Business Intelligence and Data Analytics Handbook
Python Code for the Business Intelligence and Data Analytics Handbook. Includes data visualization, dashboards, descriptive and inferential statistics, supervised and unsupervised machine learning, and reinforced learning.
Instructional videos available on Youtube
Improving the efficiency and effectiveness of organizations by applying knowledge and tools from economics, marketing research, management, statistics, business intelligence and data analytics.
Chapter 5
Descriptive Analytics - What is happening?
Chapter 7
Data Sources
Chapter 8
Diagnostic Analytics - Why is it happening?
Chapter 9
Predictive Analytics - What is going to happen?
Chapter 10
Prescriptive Analytics - What should the organization do?
Chapter 11
Cognitive Analytics - Automate the decision making
These codes cannot be completed in Google Colab and instead require Python coding on device using Microsoft Visual Studio Code. Please see the book for code and setup instructions.
Appendix
Introduction to Python. Cleaning and coding data in Python.
Large Datasets
Links to large datasets
Supplemental Materials
Additional code