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F# for Data Scientist Training Overview
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
Why choose us
Ways to take this course
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.
Unlock your potential with The Knowledge Academy's F# for Data Scientist Training, 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 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.
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 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
What our customers are saying
F# for Data Scientist Training 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 Belgium starts from €2095
The Knowledge Academy is the Leading global training provider for F# for Data Scientist Training.
Please see our Programming Training courses available in Belgium
Why choose us
Best price in the industry
You won't find better value in the marketplace. If you do find a lower price, we will beat it.
Many delivery methods
Flexible delivery methods are available depending on your learning style.
High quality resources
Resources are included for a comprehensive learning experience.
"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"
Joshua Davies, Thames Water
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