Data Science and Analytics FAQ

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  Will the Data Science & Analytics Course get me a job?

The Data Science & Analytics Course will HELP you get a job. Data science, artificial intelligence, and machine learning are the "hot" skills to have. Adding the certification you will earn in this course, plus being mentored by Ari Kaplan to your resume, will put you at the top of the interview list. Hard work, perseverance in addition to what you learn and who you meet thru the course will get you the job.

 What jobs in sports use R, Python, and SQL?

All sports, all leagues, all teams are using R, Python, and SQL. Having these skills helps get a job in sports, both on the business analytics side (ticket pricing, marketing, sales) and the front office "Moneyball” opportunities including scouting, player development, analytics, salary capology, and more.

  Will this course help me beyond sports?

Beyond sports, taking the Data Science & Analytics Course will better position you for a career in virtually every industry, from financial to insurance, healthcare, government, and more. Whether you want a job in sports or you are looking to gain exposure to the hot data science skills companies in every industry are looking for, this course is for you.

 What are the prerequisites to taking Data Science & Analytics Course?

No prerequisites needed! Learn by having world-renowned Ari Kaplan show you how to use the most sought after skills, (R, Python, SQL) and the hot trends (machine learning modeling, visualization, DataRobot, Orange, visual analysis, and more)! All skill levels are welcome!

 What is Sports Analytics?

Sports analytics is a collection of relevant, historical, statistics that when properly applied can provide a competitive advantage to teams and individual athletes. Analytics is now used in every sport. At SMWW we offer 6 different analytic courses including Football Analytics, Baseball Analytics, Hockey Analytics, Soccer Analytics, Basketball Analytics and Data Science Analytics. Visit for more information.

 Should I take the Data Science & Analytics Course or one of the sport specific analytic courses?

Take both! We offer five sport specific analytics courses in Hockey, Soccer, Baseball, Football, and Basketball in addition to Data Science & Analytics Course. The sport specific courses focus on how analytics is used throughout all roles in an organization, from the GM to the scouts, and include a high-level overview of data management and visualization, collecting data and utilizing vendors. The Data Science and Analytics Course is a perfect compliment to the sports specific courses, providing a deeper, more technical look at the cutting edge skills desired across all sports. The focus of Data Science & Analytics Course is R, SQL, Python, data science how-to, and visualizations of data for all sports. Baseball Analytics, is specific to baseball.

 I am interested in ______, will Data Science & Analytics be applicable to that?

Yes! Fill in the blank with Motorsports, Tennis, Rugby, Cricket, Tennis, Pickleball, you name it! Literally, any sport you can think of, Ari Kaplan will be able to utilize the data from that sport. Ari is hired by a consultant all over the globe and will give you real world examples to help you within your chosen sport. From the USTA to IndyCar, every sport business uses analytics to win. The data analytic tools you learn in this course will improve decision making at every level.

 I am a coach, will Data Science & Analytics Course help me?

If you want to beat your competition...YES! Analytics are used by coaches everyday in every sport.

 What is sports data science and analytics?

Data science and analytics in sports is essentially the gathering of relevant data, both current and historical, for the purpose of predictive analysis and increasing on-field performance. The practice has been around for longer than most people think, but has most recently caught onto the mainstream in the last ten years. If you haven’t seen the movie “Moneyball”, go check it out to familiarize yourself with the ideas behind sports analytics.

 What is the purpose of sports analytics?

The purpose of analytics in sports is to help teams gain a competitive advantage over another team by looking at data for their own team as well as the opponent to make strategic decisions. Teams who practice this at a very high level can yield very high results and lead their teams to victories and even championships.

 What sports use analytics?

Nearly all major sports use analytics in some fashion to help their team! In the United States the NFL, NBA, MLB, MLS, NHL, WNBA, NWSL, and the majority of colleges and universities use sports analytics help their teams. Sports analytics got its most popular start in Major League Baseball and has since grown across sports and level of competition. All professional sports teams in the US employ at least one Sports Data Analyst in their Front Office, if not an entire team of them! Internationally, sports analytics is seen in major soccer (football) leagues like the English Premier League, La Liga (Spain), Bundesliga (Germany), Ligue 1 (France), Liga MX (Mexico), and many more.

 How do you become a sports data analyst?

There are a number of ways you can get started in your pursuit of becoming a sports data analyst! The practice is very math based so many people have an undergraduate degree in either mathematics or statistics or other math based degrees. Data science and analytics also requires the knowledge of programming languages such as R, SQL, and Python. The Sports Data Science and Analytics course offers you a chance to learn all three of those programs and much more from the pioneer of sports analytics, Ari Kaplan.

 Is a Sports Analyst a good career path?

Absolutely! The sports data analyst position and job role is one that is consistently listed as a top job posting on sites like “Glassdoor” and the skills that are required for the position are highly transferable. Working your way into an analytics department for a professional sports team is a very rewarding experience and can set you up for success either within that team, that sport, or in the general field of data science and analytics.

 What skills are needed to become a sports analyst?

First and foremost, you’ll want to have programming experience. Specifically, R, SQL, and Python are three major tools used in sports analytics. The job requires you to gather large quantities of data, compress it, analyze it, and create reports based on your findings. Depending on your position you may be working directly with coaches, front officer personnel, or players. The ability to communicate your findings is critical to the success of your position. A great data analyst for a sports team will have all of those skills and go above and beyond to try and find new data points, put together unfounded strategies, and always strive to make the team better.

 Do you have more questions?

Call the office and ask! 1-877-SMWW-Now in the US or Canada. In London at +44(0) 871 288 4799 Everywhere else at +1-503-445-7105