Data Science has enabled teams across sports to enhance their performance and strategize effectively against different teams.
Join us for a live hands-on session on Applications of Data Science in the Sports Industry with Nitin Sethi (Senior Advisor at Rio Tinto, India) for an interactive introduction to data science applications to analyze sports performance.
During the workshop, you will work on a live case study with Nitin during a complete interactive power-packed session introducing you to the most prevalent fraud detection techniques.
A limited number of seats are available for this workshop. Secure your spot today.
Agenda for the session
- How has data science changed the sports industry
- How can you improve sports performance with data science models
- Learn about the PGP Data Science and Business Analytics program
- Live Q&A session with our expert, Nitin
About Speakers
Nitin Sethi
Senior Advisor, Rio Tinto, India
Nitin Sethi is a data science and analytics professional with more than 15 years of experience in building advanced analytical models with Python and SPSS. Currently working as a Senior Advisor at Rio Tinto, Nitin has extensive experience with using analytics and data science to solve problems across various industries.
Post-Graduate Program in Data Science & Business Analytics
Data science and business analytics are among the most popular emerging domains and sought-after career options. According to a report by LinkedIn, Data Science dominates its emerging job ranking with a whopping 37% hiring growth over the past three years.
Worldwide, industries are adapting to data science at an unprecedented rate, with 56% of business leaders using data science in some capacity in 2022. (Statista.com)
The Post Graduate Program in Data Science and Business Analytics by the McCombs School of Business at the University of Texas at Austin prepares you for a high-growth career in these domains.
This 6-month program is a comprehensive deep-dive into the world of data science, starting with the basics of data management and Python, followed by advanced classification, regression, and clustering techniques. Working under the guidance of industry experts and the leading faculty from the McCombs School of Business, you will gain hands-on experience with the most relevant business problems in the industry today.
