An Athlete’s Guide To Data Science

Introducing the Big World of Big Data For Athletes
Free tutorial
Rating: 3.0 out of 5 (28 ratings)
2,025 students
1hr 1min of on-demand video
English
English [Auto]

The basics of data science in sport
An Introduction to Data Science (Beginners Level)

Requirements

  • Understand basic mathematics

Description

An entry-level course that teaches the fundamental practice and models of data science. If you find data science daunting, look no further. Our course uses a gamification style form of education that makes complex topics accessible and fun.

In this course, you will learn the basics of statistics related to data science. This will then be followed by on field data tutorials and off field data tutorials. This section consists of topics such as CRM analytics, performance analysis, databases and machine learning. We'll then discuss data mining, data visualizations and regression models, which is a little bit more complex. To finish, we'll go through the different types of data analysts, so that you can choose which areas to further your study.

Data science is enormous, which is why it can often see, intimidating. Follow this course and understand exactly what areas excite and interest you enough to be motivated to further your study in what is one of the most important hard skills of the future.

Who this course is for:

  • Beginners curious about data science
  • Performance analysts
  • Sports Data Scientists
  • Football analysts

Instructor

Online Teacher
Jon pierre Jones
  • 3.0 Instructor Rating
  • 28 Reviews
  • 2,025 Students
  • 1 Course

I am a postgraduate of the University of Loughborough (MsC) that has an interest in teaching academic hard skills using a gamification form of education. With technology and data advancing at such a rapid rate, I believe education should adapt alongside the evolutions.

My aim for these courses is to teach hard skills such as data science and CRM analytics in a way that anyone with an interest can understand and be introduced to its fundamentals. This is because I aim to present complex models and formulas into an easy-to-understand and fun way.

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