This track teaches the foundation for predictive analytics. Participants will learn data analysis techniques--including statistics, modeling, and machine learning--to analyze patterns found in historical data. Analyzing this data will help you gain better insights, identify potential risks, seek out improvement opportunities, and make predictions about the future. Analytical principles will be presented through real-world examples and exercises.
This course is appropriate for individuals at any organization who wish to leverage the power of predictive analytics to solve problems. The course is popular among business analysts, members of a problem-solving team, those leading operational excellence activities, marketing analysts, and practitioners preparing to implement predictive analytics in their organization.
Training Track
- Fundamentals of Analytics
- Regression Modeling and Forecasting
- Machine Learning
- Advanced Machine Learning
- Workshop
DAY 1
In this foundational course, you will learn to minimize the time required for data analysis by using Minitab to import data, develop sound statistical approaches to exploring data, create and interpret compelling visualizations, and export results. Automate your Minitab analysis with minimal user input to save time. Analyze a variety of real-world data sets to learn how to align your applications with the right analytics tool and interpret the statistical output. Learn the fundamentals of important statistical concepts such as hypothesis testing and confidence intervals.
This course places a strong emphasis on making sound decisions based upon the practical application of statistical techniques commonly used in business, manufacturing, and transactional processes.
Topics Include:
- Importing and Formatting Data
- Exec Macros
- Bar Charts
- Histograms
- Boxplots
- Pareto Charts
- Scatterplots
- Measures of Location and Variation
- t-Tests
- Test for Equal Variance
- Power and Sample Size
Pre-requisites: None
