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Enable self-service analytics across business units.
This course teaches the foundations for data access, data quality, visualization and deployment. Students learn to apply consistent processes for accessing and analyzing data sets in order to extract meaningful information from them. They will also be taught basic elements of design, and to use visualization tools to graphically display potentially complex relationships in a comprehensible way.
Inconsistent Maturity - How can more teams leverage data and develop their own analytic insights?
Capacity Constraint - Technical teams are too busy supporting existing solutions, no time to research and develop new ones.
Key Person Risk - One person or team responsible for many analytic solutions.
Recognize the shared responsibility of data, how to align solutions around a ‘decision to be made’ and the sources of data available today in an organization.
Set a process for accessing, evaluating and preparing data to be a trustworthy source for exploratory data analysis.
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Leverage basic statistics and visual design to test a hypothesis, prototype calculations and iterate an analytic solution to solve a business need.
Understand the process for retrieving operational data efficiently and securely.
Apply effective methods for data analysis and interpretation.
Visualize data as a story of information to drive insights and business decisions.
This enables our tailored training experience. We want to make sure each class is right for you, and that you will get the most value out of completing it.
We've created a simple form below to help you get the process started...
I felt like we hit our stride and were sharing organizational context and prior experiences alongside course concepts in a way that elevated the training. I really enjoyed our discussions.
