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Technologies / Data & Analytics

F# in Data Science

The training presents the possibilities of using F# in Data Science projects. The program focuses on the functional approach to data analysis, combining theory with intensive practical workshops. Participants learn advanced data processing, machine learning, and visualization techniques using the F# ecosystem. The training places special emphasis on practical application of functional programming in solving real analytical problems.

Required Participant Preparation

  • Basic programming knowledge

  • Statistics fundamentals

  • Understanding of data analysis concepts

  • Experience in .NET environment

Benefits

  • Practical knowledge of F# in Data Science context
  • Ability to implement analytical solutions
  • Knowledge of functional approach to data analysis
  • Ability to create efficient ML algorithms
  • Skills in working with large datasets
  • Familiarity with F# ecosystem for Data Science
  • Practical experience in creating ML models

Who is this training for?

.NET developers interested in data analysis
Data Scientists looking for alternatives to Python and R
Data analysts wanting to expand their toolkit
F# developers wanting to specialize in Data Science
Machine Learning specialists
Data engineers working in .NET environments
Analytical solution architects

Training program

01

Introduction to the functional paradigm

  • Data types and structures in F#
  • Working with collections
  • Data stream processing
  • Data analysis and processing
  • Data analysis libraries
  • Transformations and filtering
  • Aggregations and grouping
02

Parallel processing

  • Machine learning in F#
  • Classification and regression algorithms
  • Dimensionality reduction
03

Model validation

  • ML model deployment
  • Visualization and reporting
  • Visualization libraries
  • Interactive visualizations
04

Report generation

  • BI tool integration

Delivery Methods

Online

  • Convenience of participating from anywhere
  • Interactive live sessions with trainer
  • Materials available for 30 days
  • No travel costs

On-site

  • Direct contact with trainer and group
  • Intensive hands-on workshops
  • Networking with other participants
  • Full focus on learning

Frequently asked questions

What are the prerequisites for this training?

The F# in Data Science training does not require specialized prior knowledge. Basic IT knowledge is sufficient.

What is the format and duration of this training?

The training lasts 3 days and is available in online and on-site format. Sessions run from 9:00 AM to 4:00 PM. We can also customize the schedule to fit your team's needs.

Who is this training designed for?

This training is designed for: .NET developers interested in data analysis; Data Scientists looking for alternatives to Python and R; Data analysts wanting to expand their toolkit.

Klaudia Janecka
Klaudia Janecka Opiekun szkolenia

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Funding Options

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Up to 80%

Development Services Database

Up to 80% funding for SMEs from EU funds

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Up to 100%

National Training Fund

Up to 100% funding for employers

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We train teams at Poland's largest companies

ING Bank - EITT client
mBank - EITT client
PKO Bank Polski - EITT client
PZU - EITT client
Allianz - EITT client
T-Mobile - EITT client
KGHM - EITT client
PGE - EITT client
IKEA - EITT client
InPost - EITT client
Leroy Merlin - EITT client
ZUS - EITT client

Interested in this training?

Contact us - we'll prepare an offer tailored to your organization's needs.

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