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 Washington D.C. 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 Washington D.C. 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 Washington D.C. 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 Washington D.C. 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 Washington D.C., 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 Washington D.C. 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.

Washington D.C is the capital of the United States and is a federal district. Washington has around 660,000 inhabitants living in the area.

Washington D.C is the home to a variety of universities such as the American University which is a private research university. The university is affiliated with the United Methodist Church. The university was established in 1893 and was approved by former President Benjamin Harrison. The university enrols around 13,000 students a year who are either undergraduate or graduate students. Students at American University have backgrounds of more than 150 nationalities. The American University is also very well known for its study abroad programs in which students can participate in a number of programs around the world.

The George Washington University is another university located in Washington D.C. The university is a private research university and is the largest institution in the District of Columbia. The George Washington University was established in 1821. The university currently has around 25,300 students in attendance with the majority of those studying postgraduate degrees. Some of the courses available at the George Washington University include; Arts, Science, Business, International Affairs, Public Health, Professional Studies, Engineering, Applied Sciences, Nursing and Medicine, Politics and Law.

Another university located in Washington D.C is the Gallaudet University which is a private university for deaf and hard of hearing students. The university has around 2,000 students in attendance. Gallaudet was established in 1864 and was originally a grammar school for deaf and blind children until it became the university. Gallaudet is famous for being the only university that primarily teaches classes specifically accommodated to deaf and hard of hearing students. The university is bilingual using American Sign Language (ASL) and English.

Georgetown University is a private research university in Washington and was established in 1789 making it the oldest catholic and Jesuit institute in the United States. There are around 18,000 students who attend the university each year and study a variety of degrees. Some notable alumni from Georgetown University include eight former heads of state, Bill Clinton, Bradley Cooper and a variety of others. 

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Address

AdvantEdge Business Centres,

5335 Wisconsin Avenue,

Suite 650,

Washington D.C

United States

T: +1 7204454674

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 Washington D.C.. 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 Washington D.C., 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.

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 Washington D.C. 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 Washington D.C. starts from $2295
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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