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.