Get hands-on practice with organizational and industry-specific analytics scenarios. This Applied Data Analysis: Working in Organizations and Industries course gives you the chance to try out different applied data analyst roles so that you can be better prepared for the work of an analyst.
About This Course
While the fundamental skills of data analysis contain common patterns for 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.
What you’ll learn
In this course, you will learn how to:
- Understand Data’s contexts and applications in specific industries and in organizational settings
- Practice common data analyst techniques while adapting for unique scenarios
- 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
- Basic excel proficiency, fundamental math and statistics background, data visualization fluency
- 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
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.
Assistant Professor of Psychology, Data Science consultant
Seattle Pacific University
Dr. Tom Carpenter is Assistant Professor of Psychology at Seattle Pacific University, and is also a Data Science consultant. His areas of expertise include personality-social psychology, research methods, and statistics. His teaching focuses on introductory and advanced research methods and statistics in psychology as well as social and personality psychology. Dr. Carpenter’s research focuses on our hypocritical human nature: our propensity to ignore our overt preferences and standards and to transgress against ourselves and others. One line of research in this area focuses on implicit bias, the impulsive thoughts that can undermine our higher reasoning. Dr. Carpenter has developed new software methods for running the Implicit Association Test (IAT) using online survey software (read more here: www.iatgen.wordpress.com). A second line of research focuses on guilt, shame, and self-forgiveness, specifically focusing on the functions of ‘guilt-proneness’ and ‘shame-proneness’ as well as associations with the general ability to forgive the self. Finally, Dr. Carpenter has conducted research related to his area of teaching (statistics education).
Start learning Applied Data Analysis: Working in Organizations and Industries
You can enroll now for the Applied Data Analysis: Working in Organizations and Industries course at our DataChangers Academy ! Do you want to learn more? Then check out our other Data Analysis Track Courses .