Course Topics and Materials

Topic No.	Topic	Sub-Topics	Tutorials/Exercises
1	Setting up Data Science Working Environment	Command Line Basics Installing Python Jupyter Tutorial Git and Github	CLI Advanced CLI Jupyter Git Part 1 Git Part 2
2	Python Basics	Objects v. Variables Python Strings (string section only!) Reading Python Errors (Tracebacks)	Objects v variables
3	Numpy	Numbers in Computers Numerical Operations	numpy
4	Pandas	Pandas 1: Series Pandas 2: DataFrames Indices Missing Data Views and Copies in Pandas Merging Cleaning Data Reshaping Groupby	Series DataFrames Indices Missing Data Data Cleaning Data Merging Groupby Reshaping
5	Plotting	Plotting in Python, Part 1 Plotting in Python, Part 2	Plotting 1 Plotting 2
6	Modelling	statsmodels scikit-learn	statsmodels scikitlearn Writing your own model
7	Working with Big Data	What is Big Data? Strategies for Big Data Parquet Format Parallel Computing Distributed Computing with dask	Big Data Dask Dask 2
8	Azure	What is The Cloud Storage on Azure Setup a VM on Azure Setup a Cluster on Azure Dask on Azure More Azure Concepts Azure from Command Line
9	Optimized Programming	Understanding Performance Improving Performance