Data Science

Anyone can learn data science, and no prior knowledge or experience is needed to start learning today. Generally, you should have some computer skills and an interest in gathering, interpreting, and presenting data. Learners with a basic understanding of statistics and coding may be able to skip some of the introductory courses.

Learn more: 7 Skills Every Data Scientist Should Have‎

Embarking on a career in data science can be rewarding, especially for analytical thinkers who enjoy coding and working with data. Data scientists should feel comfortable learning various coding languages, maneuvering data systems and tools to collect and analyze data, and using that data to solve problems. Developing strong communication skills helps because you’ll often work with teams to deliver insights. Data science also provides a solid foundation for machine learning and AI, a popular and growing field. In just a few months, you can learn data science skills that can be applied to many industries.

Learn more: Data Science Jobs Guide: Resources for a Career in Tech ‎

Beginners may want to consider courses and Professional Certificates since they require less time and money to gain the skills you’ll need to land an entry-level position. If you’re hesitant about signing up for a certificate, you can start with What is Data Science? (the first course in IBM’s Data Science Professional Certificate), or a free course like Introduction to Statistics, both of which are suitable for career switchers.

If you don’t have a bachelor’s degree, and want to invest time and money in one, consider the University of London’s Computer Science program to earn your degree completely online. For those already working in data science, the University of Michigan’s Master of Applied Data Science program could help advance your career. ‎