data Strategies
Parquet
Object dtypes
Solving Performance Issues
Parallel Computing
Distributed Computing with dask

Practical Skills and Concepts

Debugging
- Debugging Python in VS Code
Defensive Programming
Workflow Management
Getting Help Online
Python: Variables vs. Objects
- Python vs. R: Important Differences To Be Aware Of
Backwards Design
Numbers in Computers
Writing Good Jupyter Notebooks
Reviewing Code on Github
conda Environments

Statistical Modelling

Inference vs. Prediction Data Science
Linear Regression in Python
Categorical Variables, Indicator Variables and Linear Regression
Pulling Back the Curtain: Pandas to Numpy with patsy
OPTIONAL: Beyond The Basic Model

Professional Advice

How To Buy A Computer
chatGPT and You
So You’re Thinking About a PhD
Ergonomics and Adaptive Tech
Duke Data Science Electives

Miscellaneous

Running Python in the VS Code Interactive Window
Understanding and Managing Python Packages
Combining numbers and text into strings: f-strings

Repository
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By Kyle Bradbury & Nick Eubank

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