F# Training in Austin

Data science is the application of statistical analysis, machine learning, data visualization and programming for the purpose of understanding and interpreting real-world data. F# is a well suited programming language for data science as it combines efficient execution, REPL-scripting, powerful libraries and scalable data integration. In this instructor-led, live training, participants will learn how to use F# to solve a series of real-world data science problems. By the end of this training, participants will be able to:

• Use F#'s integrated data science packages
• Use F# to interoperate with other languages and platforms, including Excel, R, Matlab, and Python
• Use the Deedle package to solve time series problems
• Carry out advanced analysis with minimal lines of production-quality code
• Understand how functional programming is a natural fit for scientific and big data computations
• Access and visualize data with F#
• Apply F# for machine learning

Explore solutions for problems in domains such as business intelligence and social gaming Audience

• Developers
• Data scientists

Format of the course

• Part lecture, part discussion, exercises and heavy hands-on practice

In this instructor-led, live training in Austin, participants will learn functional programming as they step through the creation of a series of sample applications and utilities. By the end of this training, participants will be able to:

• Understand the principles of functional programming.
• Write elegant, maintainable code for solving complex computing problems.
• Use F# with Javascript and C# to create asynchronous web applications.