Data Science
Perform Career Analysis of a Renowned Football Player
Football is more than a sport, it's a religion. Analyse the career of one of the torchbearers of the epic sport!
Certified by
Role
Data Analyst
Industry
Media & Communication
No. of Subscribers
40
Level
Basic
Time Commitment
60
Duration
60 days
Tools you’ll learn
Here’s What You Work On
About the Company
Sport news is eagerly awaited and devoured by fans. With so many platforms, followers of any sport look for accurate, reliable and fast platforms that convey the news as soon as it happens. Sportskeeda is one such trusted website! Established in 2009, Sportskeeda is a global sports content platform that covers the world's biggest sports and esports subjects and serves over 80 Million fans every month.Their top journalists cover sports events across the world and produce well researched content.
Explore
the following work techniques
Python libraries
Data Visualization
EDA
Bridging the gap
If you are a sports enthusiast, you must be familiar with the thrill of watching matches. But the fanaticism does not end there. Fans hold long discussions on blow by blow analysis of a match or a player’s performance. Don’t you track the performance of your favourite player? What were some of their best and worst years? Analysing historical data provides crucial insights into what have been the patterns in a players career and what can we expect from them in the future.
Apply
the following skills
Analytical Skills
Insight Generation
Expected output
In this menternship you will create a detailed career analysis of any chosen football player.
Create
the following deliverables
A report on the global trends in Football matches
A detailed Career Analysis of any chosen Player.
What you’ll need before starting
Basic Python/R Knowledge
