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F# for Data Scientist Training Black Friday Offers

F# for Data Scientist Training is part of our Black Friday sale. Lock in 60% off now, choose online, classroom or onsite training, and schedule your course any time through 2027. Group bookings save up to 60%.

FROM £1,195 £2,995 SAVE £1,800

Offer ends 27 November 2026

F# for Data Scientist Training Course Outline

Module 1: Get started with F#

  • Install F#
  • F# in Visual Studio
  • F# in Visual Studio Code
  • F# with the .NET CLI
  • F# in Visual Studio for Mac

Module 2: Literals

  • Literal Types
  • Named Literals
  • Remarks
  • Integers in Other Bases
  • Underscores in Numeric Literals

Module 3: Strings

  • Verbatim Strings
  • Triple Quoted Strings
  • String Indexing and Slicing
  • String Operators
  • String Class
  • Interpolated Strings
  • Syntax
  • Typed Interpolated Strings
  • Verbatim Interpolated Strings
  • Format Specifiers
  • Aligning Expressions in Interpolated Strings
  • Interpolated Strings and FormattableString Formatting

Module 4: let Bindings

  • Function Bindings
  • Type Annotations
  • let Bindings in Classes
  • Type Parameters in let Bindings
  • Attributes on let Bindings
  • Scope and Accessibility of let Bindings
  • do Bindings
  • Fixed Keyword

Module 5: Functions

  • Recursive Functions
  • Inline Functions
  • Function Expressions

Module 6: Loops and Conditional

  • Conditional Expressions: if...then...else
  • for...in Expression
  • for...to Expression
  • while...do Expression

Module 7: Pattern Matching

  • Constant Patterns
  • Identifier Patterns
  • Variable Patterns
  • as Pattern
  • OR Pattern
  • AND Pattern
  • Cons Pattern
  • List Pattern
  • Array Pattern
  • Parenthesised Pattern
  • Tuple Pattern
  • Record Pattern
  • Wildcard Pattern
  • Patterns That Have Type Annotations
  • Type Test Pattern
  • Match Expressions
  • Active Patterns

Module 8: Exception Handling

  • Exception Handling Basics
  • Exception Types
  • Assertions

Module 9: Types and Interference

  • Overview
  • Basic Types
  • Unit Type
  • Type Inference
  • Type Abbreviations
  • Casting and Conversions
  • Generics
  • Automatic Generalisation
  • Constraints
  • Statically Resolved Type Parameters
  • Flexible Types
  • Units of Measure
  • Byrefs

Module 10: Collections

  • Lists
  • Arrays
  • Slices
  • Sequences
  • Reference Cells

Module 11: Records and Union

  • Records
  • Discriminated Unions

Module 12: Object Programming

  • Classes
  • Interfaces
  • Members
  • Constructors
  • let Bindings in Classes
  • do Bindings in Classes
  • Properties
  • Methods
  • Method Parameters
  • Indexed Properties
  • Operator Overloading
  • Explicit Fields
  • Object Expressions
  • Type Extensions
  • Inheritance
  • Abstract Classes

Module 13: Structs

  • Structures
  • Structs Types

Module 14: Computation

  • Computation Expressions
  • Async Expressions
  • Task Expressions
  • Lazy Expressions

Module 15: Organising Codes

  • Struct Types
  • Namespaces
  • Modules
  • Open Declarations
  • Signature Files
  • Access Control
  • XML Documentation
  • Entry Point

Module 16: Queries and Interoperability

  • Queries Types
  • Query Expressions
  • Null Values
  • Nullable Value Types
  • Delegates
  • Enums
  • Events
  • External Functions

Module 17: Reflection

  • External Functions
  • Attributes
  • Code Quotations
  • Nameof
  • Caller Information
  • Source Line, File, and Path Identifiers
  • Plain Text Formatting

Module 18: Type Providers

  • Overview
  • Create a Type Provider
  • Type Provider Security
  • Troubleshooting Type Providers
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Who Should Attend the F# for Data Scientist Training Course?

The F# for Data Scientist Training Course is designed to empower data science professionals with the skills and tools needed to effectively use the F# programming language for data analysis, machine learning, and advanced data manipulation. This course will benefit the following professionals:

  • Data Scientists
  • Data Analysts
  • Machine Learning Engineers
  • Quantitative Analysts
  • Data Engineers
  • Research Scientists
  • Statisticians

Prerequisites of the F# for Data Scientist Training Course

There are no formal prerequisites to attend the F# for Data Scientist Training Course. However, having a basic understanding of Functional Programming, C#, and .NET would be beneficial.

F# for Data Scientist Training Course Overview

F# is a universal programming language for creating code that is condensed, reliable, and effective. You can write clear, self-documenting code with F# that keeps your attention on your problem domain rather than the specifics of programming. Data scientists apply statistical analysis, machine learning, visualisation, and programming to understand and interpret real-world data. This training will help learners develop strategies for processing data and handling large data streams with the F# platform. Holding the knowledge and F# programming skills to design and build applications will enable individuals to get the desired designations as developers and other higher prospects.

In this 2-day F# for Data Scientist Training course, delegates will learn about the various essential concepts of the F# programming language. During this training course, they will thoroughly understand valuable structures for small aggregates of data that are accessed and copied frequently. Delegates will also learn about Pattern matching expressions for complex branching based on comparing a test expression with a set of patterns. This course is led by our highly professional and knowledgeable instructor with years of experience teaching programming language courses.

Course Objectives

  • To simplify handling data from relational databases, web APIs, Azure services, and non-.NET languages
  • To learn how to build efficient, extensible engines to parse and process documents and data streams
  • To perform operations on a list or other collection and avoid the extra work of defining a function
  • To learn about interfaces that specify sets of related members that other classes implement
  • To add new members to a previously described object type using type extensions

At the end of this training course, delegates will be able to use F#'s integrated data science packages and use them to interoperate with other languages and platforms. They will also be able to access and visualise data with the F# programming language.

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What’s included in this F# for Data Scientist Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • F# for Data Scientist Certificate
  • Digital Delegate Pack
Hands-On Labs: Included as part of our online instructor-led delivery, these labs provide real-world exercises in a simulated environment guided by expert instructors to enhance your practical skills.
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Train Your Workforce

Looking for F# for Data Scientist Training in-house or onsite training Birmingham. We specialise in corporate group training and bulk bookings for organisations of all sizes. Our trainers deliver tailored sessions at your premises, online, or hybrid, with best price guarantee, group discounts and flexible scheduling.

Approved supplier to 53,514 organisations

The Knowledge Academy is an approved training supplier to 53,514 organisations across the UK, Europe, North America and Australia, so most buyers can book through their existing purchasing process with no new supplier setup.

Our Birmingham venue

Includes..

Free Wi-Fi

To make sure you’re always connected we offer completely free and easy to access wi-fi.

Air conditioned

To keep you comfortable during your course we offer a fully air conditioned environment.

Full IT support

IT support is on hand to sort out any unforseen issues that may arise.

Video equipment

This location has full video conferencing equipment.

Birmingham is a large city in the West Midlands of England. It is the second largest and second most populous city in the UK behind London. It has an estimated population of nearly 1.2 million people. It is the ninth largest metropolitan area in Europe. The city is a major international commercial centre and an important transport, retail, events and conference hub for England. Education in the UK is a devolved matter, meaning each of the countries that constitute Great Britain each have separate systems operating under separate governments.  For example: the UK government is responsible for England, whilst the Scottish government, Welsh government and the Northern Ireland Executive are in charge of their own country.

Popular searched areas in and around Birmingham include:-

  • Aston
  • Birmingham International Airport
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Birmingham City Council is England's largest local education authority. It is responsible for around 450 schools including nurseries, primary schools, secondary schools and special schools. Most schools are 11-16/18 comprehensive schools while students have the choice of college or sixth form after they have sat their GCSE’s. Bishop Vesey's Grammar School, founded in 1527, is the one of the oldest and perhaps the most prestigious school in the city. Birmingham is a densely populated city for universities with five in the city. These universities are: Aston University, University of Birmingham, Birmingham City University, University College Birmingham and Newman University. There also campuses for the university of law, the BPP University and the Open University West Midlands. There are an estimated 79,000 full time students in the Birmingham area. This is more than any city outside of London in the UK. The University of Birmingham is a highly respected university and is ranked inside the top 100 universities in the world and is a top 15 university in the UK. The motto of this university is “persuasive, persistent and bold.” They claim to encourage and empower to turn their ideas into a reality in order to make things happen. The university has a tradition of innovative research and is always striving to push the boundaries. The Knowledge Academy, we offer over 50,000 classroom based training courses in the UK, including popular locations such as Birmingham.

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Ways to take F# for Data Scientist Training in Birmingham

Live Online

The same live course from home, with a live instructor and other delegates. Mirrors the classroom schedule.

Best for: starting soon, without travel.

2 days · next Thu 19 Nov 2026

See live online dates

Online Self-Paced

Study 24/7 on your own schedule through our learning platform, with progress tracking.

Best for: fitting study around work.

90 days of access

See self-paced options

Onsite

We bring the course to your team, at your premises, online or hybrid, on dates that suit you.

Best for: groups and bulk bookings.

Tailored to your team

Get a team quote

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Package deals for F# for Data Scientist Training in Birmingham

Our training experts have compiled a range of course packages on a variety of categories in F# for Data Scientist Training, to boost your career. The packages consist of the best possible qualifications with F# for Data Scientist Training, and allows you to purchase multiple courses at a discounted rate.

Programming Training | F# For Data Scientist Training in Birmingham FAQs

What is F#?

F# is a general-purpose programming language for creating condensed, reliable, and effective code. This technique helps you to write clean and self-documenting code that keeps your attention on your problem domain rather than the specifics of programming.

What are the pre-requisites?

There are no formal prerequisites to attend this F# for Data Scientist Training course. However, having a basic understanding of Functional Programming, C#, and .Net would be beneficial.

Who should attend this course?

This F# for Data Scientist Training course is designed for beginners in F#, providing the basic to advanced concepts of the subject.

What are the features of F#?

F# provides type inference, provides rich pattern-matching constructs, interactive scripting and debugging capabilities, allows writing higher-order functions, and provides a well-developed object model. These are the features of F#.

What are the benefits of F#?

There are several benefits of using F#, like interactive, interoperability, ease of asynchronous programming, integration with compiler and debugger support, suitability for writing domain-specific languages and compilers, improved performance, scalability, and reduced maintenance cost, and language extensibility.

What is a variable?

A variable is a storage area that our programmes can access. The type of that variable determines the size and organisation of a variable's memory.

What will I learn in this F# for Data Scientist Training course?

In this F# for Data Scientist Training course, you will learn about queries and interoperability, access control, troubleshooting type providers, code quotations, computation expressions, operator overloading, caller information, and many other exciting topics.

What is the cost/training fees for F# for Data Scientist Training in Birmingham?

The training fees for F# for Data Scientist Training in Birmingham starts from £2995

Which is the best training institute/provider of F# for Data Scientist Training in Birmingham?

The Knowledge Academy is one of the Leading global training provider for F# for Data Scientist Training.

What are the best Programming Training courses in Birmingham?

Please see our Programming Training courses available in Birmingham

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