Communicating Model Results and Data Insights for Data Scientists
Communicating the results of an analysis is critical to success as a data scientist. This course will teach you how to use various strategies to ensure that you can clearly communicate the results of your models and insights that you identify.
What you'll learn
As a data scientist, you spend lots of time working with data to generate exciting new insights and answer business questions. But how should you share these findings with colleagues and stakeholders? In this course, Communicating Model Results and Data Insights for Data Scientists, you'll learn how to become a more effective data scientist by clearly communicating the results of your analysis. First, you’ll learn about multiple audiences, and how to identify their needs and preferences. Next, you’ll discover techniques to simplify complex topics and engage with your stakeholders. Then, you’ll take a look at data visualization techniques and how these can be used to engage with our audience. When you’re finished with this course, you’ll have the knowledge to take the results of your analysis and share them effectively with both technical and non-technical audiences!
Table of contents
About the author
Jason Browning is a data and analytics professional with extensive experience in both the public and private sector, currently serving as the chief data officer at Montana State University. As a Tableau Desktop Certified Professional, Jason loves to build data visualizations that both inform and inspire. He is capable of wrangling messy data both inside and outside of Tableau, and using SQL to perform complex queries. He holds a Ph.D. in higher education administration from the University of Wy... more