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F# for Data Scientist Training

Geneva

F# for Data Scientist Training in Geneva introduces F# from setup, literals, strings, bindings, and functions to loops, pattern matching, and exception handling. Learners gain experience with types, collections, records, object programming, computation expressions, queries, reflection, and type providers for data-focused development.

Learn about computation expressions for encoding context-sensitive computations.
Understanding events to associate function calls with user actions in GUI programming.
Become familiar with the discriminated unions that are useful for heterogeneous data.

Dates & Prices

F# for Data Scientist Training Overview

Course syllabus

Who it’s for

What’s included

FAQs

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

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.

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.

Train Your Workforce

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

Our Geneva 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.

Geneva is the second most populous city in Switzerland. Geneva is the most populous city in Romandy which is the French speaking part of Switzerland. Geneva is also the capital city of the Republic and Canton of Geneva. The population of the city is around 197,376. Geneva is a financial city and worldwide centre for diplomacy and houses the United Nations. The University of Geneva is a public research facility which was established in 1559. The university is the second largest university in Switzerland with around 15,000 students. Students can study a variety of courses such as; economics, management, sciences, medicine, arts, law, theology, education, psychology, translation, interpretation and social sciences.

Ways to take F# for Data Scientist Training in Geneva

Online Instructor-Led Learning

Online Self-Paced Learning

Classroom Based Learning

Onsite Learning

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.

Live classes

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

Interactive

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

Global Pool of the Best Trainers

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

Expertise

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

Scalable Training Delivery

Access F# for Data Scientist Training in Geneva 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.

Structured Yet Flexible Learning

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.

Engaging & Interactive Training

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.

Expert-Led Course

Gain valuable insight from experienced trainers during live sessions, and revisit course materials anytime to deepen your understanding. This method offers the ideal balance between expert guidance and independent learning.

Global Training Accessibility

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.

Flexible Learning

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

Expert-Developed Content

Our Online Course content is designed by experienced trainers to ensure accuracy, relevance, and practical value.

Global Training Provider

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

Cost-Effective Training

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

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 Course. 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.

Highly experienced trainers

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

State of the art training venues

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

Small class sizes

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

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 Course at your business premises. Experience expert-led classroom learning from the comfort of your workplace and engage professional development.

Tailored learning experience

Leverage benefits offered from a certification that fits your unique business or project needs

Maximise your training budget

Cut unnecessary costs and focus your entire budget on what really matters, the training.

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

Monitor employees progress

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

F# for Data Scientist Training Schedule in Geneva

Online Instructor-Led

Online Self-Paced

Classroom

Onsite

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.

Programming Training | F# For Data Scientist Training in Geneva 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 Geneva?

The training fees for F# for Data Scientist Training in Geneva starts from CHF3195

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

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 Geneva?

Please see our Programming Training courses available in Geneva

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