F# For Data Scientist Training - United States

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

Who Should Attend the F# for Data Scientist Training Course?

The F# for Data Scientist Training Course in the United States 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 the United States 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 the United States 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 the United States 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 the United States, 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.

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.