What Skills Should Data Scientists Have?
Data Scientists should have strong analytical and communication skills. They must be proficient in SQL, Python, and R; file management; machine learning and algorithms; natural language processing; linear algebra; calculus; statistics; and probability. Most jobs will also require proficiency in data modeling and visualization tools such as Tableau. Data Scientists will need to be team players, good at pattern recognition, detail-oriented, and passionate problem solvers.
It is essential for Data Scientists to refine their soft skills. These skills will depend on the employment environment. Some Data Scientists work for large organizations, where they must communicate their findings to upper-level management and C-level positions. Others work with doctors and writers to create reports, some work for startups and communicate directly with a team of founders, while others find themselves communicating directly with a small group of clients. These communications will essentially involve educating the person(s) receiving the analyzed data.
Learn the Skills You Need to Become a Data Scientist
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Data Science
Data science combines domain knowledge, programming skills, mathematics, and statistics to infer crucial insights from data. These insights can be used by businesses, governments, and any other data-collecting entities to inform decisions.
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Python
Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. It is used to write scripts, automations, algorithms, manipulate data, and create frameworks. Python prioritizes simplicity, easy to learn syntax, readability, and versatility.
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SQL
SQL stands for Structured Query Language. It is a computer language used to store, manipulate, and retrieve data which is stored in a relational database.
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Machine Learning
Machine learning is the use and study of computer algorithms that improve automatically through experience. It is a subset of artificial intelligence (AI). Machine learning is used in everything from email filtering to Netflix recommendations.
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FinTech
FinTech stands for Financial Technology. FinTech is the technology or computer programs that are used to support, improve, enable, and automate banking and financial services.
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Mathematics
Mathematics are used on a day-to-day basis by many technical positions. Subjects like linear algebra, calculus, statistics, and probability are used by Data Scientists, Cybersecurity professionals, Developers, Motion Graphics Designers, Engineers, and more.