Course duration: 0,69h
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.
Topics include:
- Recall the data sources utilized in business analytics.
- Explain potential problems with having an excessive number of metrics and reports when conducting descriptive analytics.
- Identify the questions each type of business analytics is intended to answer.
- Recognize the appropriate type of business analytics given a scenario.
- Describe the business analytics that can be used with various types of data.
- Determine next steps after completing an analysis.
This course is in French only. If this is not a problem for you, by all means go ahead and apply.