Introduction to Data Science
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.
Typically Available
Fall
Winter
Spring
Summer
Duration
As few as 2 weeks
Units
4.0
Current Formats
Online
In Person
Cost
Starting at $1,095.00
Get More Info
What you can learn.
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.
Winter 2026 Schedule
Date
Details
Format
-
Tuesday 6:00PM - 9:30PM PT
In Person
UCLA Extension Lindbrook Center in Westwood
Notes
Enrollment limited; early enrollment advised. Visitors not permitted.
Enrollment deadline: January 11th, 2026.
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
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 208
UCLA Extension Lindbrook Center 208
Discussion
Tue Jan 13, 2026
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 208
UCLA Extension Lindbrook Center 208
Discussion
Tue Jan 20, 2026
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 208
UCLA Extension Lindbrook Center 208
Discussion
Tue Jan 27, 2026
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 208
UCLA Extension Lindbrook Center 208
Discussion
Tue Feb 3, 2026
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 208
UCLA Extension Lindbrook Center 208
Discussion
Tue Feb 10, 2026
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 208
UCLA Extension Lindbrook Center 208
Discussion
Tue Feb 17, 2026
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 208
UCLA Extension Lindbrook Center 208
Discussion
Tue Feb 24, 2026
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 208
UCLA Extension Lindbrook Center 208
Discussion
Tue Mar 3, 2026
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 208
UCLA Extension Lindbrook Center 208
Discussion
Tue Mar 10, 2026
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 208
UCLA Extension Lindbrook Center 208
-
Monday, Tuesday, Wednesday, Thursday, Friday 9:00AM - 12:00PM PT
REG#
408025
Fee:
$1,100.00
In Person
UCLA Extension Lindbrook Center in Westwood
Notes
Enrollment limited; early enrollment advised. Visitors not permitted.
Enrollment deadline: April 5th, 2026.
Deadline
Refunds only available from February 02, 2026 to April 12, 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
Mon Feb 2, 2026
9:00AM PT - 12:00PM PT
UCLA Extension Lindbrook Center in Westwood
Discussion
Tue Feb 3, 2026
9:00AM PT - 12:00PM PT
UCLA Extension Lindbrook Center in Westwood
Discussion
Wed Feb 4, 2026
9:00AM PT - 12:00PM PT
UCLA Extension Lindbrook Center in Westwood
Discussion
Thu Feb 5, 2026
9:00AM PT - 12:00PM PT
UCLA Extension Lindbrook Center in Westwood
Discussion
Fri Feb 6, 2026
9:00AM PT - 12:00PM PT
UCLA Extension Lindbrook Center in Westwood
Discussion
Mon Feb 9, 2026
9:00AM PT - 12:00PM PT
UCLA Extension Lindbrook Center in Westwood
Discussion
Tue Feb 10, 2026
9:00AM PT - 12:00PM PT
UCLA Extension Lindbrook Center in Westwood
Discussion
Wed Feb 11, 2026
9:00AM PT - 12:00PM PT
UCLA Extension Lindbrook Center in Westwood
Discussion
Thu Feb 12, 2026
9:00AM PT - 12:00PM PT
UCLA Extension Lindbrook Center in Westwood
Discussion
Fri Feb 13, 2026
9:00AM PT - 12:00PM PT
UCLA Extension Lindbrook Center in Westwood
-
This section has no set meeting times.
Online
Notes
Enrollment limited; early enrollment advised. Enrollment deadline: January 11th, 2026.
Deadline
Refunds only available from November 03, 2025 to January 18, 2026
Course Requirements
Internet access required to retrieve course materials.
Data Science Concepts and Techniques with Applications
©2023
Springer
ISBN 978-3031174414
Spring 2026 Schedule
Date
Details
Format
-
Tuesday 6:00PM - 9:30PM PT
In Person
UCLA Extension Lindbrook Center in Westwood
Notes
Enrollment limited; early enrollment advised. Visitors not permitted.
Enrollment deadline: April 5th, 2026.
Deadline
Refunds only available from February 02, 2026 to April 12, 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 Mar 31, 2026
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 208
UCLA Extension Lindbrook Center 208
Discussion
Tue Apr 7, 2026
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 208
UCLA Extension Lindbrook Center 208
Discussion
Tue Apr 14, 2026
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 208
UCLA Extension Lindbrook Center 208
Discussion
Tue Apr 21, 2026
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 208
UCLA Extension Lindbrook Center 208
Discussion
Tue Apr 28, 2026
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 208
UCLA Extension Lindbrook Center 208
Discussion
Tue May 5, 2026
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 208
UCLA Extension Lindbrook Center 208
Discussion
Tue May 12, 2026
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 208
UCLA Extension Lindbrook Center 208
Discussion
Tue May 19, 2026
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 208
UCLA Extension Lindbrook Center 208
Discussion
Tue May 26, 2026
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 208
UCLA Extension Lindbrook Center 208
Discussion
Tue Jun 2, 2026
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 208
UCLA Extension Lindbrook Center 208
-
This section has no set meeting times.
Online
Notes
Enrollment limited; early enrollment advised. Enrollment deadline: April 5th, 2026.
Deadline
Refunds only available from February 02, 2026 to April 12, 2026
Course Requirements
Internet access required to retrieve course materials.
Data Science Concepts and Techniques with Applications
©2023
Springer
ISBN 978-3031174414
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