Data Analytics Introduction
- 3 Sections
- 10 Lessons
- 4 Quizzes
- 12h Duration
Section 01 -- Introduction to Analytics
Section 02 -- Understanding Datasets
Section 03 -- Predictive Analytics
Business decisions require the basic skills of analyzing data to understand the problem more completely and to produce better answers. The business environment uses various tools and techniques to accomplish this analysis. This course is designed to introduce students to those tools and techniques and how they can be automated with Microsoft Excel.
The Liberal Education and America’s Promise goal for this course is LEAP Goal 2, to develop intellectual and practical skills throughout the curriculum, as well as LEAP Goal 4, Integrative.
The following is a list of the topics that will be covered:
• Introduction to Data Analytics
• Excel Skills
• Data Visualization
• Probability
• Regression
• Time series analysis.
Course Textbook:
Business Analytics 3rd Edition by Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann, David R. Anderson. Course materials adapted to IDBS Data Analytics 101.