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

You’ll also get access to the MyTKA Training Portal, which will be your go to hub for all your training.
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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Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led F# for Data Scientist Training. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.

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Join a scheduled class with a live instructor and other delegates.

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Engage in activities, and communicate with your trainer and peers.

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We handpick from a global pool of expert trainers for our Online Instructor-led courses.

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With 10+ years of quality, instructor-led training, we equip professionals with lasting skills for success.

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Access F# for Data Scientist Training in Cuba delivered by one of the largest training providers, with scalable instructor-led classes, accessible worldwide.

Master F# for Data Scientist Training with a flexible yet structured approach that combines live, expert-led sessions and self-paced study. With weekly one-to-one tutor support and consistently high pass rates, you’ll receive tailored guidance and achieve real results.

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Take part in scheduled, instructor-led sessions with real-time feedback, while enjoying the freedom to study independently. Interactive resources and progress tracking tools help you stay motivated and on target.

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Join dynamic live sessions featuring discussions, practical activities, and peer collaboration. Learn from F# for Data Scientist Training industry experts and reinforce your knowledge with self-paced modules—plus, connect with professionals in your field.

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Access top-quality training across time zones—anytime, anywhere. Whether at home or on the go, our expert-led sessions and flexible study materials support your goals, and help you on the journey towards the certification.

Learn F# for Data Scientist Training through The Knowledge Academy’s Online Self-Paced Learning. This flexible and structured format supports your training goals and enables every professional to build skills with confidence.

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Access F# for Data Scientist Training resources 24/7 to maintain steady progress, complete regular assessments or tasks, and upskill effectively alongside work commitments.

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Access F# for Data Scientist Training in Cuba from a trusted global training provider delivering consistent learning to professionals worldwide.

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Cost-Effective Training

Benefit from the cost-effective F# for Data Scientist Training that delivers high-quality course content without compromising learning outcomes.

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Interactive LMS

Track performance, download resources, and receive AI-enabled support through The Knowledge Academy’s dedicated Learning Management System.

Experience the most sought-after learning style with The Knowledge Academy's F# for Data Scientist Training. Available in 490+ locations across 190+ countries, our hand-picked Classroom venues offer an invaluable human touch. Immerse yourself in a comprehensive, interactive experience with our expert-led F# for Data Scientist Training sessions.

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Boost your skills with our expert trainers, boasting 10+ years of real-world experience, ensuring an engaging and informative training experience

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We only use the highest standard of learning facilities to make sure your experience is as comfortable and distraction-free as possible

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Small class sizes

Our Classroom courses with limited class sizes foster discussions and provide a personalised, interactive learning environment

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Great value for money

Achieve certification without breaking the bank. Find a lower price elsewhere? We'll match it to guarantee you the best value

Streamline large-scale training requirements with The Knowledge Academy’s In-house/Onsite F# for Data Scientist Training at your business premises. Experience expert-led classroom learning from the comfort of your workplace and engage professional development.

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Team building opportunity

Our F# for Data Scientist Training offers a unique chance for your team to bond and engage in discussions, enriching the learning experience beyond traditional classroom settings

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The course know-how will help you track and evaluate your employees' progression and performance with relative ease

Package deals for F# for Data Scientist Training

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.

F# for Data Scientist Training 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 Cuba?

The training fees for F# for Data Scientist Training in Cuba starts from $3295

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

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 Cuba?

Please see our Programming Training courses available in Cuba

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