3 Months, Online
4-6 hours per week
Data science is expanding rapidly, transforming jobs and entire industries as it grows. Getting into this fast-paced and continuously evolving field starts by learning the core concepts of data science through the R programming language.
The Practical Data Science course from UC Berkeley Extension is designed to give new and aspiring practitioners a broad, practical introduction to the data science process and its fundamental concepts, with lessons and examples illustrated through R programming. As a participant, you’ll gain a high-level understanding of data science and build a solid foundation you can use as a stepping stone to programming and modeling courses.
Typical students who enroll in this course include:
Live sessions are usually conducted at 11 am EDT (8 am PST) on Tuesdays.
If you are unable to attend the live sessions, a recording of the session would be made available on the EMERITUS Learning Management System.
PREREQUISITES: The course requires an understanding of introductory statistics.
Assignments interspersed throughout the Practical Data Science course allow you to learn using real-world datasets.
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Kristen is #8 LinkedIn Global Top Voice 2018 – Data Science & Analytics. Since 2010, Kristen has been a data scientist across multiple industries, including the utilities, healthcare and eCommerce. She finished a BS in Mathematics in 2004 and a Master's Degree in Applied Statistics. Prior to attaining her Master’s Degree, she was a high school math teacher and has always enjoyed tutoring, coaching and mentoring.
Upon successful completion of the course, participants will receive a certificate from UC Berkeley Extension.