COVID-19 STATEMENT: While this virus is impacting everyone differently, this online program is continuing as planned.
Please consider joining our global online classroom for an enriching and interactive experience to further your career.




3 Months, Online
4-6 hours per week



info Flexible payment available

Why Enroll for the Practical Data Science course?

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.

Who is this Course for?

Typical students who enroll in this course include:


Your Learning Journey

12 Live Online Teaching Sessions


Real-world Datasets


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.

  • Module 1: Data Science: Exploration and Processes
  • Module 2: Introduction to R
  • Module 3: Data Visualization
  • Module 4: Tidying and Reshaping Data
  • Module 5: Introduction to Statistics and Probabilities
  • Module 6: A/B Testing
  • Module 7: Exploratory Data Analysis (EDA) and Introduction to Models
  • Module 8: Introduction to Linear Regression
  • Module 9: Introduction to Logistic Regression
  • Module 10: Interactive User Interfaces
  • Module 11: Accessing and Versioning Your Data
  • Module 12: Preparing for a Data Science Career

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.


Note: All product and company names are trademarks™ or registered® trademarks of their respective holders. Use of them does not imply any affiliation with or endorsement by them.


Kristen Kehrer
Kristen Kehrer
Instructor at UC Berkeley Extension

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.

Certificate of Completion

Upon successful completion of the course, participants will receive a certificate from UC Berkeley Extension.

apply now

Early applications encouraged. Seats fill up soon!

Flexible payment options available. Click here to know more.