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.
READ MORE ABOUT THIS COURSE
Fall
Winter
Spring
Summer
Starting at $995.00
As few as 10 weeks
What you can learn.
Configure a data science notebook server
Prepare a well-defined problem statement for a new problem
Learn the R programming language
Be introduced to machine learning
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.
Spring 2023 Schedule
April 4
- June 6
This section has no set meeting times.
Wait List
See Details
Notes
Enrollment limited. Enrollment deadline: April 10, 2023. Internet access required. Materials required.
Refund Deadline
No refunds after April 08, 2023
Course Requirements
Internet access required to retrieve course materials.
Data Science Concepts and Techniques with Applications
©2020
Springer
ISBN 9811561354
April 4
- June 6
This section has no set meeting times.
Available
See Details
Notes
Enrollment limited. Enrollment deadline: April 10, 2023. Internet access required. Materials required.
Refund Deadline
No refunds after April 08, 2023
Course Requirements
Internet access required to retrieve course materials.
Data Science Concepts and Techniques with Applications
©2020
Springer
ISBN 9811561354
April 4
- June 6
Tuesday 6:00PM - 9:30PM PT
Available
See Details
Notes
Students are required to bring a laptop to class.
Enrollment limited. Enrollment deadline: April 10, 2023. Internet access required. Materials required.
Refund Deadline
No refunds after April 17, 2023
Course Requirements
Internet access required to retrieve course materials.
Machine Learning and Data Science: An Introduction to Statistical Learning Methods with R
(Optional)
The Art of R Programming: A Tour of Statistical Software Design
Schedule
Discussion
Tue Apr 4, 2023
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in WestwoodUCLA Extension Lindbrook Center 210
Discussion
Tue Apr 11, 2023
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in WestwoodUCLA Extension Lindbrook Center 210
Discussion
Tue Apr 18, 2023
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in WestwoodUCLA Extension Lindbrook Center 210
Discussion
Tue Apr 25, 2023
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in WestwoodUCLA Extension Lindbrook Center 210
Discussion
Tue May 2, 2023
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in WestwoodUCLA Extension Lindbrook Center 210
Discussion
Tue May 9, 2023
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in WestwoodUCLA Extension Lindbrook Center 210
Discussion
Tue May 16, 2023
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in WestwoodUCLA Extension Lindbrook Center 210
Discussion
Tue May 23, 2023
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in WestwoodUCLA Extension Lindbrook Center 210
Discussion
Tue May 30, 2023
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in WestwoodUCLA Extension Lindbrook Center 210
Discussion
Tue Jun 6, 2023
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in WestwoodUCLA Extension Lindbrook Center 210
Summer 2023 Schedule
June 26
- September 4
This section has no set meeting times.
Future Offering (Opens April 24, 2023 12:00:00 AM)
See Details
Notes
Enrollment limited. Enrollment deadline: July 2, 2023. Internet access required. Materials required.
Refund Deadline
No refunds after June 30, 2023
Course Requirements
Internet access required to retrieve course materials.
Data Science Concepts and Techniques with Applications
©2020
Springer
ISBN 9811561354
June 27
- August 29
Tuesday 6:00PM - 9:30PM PT
Future Offering (Opens April 24, 2023 12:00:00 AM)
See Details
Notes
Students are required to bring a laptop to class.
Enrollment limited. Enrollment deadline: July 3, 2023. Internet access required. Materials required.
Refund Deadline
No refunds after July 10, 2023
Course Requirements
Internet access required to retrieve course materials.
Machine Learning and Data Science: An Introduction to Statistical Learning Methods with R
(Optional)
The Art of R Programming: A Tour of Statistical Software Design
Schedule
Discussion
Tue Jun 27, 2023
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in WestwoodUCLA Extension Lindbrook Center 210
Discussion
Tue Jul 4, 2023
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in WestwoodUCLA Extension Lindbrook Center 210
Discussion
Tue Jul 11, 2023
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in WestwoodUCLA Extension Lindbrook Center 210
Discussion
Tue Jul 18, 2023
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in WestwoodUCLA Extension Lindbrook Center 210
Discussion
Tue Jul 25, 2023
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in WestwoodUCLA Extension Lindbrook Center 210
Discussion
Tue Aug 1, 2023
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in WestwoodUCLA Extension Lindbrook Center 210
Discussion
Tue Aug 8, 2023
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in WestwoodUCLA Extension Lindbrook Center 210
Discussion
Tue Aug 15, 2023
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in WestwoodUCLA Extension Lindbrook Center 210
Discussion
Tue Aug 22, 2023
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in WestwoodUCLA Extension Lindbrook Center 210
Discussion
Tue Aug 29, 2023
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in WestwoodUCLA Extension Lindbrook Center 210