In this course, students will learn how to put data into a chart, graph, or other visual format that helps inform analysis and interpretation using Excel, Tableau, R Studio, and PowerBI.
At the end of the course, student will know:
1. How to select appropriate visualization options based on the type of analysis being conducted.
2. How to effectively communicate data analytics results using visualizations that facilitate insight for business owners.
3. How to interpret and report analysis results to various stakeholders.
Consider 3-hour lecture per week, and 4-6 hours per week on quizzes and ongoing real-world projects for homework.
for those considering a professional career in Data Analytics field