20SI-C018: Forecasting and Predictive Analytics (Certificate Program)

Valid for one year from purchase date
Self-study - On-Demand
15 CPE (15 technical)

Explore the fundamental techniques used for predictive analytics, including regression, classification, clustering, optimization and simulation. Beginning with basic models for revealing and establishing relationships, learn to apply increasingly sophisticated modeling techniques for practical data analysis. Learn about commonly encountered problems so you can determine the fit and usefulness for prediction of your models, and then apply them to typical business problems.

Learn how to perform basic forecasting using time-based data to predict future values from a model, and find out how to model and calculate scenarios based on distance and space. Get practice with classification, including naive Bayesian classification. Learn to create basic decision trees and use various techniques for clustering and linear optimization to solve common business problems. Plus, learn methods for assessing the effectiveness of your solutions.

Major subjects

• Predictive analytics techniques
• Forecasting with data models
• Finding relationships in data
• Bivariate and multivariate linear regression
• K-nearest neighbors (KNN) classification
• Clustering
• Decision trees
• Training models

Learning objective(s)

• 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 should take this program?

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

Fees

Standard Member Fee	$699.00
Standard Nonmember Fee	$879.00