CIS 340: Python for Analytics — Schedule

Week Day	Date	Units and Topics	Resources	Due
Mon	8/17	Unit 1: Getting Started with Jupyter Notebooks VS Code Google Colab Jupyter Notebooks	1 Getting Started Python interpreter VS Code Create a Gmail account Working with Jupyter Notebooks in VS Code Working with Jupyter Notebooks in Google Colab
Wed	8/19	Unit 2: NumPy The Data Analytics Ecosystem NumPy ndarrays NumPy Statistical Functions	2 NumPy NumPy.ndarray NumPy.ptp (peak to peak) NumPy.amax NumPy.average
Fri	8/21	Unit 2: NumPy Basic Indexing and Slicing Importing Data Into NumPy Arrays	2 NumPy
Mon	8/24	Unit 3: Pandas Reading CSV Files Pandas DataFrames	3 Pandas read_csv() head() shape dtypes
Wed	8/26	Unit 3: Pandas Reading Excel Files Bringing Code into Notebooks	3 Pandas read_excel()
Fri	8/28	Lab Day (working session) Work on Lab 1 & Group Presentation		Ex 1.1 Ex 2.1 Ex 3.1 Ex 3.2