Fundamentals of Mathematics and Statistics

Time: 10:30 - 17:30
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Spoken language: English

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An introduction to R, and a broad coverage of mathematics for Data Science and Machine Learning: algebra, linear algebra, calculus, probability and statistics.

This 3-day course is designed for anyone who's going to make a career working in data. It is practical in nature and will take you through the most common mathematical statistical models that you're going to need to thrive as a data scientist or data analyst.

Whether you work with Excel, SQL, Hadoop, or any other data solution, you're going to be able to understand a model more effectively with mathematics. You'll learn to improve existing statistical models and start developing the right skills to ask more advanced questions.

Target Audience

Aimed at fledging data scientists who wish to have a proper understanding of the underlining mathematics and algorithms behind Machine Learning and data analytics.


At the end of this course attendees will know:

  • Fundamentals of algebra, linear algebra, calculus which are needed for understanding data science and machine learning techniques
  • Probability and statistics essential for data analytics

At the end of this course attendees will be able to:

  • Apply mathematics and statistical analysis using R
  • Explore data with R
  • Perform statistical inference and extract insight from data


  • R: Intro
  • R: Data
  • R: Containers
  • R: Higher Dimensions
  • Introduction to Mathematics
  • Mathematics: Probability
  • Mathematics: Statistics
  • Mathematics: Advanced
  • Data Science and Exploration in R


  • GCSE mathematics or above
  • An interest in mathematical and logical thinking
  • No prior experience of R is assumed, although prior experience will be an advantage


Places left:
No participant limit
2780,00  + VAT