Course information

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 Generalization
  • 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: Organizing 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 in Gurgaon stands out as a top choice among essential Programming Courses and 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

The F# for Data Scientist Training Course in Gurgaon introduces a cutting-edge approach to data science, leveraging the power of the F# programming language. This course offers an in-depth exploration of how F# can be utilized for efficient data analysis and algorithm development. Its relevance is anchored in the increasing demand for sophisticated data processing and analysis techniques in the modern digital landscape.

Understanding the intricacies of F# is crucial for data scientists and analysts in Gurgaon looking to enhance their skill sets. The F# for Data Scientist Training Course is particularly beneficial for professionals engaged in complex data processing, predictive modeling, and algorithm design. Mastery of F# through this Programming Training Course opens doors to advanced data analysis opportunities and is essential for those aiming to stand out in the field of data science.

This 1-day training in Gurgaon offered by the Knowledge Academy equips delegates with practical skills and theoretical knowledge in F#. The course is meticulously designed to provide hands-on experience, ensuring that participants can apply F# effectively in their data science projects. By the end of this Programming Training Course, attendees will be well-versed in utilizing F# for advanced data analysis, setting a strong foundation for their future endeavors in data science.

Course Objectives

  • To introduce the fundamental concepts of F# and its application in data science.
  • To provide hands-on experience with F# for data manipulation and analysis.
  • To enhance skills in predictive modeling and algorithm development using F#.
  • To demonstrate the integration of F# in various data science projects.
  • To prepare participants for advanced challenges in data science using F#.

Upon completion of this F# for Data Scientist Training Course in Gurgaon, participants will have a comprehensive understanding of how F# can be leveraged in data science. They will be equipped with the skills to apply F# in practical scenarios, enhancing their data analysis capabilities and preparing them for complex challenges in their professional careers.

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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

Why choose us

Our Gurgaon 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.

Gurgaon is situated within Haryana in the National Capital Region. As the city is otherwise known by its historical name Guru Gram which means Village of the Guru, it is now home to more than 240 Fortune 500 companies. There is currently around 876,820 people living within Gurgaon, with the English language becoming more and more important within India, most of the schools within Gurgaon are now teaching instruction through Hindu and English. Schools with Gurgaon will be either public or private. Most of the schools are run by the Haryana Board of School Education, Central Board of Secondary Education and the Indian Certificate Secondary Education. English medium schools include the Delhi Public School, Morning Bell School and the Dronacharya Public School. Universities and colleges within Gurgaon include the Ansal Institute of Technology, National Brain Research Centre, KR Mangalam University, ITM University and the Amity University all of which are located within Gurgaon or are commutable to. Not all of the institutions are main campuses but branch or satellite campuses. Depending on the university or college which is chosen there is a range of different degrees such as GCE, A levels, O levels, undergraduate courses and graduate courses, within a number of different subject such as neuroscience, nursing, dental science, engineering, Business, law, technology, languages and many more.

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Address

Asiawebmedia Management
H-13, First Floor
South EXPart 1
New Delhi
110049

T: +91 8037244591

Ways to take this course

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Programming Training | F# For Data Scientist Training in Gurgaon. 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.

Unlock your potential with The Knowledge Academy's Programming Training | F# For Data Scientist Training in Gurgaon, accessible anytime, anywhere on any device. Enjoy 90 days of online course access, extendable upon request, and benefit from the support of our expert trainers. Elevate your skills at your own pace with our Online Self-paced sessions.

Experience the most sought-after learning style with The Knowledge Academy's Programming Training | F# For Data Scientist Training in Gurgaon. 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 Programming Training | F# For Data Scientist Training in Gurgaon sessions.

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

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

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What our customers are saying

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

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.
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.
This F# for Data Scientist Training course is designed for beginners in F#, providing the basic to advanced concepts of the subject.
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#.
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.
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.
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.
The training fees for F# for Data Scientist Training certification in Gurgaon starts from INR64995
The Knowledge Academy is the Leading global training provider for F# for Data Scientist Training.
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Flexible delivery methods are available depending on your learning style.

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Resources are included for a comprehensive learning experience.

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"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"

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