Introduction to Statistics for Data Science

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Offered byOpenSAP

Introduction to Statistics for Data Science
at
OpenSAP
Overview

Duration	6 weeks
Total fee	Free
Mode of learning	Online
Official Website	Explore Free Course
Credential	Certificate

Introduction to Statistics for Data Science
at
OpenSAP
Highlights

Gain a Record of Achievement by earning at least 50% of the maximum number of points from all graded assignments.
Gain a Confirmation of Participation by completing at least 50% of the course material
Subtitles (auto-generated): Deutsch, Français, Español

Introduction to Statistics for Data Science
at
OpenSAP
Course details

Skills you will learn

Regression Statistics SAP Data analysis Data Science

Who should do this course?

Anybody interested in learning basic statistical concepts

More about this course

Join this free online course to understand some of the basic statistical concepts and practices that are the foundations of data science and the way we analyze data
Learn about the fundamental principles of statistics and how it can be used in your everyday life
This course will provide 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
The course is spread over six weeks and consists of lectures and weekly assignments

Introduction to Statistics for Data Science
at
OpenSAP
Curriculum

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

Introduction to Statistics for Data Science
at
OpenSAP
Faculty details

Stuart Clarke

Stuart Clarke is a chief consultant with Global Consulting Delivery, Analytics and Insight, focusing on predictive analytics and data science. He has specialized in operational research, data science, predictive analytics, and advanced analytics for over 25 years, working extensively in the telecommunications, retail, utilities, and financial services sectors. At SAP, he provides predictive analytics consultancy, developing and implementing predictive models for SAP customers and delivering POCs for customers and prospects. He also holds introduction courses for SAP Predictive Analytics and deep-dive technical sessions to SAP customers, partners, and internals, world-wide.