Data Science is a rapidly growing field in the sports industry in India. Professionals use data analytics and machine learning techniques to analyze players and team performance, develop game strategies, and enhance fan engagement in all major sports including modern form of cricket. As the importance of data-driven decision-making continues to grow in cricket, so does the demand for skilled data scientists.
Big sports companies like Sportz Interactive, Dream Sports and cricket boards like BCCI offer attractive salaries to data scientists who possess the necessary qualifications, technical skills, and industry experience to succeed in this field. With a passion for numbers and an interest in cricket, here’s how a career in data science can unlock incredible opportunities and help you achieve big in this exciting field.
Data science certification training in sports
In India, several prestigious colleges and universities offer Data Science programs in sports, available at both graduate and undergraduate levels. These programs typically run for 2 to 3 years, aimed at providing in-depth and advanced studies.
However, if you’re looking to pursue this field in a shorter period of time, online short courses can be an excellent option. Not only do they provide the flexibility to learn at your own pace from anywhere, but they also require less time commitment compared to in-person courses, which may not be as easily accessible.
Some reputed institutes including 360DigiTMG, Great Learning, Simplilearn, Jigsaw Academy and UpGrad are amongst top rated institutes that offer 4 to 12 months long comprehensive courses to students to become successful data scientists in sports.
For example, 360DigiTMG offers a 4 month long data science course in Bangalore providing students the opportunity to master advanced statistical and machine learning techniques for analyzing and managing data. This knowledge can then be applied in sports like cricket, where you can learn how to utilize data to understand player performances, team strategies, match results, and fan engagement.
Data Science Course Prerequisites
Apart from your love and passion for the sport, there are basic skills and technical requirements needed to successfully complete a data science course in sports. To enroll in a data science course, you may need to have some basic knowledge of statistics, programming, and database concepts. Some courses may also require previous experience with programming languages like Python or R, along with familiarity with machine learning algorithms and techniques.
Data Science Course Fee & Duration
Online data science courses are generally budget-friendly than in-person courses. For instance, certification and online diploma courses in data science, which typically run for 4 to 12 months, range from INR 50,000 to INR 1,50,000. In contrast, a 2-year post-graduate program can cost INR 2,00,000 on average, and a 3-year undergraduate program costs INR 1,50,000 on average. Additionally, online courses can save money on expenses such as commuting and accommodation, making them a more affordable option for many learners.
Top Sports companies you can work after completion
The use of data science and analytics has become increasingly popular in major sports tech companies in India in recent years, with many organizations hiring data scientists to help them gain insights and make data-driven decisions.
Here are some major sports board and leagues in India that hire data science graduates on regular basis:
Board of Control for Cricket in India (BCCI)
BCCI has been actively using data science and analytics to gain insights into player performance and game strategy, and they have hired data science graduates in the past.
Sportz Interactive
This sport tech company specializes in cricket analytics, using data science to provide insights and predictions for the sport. They provide data-driven solutions for sports leagues, teams, and brands.
Dream Sports
Dream Sports is the parent company of popular sports app Dream11, they leverage data science to improve their user experience.
Indian Premier League (IPL)
IPL is a T20 franchise cricket league and many of its teams have been using data science and analytics to gain insights into player performance, match strategy, and fan engagement.
Pro Kabaddi League (PKL) and Indian Super League (ISL)
Both ISL and PKL are professional leagues in India and many of the teams have been using data science and analytics to gain insights into player performance and game strategy.
Popular Job Roles & Salary in Data Science
| Job Role | Description | Average Salary (INR) |
|---|---|---|
| Cricket Analyst | Analyze player and team performance, provide insights, and make data-driven recommendations to improve strategies. | 6-7 lacs per annum |
| Sports Data Journalist | Analyze and report on sports data, trends, and statistics, providing insights and engaging content for sports fans. | 3-4 lacs per annum |
| Scouting Analyst | Use data science to identify new talent and assess player potential for recruitment to teams. | 4-5 lacs per annum |
| Performance Analyst | Analyze and monitor individual and team performances using data science to identify areas for improvement. | 5-6 lacs per annum |
| Data Scientist | Use data science to develop predictive models, analyze data, and provide insights to improve player performance, team strategy, and fan engagement. | 8-9 lacs per annum |
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