Course Summary

This course will provide you with the knowledge to understand some of the basic statistical concepts and practices that are the foundations of data science and the way we analyze data. We’ll also be highlighting how statistics can be misused and abused, leading to accidental misunderstandings or deliberate distortions to support a particular prejudiced view.

Throughout this course, you’ll be looking at how data can be summarized in a variety of ways to give you a descriptive overview of large data sets and their variations. We’ll explore how data distributions can be understood and compared. You’ll also learn how you can start finding patterns in the data, where changes in one variable may be (partly) explained by changes in another. In addition, you’ll learn a little about how to estimate the likelihood of certain outcomes based on certain prior information. Finally, we’ll link this up to some of the common tools available that make these kinds of analyses easier.

The course is spread over six weeks and consists of lectures and weekly assignments.
Statistics can be a complex subject, but in this course, you’ll revisit the fundamental principles and start to appreciate how it can be used in your everyday life. We’ll focus primarily on the key principles.

Here is what some participants are saying about the course:

“It was a brilliant course! Thank you. At times, challenging - in a good way. I’m grateful to Stuart and Mike for navigating us through what felt like a mountain of new information…I’m also grateful to SAP for offering great courses. I’d definitely like to learn more about statistics. read the original post

“Once again an informative and gratifying course from Stuart Clark, now with the help of Mike Jordan! Big thanks to the whole team for creating it, you make learning truly enjoyable!” read the original post

“This was a great knowledge refreshment after long years from finishing university, Thank you for this great course, well elaborated and consistent content.“ read the original post

“This is a very great introductory course to Data Science. I can't wait to start other related openSAP courses on Data Science.” read the original post

“Thanks, I enjoyed this course very much. There should be many ways to explain about Statistics however the way explained here was step by step” read the original post

“openSAP platform is wonderful to enhance knowledge by customizing my own time. This course is excellent. I am excited to refresh my statistics knowledge after 10 years. All the tools, examples, web links and references are awesome.” read the original post

“Let me express my profound gratitude to the openSAP team for a course like this. This has indeed set me on way for a career in Business Intelligence and Reporting Analytics. I look forward to taking more openSAP courses in the near future.” read the original post

Course Characteristics

• Starting from: October 08, 2019, 09:00 UTC. (What does this mean?)
• Duration: 6 weeks (3-4 hours per week)
• Final exam: November 19, 2019, 09:00 UTC – November 27, 2019, 09:00 UTC
• Course language: English
• How is an openSAP course structured?

Course Content

Week 1: Introduction to Statistics
Week 2: Descriptive Statistics
Week 3: Correlation and Linear Regression
Week 4: Introduction to Probability
Week 5: Probability Distributions
Week 6: Connecting to Your SAP Solutions
Week 7: Final Exam

Target Audience

Anybody interested in learning basic statistical concepts

Course Requirements

Basic numeracy