Forecasting and Predictive Analytics Certificate

The Forecasting and Predictive Analytics Certificate will teach you fundamental techniques used for predictive analytics: regression, classification, clustering, optimization and simulation. Beginning with basic models for revealing and establishing relationships, you will learn to apply increasingly sophisticated modeling techniques for practical data analysis, as well as commonly encountered problems so you can determine the fit and usefulness for prediction of your models and apply them to typical business problems.

As you develop your understanding of applied predictive analytics, you'll learn how to perform basic forecasting using time-based data to predict future values from a model. You will also learn how to model and calculate scenarios based on distance and space. You will get practice with classification, including naive Bayesian classification; create basic decision trees; use various techniques for clustering and linear optimization to solve common business problems; and learn techniques for assessing the effectiveness of your solutions.

Topics Discussed

• Predictive analytics techniques
• Forecasting with data models
• Finding relationships in data
• Bivariate and multivariate linear regression
• KNN classification
• Clustering
• Decision trees
• Training models

Learning Objectives

• Identify the different techniques of predictive analytics: regression, classification, clustering, optimization and simulation.
• Calculate varying types of regressions using R and Excel.
• Apply classification and clustering algorithms.
• Apply business process optimization to problems by identifying goals and constraints.
• Analyze the various probabilities of outcomes by applying Monte Carlo simulation.
• Calculate performance of predictive analytic algorithms.

Who Will It Benefit?

Accounting and finance professionals, especially those interested in learning and applying data analysis techniques to help their businesses make informed, data-driven business decisions

Details

• Field of Study: Statistics
• Level: Intermediate
• CPE Credit: 15