Julia Training Course - Data Science / Analysis

Learn to extract and display information from your data

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Customise this course for your team

We can tailor your syllabus to take into account your group's current skills, technology stack, and specific learning goals - as part of a wider training programme or as a standalone workshop.

Enquire now to find out about our cost-effective options:

Contact us about group training

Julia Training Course - Data Science / Analysis

"Well-paced and clear demonstrations provided. Definitely a plus that it's using our environment for the session."

Elasticsearch Training Course with Kibana
TY, App Support Analyst
Glencore

Julia Training Course - Data Science / Analysis

" It was very good. In particular the separated chat rooms used for some of the exercises worked very well. "

Data Science with Python Training Course
JHO, Data Analyst [Remote online course]
ActiveViam

Julia Training Course - Data Science / Analysis

" Course was very relevant, and all the basic topics were covered. Good pace. "

Data Science with Python Training Course
MFA, Data Analyst [Remote online course]
ActiveViam

Julia Training Course - Data Science / Analysis

" The Jupyter notebooks were really handy, and I liked the group work using the breakout room feature of Zoom. Although the participants were from different backgrounds, Marco handled this very well by constantly checking if anyone has questions, adding explanations and making sure that the pace is right for the group. "

Data Science with Python Training Course
FSK, Data Analyst [Remote online course]
ActiveViam

Julia Training Course - Data Science / Analysis

"Mixture of lecture and tutorial content. "Learn by doing""

Data Science with Python Training Course
JD, Data Scientist
Winton Capital

About the course:

Our Julia training course course will give you a great introduction to creating statistical analysis solutions using Julia (JuliaLang), from the basics of programming and syntax, organising your code, through to hypothesis testing and simple visualisation / plotting.

Julia is a high-level dynamic programming language that was created specifically for high-performance data analysis - it's also a general purpose language and can be put to use client/server apps, real time systems, and several uses such as Machine Learning, Natural Language Processing, Geospatial data processing...You name it!

Julia includes a type system with parametric polymorphism and also aims to tackle concurrency and parallel computing problems. You can call other libraries written in a variety of languages without needing additional modules (although there are plenty of those available in the wild).

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Public Courses Dates and Rates

Standard duration: 4 Days

Please get in touch for pricing and availability.

Interested in this course?

If you want to explore how you can tailor this course for your organisation, want to sign up for our newsletter, or have any other questions then please speak to us on 020 3137 3920 or get in touch using this form.

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