DAYS 2, 3, 4
In Foundations of Data Analytics, participants learn how to categorize data and data sets, provide probabilities for events and use decision trees with probabilities to choose courses of action, describe a data set using descriptive statistics, construct exploratory visualizations to identify patterns and analyze time-series data, explore large data sets through pivot tables, measure the degree of correlation between two variables, use multiple linear regression for prediction, and express forecasts using ranges and report results of data analytics efforts.
The Data Analytics portion of the program features several demonstrations, 16 hands-on exercises, examples, and formal discussions. Participants gain in-depth practice using a variety of real-world data sets.
Participant materials include a learning assessment comprised of twenty-six multiple choice questions.
Participants work in groups to complete a comprehensive analysis of a sales data set, planning their analysis effort and communicating their results.
Using a real-world financial data set provided or a data set from their work environment, each participant prepares a 5-minute presentation, which includes up to three slides and a narrative memo that explains their conclusions. The presentation will be used on Day 5.