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predicting sports outcomes
Are you interested in learning more about how to become a data scientist? Then make sure to check out my webinar: what it's like to be a data scientist.


I am very happy to announce that I have released a new course on Experfy! The course covers sports prediction and betting using machine learning. I am attaching the course description below. Contact me if you are interested in a discount!

Course description: Predicting sports outcomes

The purpose of this course is to teach about how to use Python and machine learning in order to predict sports outcomes. It takes you through through all the steps, from collecting data using a web crawler to making profitable bets based on your predicted results.

The course is built around predicting tennis games, but the things taught can be extended to any sport, including team sports.

The course includes:

1) Intro to Python and Pandas.

2) Instructions on how to build a crawler in Python for the purpose of getting stats.

3) Data wrangling.

4) Using machine learning for sports predictions.

5) Discussion on advanced topics, like extension to team sports and using social media, such as Twitter, for additional information.

This course is geared towards people that have some interest in data science and some experience in Python. It does not require extensive coding experience, since all the scripts are provided. No prior experience in data science is required, even though it could be helpful. All the basic concepts are explained within the course.

You can read more about my other courses here. I am also offering an introductory course in data science using Weka, Python and R, as well as mentoring seervices in data science remotely or in person. Finally, I am also running the Tesseract Academy, which provides education in deep technical topics for non-technical decision makers and managers, including AI and blockchain.


If you are interested to know more about how data science can be used in your business, make sure to check out my book The Decision Maker's Handbook to Data Science. Also, make sure to check out my courses, as well as my webinars:
  1. What it's like to be a data scientist 
  2. The importance of data strategy

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