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Business Analytics Foundations: Descriptive, Exploratory, and Explanatory Analytics

Business Analytics Foundations: Descriptive, Exploratory, and Explanatory Analytics

41mIntermediate2021-08-25

Authors

Kumaran Ponnambalam

Kumaran Ponnambalam

Working with data for 20+ years

Course details

Business analytics allows us to learn from the past and make better predictions for the future. There are three types of analytics used for learning from the past. Descriptive analytics summarizes historical data; exploratory analytics uncovers hidden patterns; and explanatory analytics reveals the reasons for business results. Each type encompasses a different set of tools, technologies, processes, and best practices to derive insights from data. This course by Kumaran Ponnambalam explains why they matter and how and when to use them.

He starts by setting the context for business analytics and its various stages. You then explore the stages that focus on the past: descriptive, exploratory, and explanatory. With each stage, you learn about the processes, techniques, and best practices used in the field. Finally, you walk through a use case (the results of an email marketing campaign) that demonstrates how analysis is performed at each stage.

Learning objectives
Business analytics and its stages
Descriptive analytics
Exploratory analytics
Explanatory analytics
Best practices and use cases

Skills covered

Business AnalyticsFoundationsData Science

Concepts

0. Introduction

  • 01 - Getting started with business analytics
  • 02 - What is business analytics (BA)
  • 03 - Business analytics compared
  • 04 - Stages of business analytics
  • 05 - Business analytics process
  • 06 - Course use cases

1. Descriptive Analytics (DEA)

  • 07 - DEA definition
  • 08 - DEA tools and techniques
  • 09 - DEA use case
  • 10 - DEA best practices

2. Exploratory Analytics (EDA)

  • 11 - EDA definition
  • 12 - EDA tools and techniques
  • 13 - EDA use case
  • 14 - EDA best practices

3. Explanatory Analytics (EPA)

  • 15 - EPA definition
  • 16 - EPA tools and techniques
  • 17 - EPA use case
  • 18 - EPA best practices

Conclusion

  • 19 - Continuing on with business analytics

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