T105 – Sports Analytics using Python (starts 11th June)

(5 customer reviews)



  • Individuals who have heard about sports analytics but don’t know how to perform the analysis themselves
  • Individuals who want to learn data analytics and python
  • People who want to scrape data from any website in a CSV format and use it for analytical purpose


  • To determine from data whether MS Dhoni should retire?
  • To determine from data whether winning a toss affects the outcome of a cricket match?
  • Certified Course
  • Live online practical class with assignments and projects
  • Limited batch size
  • Recordings to be provided

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  • Expert Data Scientist
  • Student of IIT Roorkie


11th June (9:00-10:30 PM IST)

⎯ Basics of Python
⎯ How is Sports Analytics used by team?
⎯ A brief overview of the entire course
⎯ Sports Analytics as a career

15th June (9:00-10:30 PM IST)

What is Sports Analytics?
⎯ Definition
⎯ Why Sports Analytics?
⎯ How is it useful for teams


⎯ Libraries to be used
⎯ Data Manipulation using Pandas

18th June (9:00-10:30 PM IST)

Basics of Python
⎯ Basic functions of Pandas
⎯ Data Plotting Libraries

MS Dhoni Career Data to analyse whether Dhoni should retire
⎯ Understanding Raw Data
⎯ Filtering data
⎯ Discussing on features that might be important

22nd June (9:00-10:30 PM IST)

MS Dhoni Career Data to analyse whether Dhoni should retire
⎯ Extracting the features from raw data
⎯ Filling the features in the separate CSV file
⎯ Removing the unnecessary features

⎯ Using the features extracted to plot graphs
⎯ Getting a trend from plots

25th June (9:00-10:30 PM IST)

MS Dhoni Career Data to analyse whether Dhoni should retire
⎯ Logical Explanation to the trends
⎯ Introduction to Web Scrapping

Web Scrapping
⎯ Why web scrapping is useful in data analytics
⎯ Python library for web scrapping
⎯ Basic functions of library which can help in getting required data
⎯ Example

29th June (8:30-10:30 PM IST)

Does winning a Toss actually impact the result of a match?
⎯ Scrapping the required data fields
⎯ Understanding the raw data
⎯ Extracting more features from the raw data
⎯ Combining all fields in a CSV
⎯ Looking for trends in the data
⎯ Logically explaining the trends
⎯ Further analysis which can be done

5 reviews for T105 – Sports Analytics using Python (starts 11th June)

  1. Aditya

    Amazing course outline. Helps in learning Data Analytics, Data Science using Python in a very interesting manner of using sports data. Highly recommend it

  2. Kunal (verified owner)

    The course was very practical oriented. The course also helped to understand the different parameters and how to use analytics in sports.
    The instructor was very knowledgable and very helpful. He also provided various assignments and articles which helped me to learn python in easier way.

  3. Bharani (verified owner)

    For people who are interested in sports and want to learn about analysis this course is highly recommended.

  4. Naman Agarwal (verified owner)

    Nice course. Anyone interested in sports analytics or sports in general would find it very interesting. Everything was taught from scratch. So even if you have no prior knowledge of Python or Data Analysis, it wouldn’t be a problem. Classes were interactive as well.

  5. Radha kishan (verified owner)

    Got a hands on experience on python . Even a clear explanation on how’s sports analytics works in the industry . Great learning of web scraping too .

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Sports Analytics

June 11, 2020, 9:00 pm


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