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About this course
While the fundamental skills of data analysis contain common patterns across every organization and industry, there are specific considerations when tackling data analyst work in context. This course is meant to give the aspiring data analyst deeper practice in specific organizational and industrial contexts so that they can be better prepared for the unique contexts they’ll find themselves in when doing work on the job.
You will explore data analysis within the context of business, education, healthcare, and government and we will explore different career paths within each.
What you’ll learn
- Understand Data’s contexts and applications in specific industries and in organizational settings
- Practice common data analyst techniques while adapting for unique scenarios
- How to work with different types of data
- Try out different types of data analyst roles to see what data problems resonate
- Learn about where a Data Analyst career can go from this course and beyond
Estimate Time : 16 hours
Module 1: Data Analysis in Context
Module 2: Data Analysis for Business
Module 3: Data Analysis for Education
Module 4: Data Analysis for Healthcare
Module 5: Data Analysis for Government
Module 6: Careers for Data Analysts
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
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.
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