Introduction to Data Science

COM SCI X 450.1

This course covers the key knowledge domains in data science, including data development and management, machine learning and natural language processing, statistical analysis, data visualization, and inference.

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What you can learn.

Understand the role of a data scientist
Apply big data management and visualization techniques
Practice programing in Python and R
Get insights on natural language processing
Explore data modeling and algorithm development

About this course:

Get an introduction to the foundational concepts and techniques behind data science and its applications. Students will learn about programming languages including Python and R, and receive a primer on natural language processing, big data management and visualization techniques. The course will conclude with an overview of data modeling and machine learning algorithm development.

Prerequisites

Students are expected to have basic Python programming and basic statistics skills. If you do not have these skills, we suggest taking COM SCI X 450.00 Data Science Fundamentals before taking COM SCI X 450.1 Introduction to Data Science.

Fall 2025 Schedule

September 23 - November 25

Tuesday 6:00PM - 9:30PM PT

Available

See Details

Instructor: Daniel D. Gutierrez

405183

Fee:

$1,095.00

In Person

Location: UCLA Extension Lindbrook Center in Westwood

Updating...

See Details

Notes

Enrollment limited; early enrollment advised. Visitors not permitted.

Enrollment deadline: September 28th, 2025

Refund Deadline

Refunds only available from September 02, 2025 to October 05, 2025

Course Requirements

Internet access required to retrieve course materials.

Machine Learning and Data Science: An Introduction to Statistical Learning Methods with R

ISBN 1634620968

(Optional) The Art of R Programming: A Tour of Statistical Software Design

ISBN 9781593273842

Schedule

Type

Date

Time

Location

Discussion

Tue Sep 23, 2025

6:00PM PT - 9:30PM PT

UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 215

Discussion

Tue Sep 30, 2025

6:00PM PT - 9:30PM PT

UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 215

Discussion

Tue Oct 7, 2025

6:00PM PT - 9:30PM PT

UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 215

Discussion

Tue Oct 14, 2025

6:00PM PT - 9:30PM PT

UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 215

Discussion

Tue Oct 21, 2025

6:00PM PT - 9:30PM PT

UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 215

Discussion

Tue Oct 28, 2025

6:00PM PT - 9:30PM PT

UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 215

Discussion

Tue Nov 4, 2025

6:00PM PT - 9:30PM PT

UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 215

Discussion

Tue Nov 11, 2025

6:00PM PT - 9:30PM PT

UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 215

Discussion

Tue Nov 18, 2025

6:00PM PT - 9:30PM PT

UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 215

Discussion

Tue Nov 25, 2025

6:00PM PT - 9:30PM PT

UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 215

September 22 - December 1

This section has no set meeting times.

Available

See Details

Instructor: Ali El-Annan

403733

Fee:

$1,095.00

Online

Updating...

See Details

Notes

Enrollment limited; early enrollment advised. Enrollment deadline: September 28th, 2025

Refund Deadline

Refunds only available from September 02, 2025 to October 05, 2025

Course Requirements

Internet access required to retrieve course materials.

Data Science Concepts and Techniques with Applications

ISBN 978-3031174414

Winter 2026 Schedule

January 6 - March 10

Tuesday 6:00PM - 9:30PM PT

Future Offering (Opens November 03, 2025 12:00:00 AM)

See Details

Instructor: Daniel D. Gutierrez

405851

Fee:

$1,095.00

In Person

Location: UCLA Extension Lindbrook Center in Westwood

Updating...

See Details

Notes

Enrollment limited; early enrollment advised. Visitors not permitted.

Enrollment deadline: January 11th, 2026.

Refund Deadline

Refunds only available from November 03, 2025 to January 18, 2026

Course Requirements

Internet access required to retrieve course materials.

Machine Learning and Data Science: An Introduction to Statistical Learning Methods with R

ISBN 1634620968

(Optional) The Art of R Programming: A Tour of Statistical Software Design

ISBN 9781593273842

Schedule

Type

Date

Time

Location

Discussion

Tue Jan 6, 2026

6:00PM PT - 9:30PM PT