Developers: Learn Advanced Analytics, Work with Business Analysts

Use forecasting, data mining and text mining models in your application

Transform data, train and evaluate models, score new cases in C++, C#, Java, Python or R.

Learn Predictive and Prescriptive Analytics from the Experts

For developers, learning to build effective data science (predictive) and management science (prescriptive) models can involve some work. You're likely comfortable with numbers, 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!

Register for an online course at Solver.Academy: New courses start each month.

• 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)

About the RASON® Language and REST API

RASON is a mini-language you can use to quickly and easily create and solve analytic models -- optimization, simulation/risk analysis, forecasting, data mining and text mining models, and more. You can use RASON tools on Windows and Linux desktops and servers, but the RASON service is especially useful if you are building Web or mobile applications, and you’re familiar with RESTful web services.

RASON stands for Restful Analytic Solver® Object Notation. As a "lingua franca" easily understood by both business analysts and developers, it offers many benefits compared to using a traditional modeling language, using Excel to create analytic models, or writing analytic models in a programming language. See RASON example models.

Solver SDK supports RASON models, but you can also create them independently and solve them using Frontline's REST API service -- sign up for a free account at Rason.com.

RASON Models vs. Alternatives

How do RASON™ models compare to alternative ways of building analytic applications?

• Compared to a modeling language such as AMPL or GAMS for optimization, or ARENA for simulation, RASON models have similar expressive power, and are easy to understand. But as you’ll see below, it is much easier to use a RASON model in a Web, mobile or server application.
• Compared to Excel as a modeling language, RASON models can use essentially all of Excel’s operators and built-in functions, but it is much easier to build “dimensionally flexible” RASON models, and to use a RASON model in a Web, mobile or server application.
• Compared to writing a model in programming language code, RASON models are “higher level” – much easier to create, modify and understand. But as you’ll see below, RASON models are so easy to manipulate in code that you don’t give up any flexibility.

Create analytic models once, easily deploy them wherever they're needed. Express your model in Excel, in RASON (most flexible!), or in C++, C#, Java, R or Python code. Analytic Solver empowers you to use and re-use your models, in Excel for Windows, Macintosh, and the Web, in Tableau and Power BI, in Power Apps and Power Automate, or your own application on a server, web page or mobile device. RASON models -- understood by both business analysts and developers -- are especially easy to maintain.