Analytic Solver Academy - with Self-Paced Courses

Capabilities

• Learn predictive and prescriptive analytics
• Leverage your Excel modeling skills
• Learn to build effective Excel Solver models
• See how to reduce costs through Optimization
• Model and control risks through Simulation
• Easily use machine learning for Data Mining

How it works

SOLVER ACADEMY

Learn Predictive and Prescriptive Analytics from the Experts For business analysts, learning to build effective predictive and prescriptive analytics models can be a bit intimidating. You're likely comfortable with numbers and Excel formulas, but you might not have used methods from probability, statistics, and linear algebra since college courses long ago.  You're in the right place to learn -- we specialize in teaching people like you! You'll get access to the course for the lifetime of your software license.

• OPT101: Optimization Using Analytic Solver (6 weeks)
• SIM101: Simulation and Risk Analysis Using Analytic Solver (6 weeks)
• DM101: Data Mining Using Analytic Solver - Part I (6 weeks)
• DM201: Data Mining Using Analytic Solver - Part II (6 weeks)

OPTIMIZATION 101

Course objective Gain a comprehensive overview of optimization and its applications using Frontline Solvers software. The information provided in this course will provide the necessary foundations if you are planning to use optimization to address business problems using Solver software. Learning outcomes

• You will be able to model an optimization problem.
• You will be able to evaluate the results and use sensitivity analysis.
• You will be able to use advanced features such as parametric optimization to study various scenarios.
• You will be able to explain the structure of your model.
• You will be able to use optimization in uncertain situations.

SIMULATION 101

Course objective Gain a comprehensive overview of simulation and its applications using Frontline Solvers software. The information provided in this course will provide the necessary foundations if you are planning to use optimization to address business problems using Solver software. Learning outcomes

• You will be able to model a simulation problem.
• You will be able to evaluate the results and use sensitivity analysis.
• You will be able to use advanced features such as parametric simulation to study various scenarios.
• You will be able to use decision trees and their sensitivity analyses.
• You will be able to use optimization in uncertain situations using
• simulation optimization, chance constraints and recourse decisions.

DATA MINING 101

Course objective Gain a comprehensive overview of data mining and its applications using Frontline Solver's Analytic Solver Data Mining software. The information provided in this course will provide the necessary foundations if you are planning to use data mining to address business problems using Solver software. Learning outcomes

• You will learn learn the steps required in a typical data mining process.
• You will learn how to explore and prepare their data for a typical data mining process.
• You will learn to properly sample your data and perform a clustering analysis.
• You will learn how to use supervised methods to create a classification model.
• You will learn how to use supervised methods to create a regression model.
• You will learn to use ensemble methods to create both a classification and regression model.

DATA MINING 201

Course objective Gain a a deeper understanding of data mining and its applications using Frontline Solver's Analytic Solver Data Mining software. The information provided in this course will provide the necessary foundations if you plan to use data mining to address business problems using Solver software. Learning outcomes

• You will learn how to create a model using Association Rules analysis.
• You will learn how to create classification models using neural networks, ensemble methods and discriminant analysis.
• You will learn how to create a regression model using neural networks and ensemble methods.
• You will learn to make forecasts using time series (ARIMA and exponential smoothing) techniques.
• You will learn to use latent semantic indexing to create a text mining model.
• You will learn learn how to call our Data Mining APIs through C#, Java, and Python to complete data mining tasks.