examples of using Python for introductory data science concepts

Course Outline

Stage 1: Introduction

• Installation

Stage 2: Describing Data

• Loading raw data into data structure(s)
• Calculate descriptive Stats
  • Count
  • Sums or Totals
  • Average or Mean
  • Max, Min
• Quiz

Stage 3: Data Functions

• Cleaning Data
• Filtering Rows
• Grouping columns
• Code Challenge

Stage 4: Exporting

• Exporting CSV Files
• Writing more functions to export csv files
• Exporting to Excel
• Code challenge

Stage 5: Charts

• Line Charts
• Bar Charts
• Tables
• Code Challenge

Stage 6: Reports

• Labeling
• Adjusting backgrounds and lines
• Create PDFs
• Code Challenge

Installation and Setup

You'll need Python3, numpy, and matplotlib.

pip install -r requirements.txt

To see examples, run python src/examples.py