Description

Estimate Time : 18 hours

Module 1: Introduction to Data and Variables

Module 2: Summarizing Data with Distributions and Graphs

Module 3: Summary Statistics

Module 4: Business Statistics

Module 5: Introduction to Inferential Math and Forecasting

Ben Olsen
Sr. Content Developer at Microsoft

Ben is a Sr. Content Developer for Microsoft’s Learning and Readiness team, and is an analytics professional and educator with over 8 years of industry and managerial experience. Prior to joining Microsoft, Ben ran and directed multiple consulting firms, where he also held critical analytics roles in companies as diverse as Juniper Networks, Costco, and T-Mobile. He has taught Data Visualization at The University of Washington, and recently founded Seattle Pacific University’s Analytics Certificate Program.

Dr Tom Carpenter
Data Science and Research Consultant
Baylor University

Tom Carpenter is a freelance data science and research consultant and owner of Tom Carpenter PhD Consulting. Tom has a PhD in Social Psychology from Baylor University (doctoral minor in statistics). Tom has worked for several years as a freelance research consultant and statistician with several companies and research organizations, and he also teaches research and statistics. Tom’s passion is helping people hear the story in their data and to draw sound statistical inferences from that data.

Trevor Barnes

Additional information

Certificate

When you enrolled into this course you will automatically get a Certificate of Participation for completing the course. An example is provided below.