Data science is more than just collecting and analyzing data. Yes, it is important to learn programming languages like Python and engage in competitive problem-solving with your peers via Kaggle, but there are other skills you need
to have the data science career you want. You need three major skill sets to excel in data science
. An understanding of math that is both broad and deep is essential, as most analytics are mathematically based. Technical skills, such as coding and hacking, are necessary for breaking problems down so that they can be resolved. Finally, both mathematical and technical skills are not useful unless you can explain the data gleaned from them to others. Therefore, basic business presentation skills are a vital part of success in a career in data science. A successful data scientist must be able to glean data from various sources, analyze it properly and craft a story around the outcome that presents the data in a rich, engaging way to decision makers. To advance your career, work on fine-tuning these three skills in particular.