Learn how to use common industry reporting and visualization tools such as Excel, Tableau, PowerBi and Shiny. You will also learn how to evaluate strengths and weaknesses of various data representation techniques and the fundamentals of dashboard design for various types of monitoring, analyzing and reporting.
Recognize the difference in purpose between real-time reporting, scheduled reporting and on-demand reporting
Evaluate different strengths and weaknesses of various data representation techniques and demonstrate how these representations assist with decision making
Apply heuristics to ‘report design’ based on need.
Apply BI fundamentals of goals, objectives, measures, metrics, KPIs, performance statistics
Apply judgement to data visualization regarding ethical concerns and practices
Perform the following basic tasks in Excel, PowerBI, Shiny, Tableau and Python:
Import cleaned and compiled data
Perform conditional formatting functions
Present data in usable charts, graphs and tables to enable effective interpretation
Create dashboards and reports to meet specific user needs
It is recommended that students have completed either:
A full course refund will only be provided if you withdraw from the course prior to the course start date. A refund, less a $15 administrative fee, will be issued if you withdraw within 6 calendar days after the official course start date. Depending on your method of payment, a refund will be either mailed to you or credited to your credit card.