Introduction to Julia for Data Science

Introduction to Julia for Data Science

Public courses

£1400

- Anyone can join the training
- Course outline as presented on the website
- Small groups, 3-10 people

Private courses

Price set individually

- Training workshop just for your team
- You choose date and location of the training
- Course outline tailored to your needs

About the training

The Julia programming language and environment were created quite recently(2009). They are free from a number of disadvantages that other solutions established for single-processor and low memory machines have. The training is intended for those who seek the in-depth exploration of data. Even the basics of Julia language enable you to develop your skills on your own thanks to a rich documentation. The high efficiency of this environment makes the work with a huge set of data a creative and pleasant task.

Who is this training for?

Data Scientists, programmers, data analysts, engineers.

What will I learn?

  • Programming, creating scripts in Julia environment
  • Manipulate large data sets for Data Science
  • Importing, wrangling and transforming data to appropriate format for Data Science
  • Parallelizing computations
  • Writing efficient and scalable programs

Course outline

  1. Introduction to data analysis
    • Statistical description and distribution
    • Variance, interpretation and practical importance
    • Relationship between variables
  2. Introduction to Julia environment
    • Packages instalation
    • Data import/export
    • Transformations and data wrangling
    • Conditional execution, loops, functions
    • Statistical analysis of single variable
    • Multivariate statistical analysis
    • Variance analysis and Principal Component Analysis
  3. Julia vs other Data Science languages

Course Curriculum

Curriculum is empty

Instructors


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