Online or onsite, instructor-led live F# training courses cover various real-world applications for the F# language. Courses cover areas such as software testing, machine learning and reactive programming.
F# training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live F# training can be carried out locally on customer premises in Erfurt or in NobleProg corporate training centers in Erfurt.
Our training facilities are located at Otto-Schwade-Strasse 8 in Erfurt. Our spa...
Overview
Our training facilities are located at Otto-Schwade-Strasse 8 in Erfurt. Our spacious training rooms are located to the east of Erfurt's old town and offer optimal training conditions for your needs.
Directions
The NobleProg training rooms are easy to reach via the A71 motorway and the B7 federal road. If you arrive by train, it is not far to Erfurt main station with its good ICE connections.
Parking spaces
There are parking spaces in the surrounding streets around our training rooms.
Local infrastructure
There are numerous restaurants and hotels in the old town, which can be reached on foot, and as the capital of Thuringia, Erfurt has a lot to offer.
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 Erfurt, 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.
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