Launch this Learning Path to accelerate your analytics education journey with the Minitab Education Hub.
Up to 78% of data goes unused within an organization. Bring more science to your decisions by extracting predictive insights from your data. Everyone in an organization is empowered when they can find and share actionable insights to make data driven decisions. This learning path expands your analytics skillset by analyzing patterns found in historical data to gain better insights, identify potential risks, seek out improvement opportunities, and make predictions about the future. You will explore supervised machine learning techniques for discovering relationships for both continuous and categorical key performance indicators. Specifically, discover the fundamentals of important visualization and statistical concepts such as scatterplots, correlation, regression, binary logistic regression, CART® classification, CART® regression, Random Forests® Classification, and TreeNet® Regression. All learning is presented using animated lessons, quizzes, and hands-on exercises to help you easily learn statistics and how to use Minitab Statistical Software.
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