unit-4b.md

Unit 4B (Bonus Material): Dataviz and Business Analytics

Prerequisites: Datastores, and Processing CSV Data

NOTE: this unit is provided as optional bonus material for students interested in dataviz, statistics, natural language processing, and machine learning

Learning Objectives

In this unit, we'll learn how to use Python to create business intelligence and analytics tools. We'll use third-party Python packages to analyze and visualize insights gleaned from CSV data. We'll also get more familiar with taking an active, independent learning approach.

Slides

Discussions and Notes

• Business Intelligence and Data Visualization
• Metrics and Key Performance Indicators (KPIs)

Reference Documents

• Data Visualization in Python:
  • The matplotlib Package
  • The plotly Package
  • The altair Package
• Analytics and Statistics:
  • The nltk Package - for natural language processing
  • The scikitlearn Package - for machine learning
  • The keras Package - for machine learning and neural networks

Activities and Exercises

• "Chart Gallery" Exercise
• "Executive Dashboard" Exercise
• "Monthly Sales Predictions" Exercise