The roles of a sports data analyst involve collecting and analyzing sports data, then updating individual players, coaches, or team managers who use this data to make informed decisions during or before sports competitions. These roles can be classified into two categories.
What degree is best for sports analytics?
A master of science in sports administration or sports management with a concentration in sports analytics would be viable options. Other possible graduate degrees that could be considered include a Master of Science in Data Science or Data Analytics.
What is a career of a sport analyst?
What is a Sport Analyst? A Sport Performance Analyst monitors and records sporting performances for a team/ organisation. Further they liaise with coaches and athletes in training and competitive environments in order to ensure improvements in their performance.
Is sports analytics hard?
You can't really make a "bad" choice between R and Python, but if I had to make a recommendation, I'd put it like this: R is better suited for analysis. It's easier to play around with data and build visualizations. If you see yourself as more of an analyst than a programmer, start with R.