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 $1,095.00
As few as 10 weeks
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 2023 Schedule
October 2
- December 11
This section has no set meeting times.
Wait List
See Details
Notes
Enrollment limited. Enrollment deadline: October 8, 2023. Internet access required. Materials required.
Refund Deadline
No refunds after October 06, 2023
Course Requirements
Internet access required to retrieve course materials.
Data Science Concepts and Techniques with Applications
©2020
Springer
ISBN 9811561354
October 2
- December 11
This section has no set meeting times.
Available
See Details
Notes
Enrollment limited. Enrollment deadline: October 8, 2023. Internet access required. Materials required.
Refund Deadline
No refunds after October 06, 2023
Course Requirements
Internet access required to retrieve course materials.
Data Science Concepts and Techniques with Applications
©2020
Springer
ISBN 9811561354
October 3
- December 5
Tuesday 6:00PM - 9:30PM PT
Wait List
See Details
Notes
Students are required to bring a laptop to class.
Enrollment limited. Enrollment deadline: October 9, 2023. Internet access required. Materials required.
Refund Deadline
No refunds after October 16, 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 Oct 3, 2023
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in WestwoodUCLA Extension Lindbrook Center 215
Discussion
Tue Oct 10, 2023
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in WestwoodUCLA Extension Lindbrook Center 215
Discussion
Tue Oct 17, 2023
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in WestwoodUCLA Extension Lindbrook Center 215
Discussion
Tue Oct 24, 2023
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in WestwoodUCLA Extension Lindbrook Center 215
Discussion
Tue Oct 31, 2023
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in WestwoodUCLA Extension Lindbrook Center 215
Discussion
Tue Nov 7, 2023
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in WestwoodUCLA Extension Lindbrook Center 215
Discussion
Tue Nov 14, 2023
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in WestwoodUCLA Extension Lindbrook Center 215
Discussion
Tue Nov 21, 2023
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in WestwoodUCLA Extension Lindbrook Center 215
Discussion
Tue Nov 28, 2023
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in WestwoodUCLA Extension Lindbrook Center 215
Discussion
Tue Dec 5, 2023
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in WestwoodUCLA Extension Lindbrook Center 215
October 4
- December 6
Wednesday 6:00PM - 9:30PM PT
Available
See Details
Notes
Students are required to bring a laptop to class.
Enrollment limited. Enrollment deadline: October 9, 2023. Internet access required. Materials required.
Refund Deadline
No refunds after October 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
Wed Oct 4, 2023
6:00PM PT - 9:30PM PT
UCLAPhysics & Astronomy Bldg. 2434
Discussion
Wed Oct 11, 2023
6:00PM PT - 9:30PM PT
UCLAPhysics & Astronomy Bldg. 2434
Discussion
Wed Oct 18, 2023
6:00PM PT - 9:30PM PT
UCLAPhysics & Astronomy Bldg. 2434
Discussion
Wed Oct 25, 2023
6:00PM PT - 9:30PM PT
UCLAPhysics & Astronomy Bldg. 2434
Discussion
Wed Nov 1, 2023
6:00PM PT - 9:30PM PT
UCLAPhysics & Astronomy Bldg. 2434
Discussion
Wed Nov 8, 2023
6:00PM PT - 9:30PM PT
UCLAPhysics & Astronomy Bldg. 2434
Discussion
Wed Nov 15, 2023
6:00PM PT - 9:30PM PT
UCLAPhysics & Astronomy Bldg. 2434
Discussion
Wed Nov 22, 2023
6:00PM PT - 9:30PM PT
UCLAPhysics & Astronomy Bldg. 2434
Discussion
Wed Nov 29, 2023
6:00PM PT - 9:30PM PT
UCLAPhysics & Astronomy Bldg. 2434
Discussion
Wed Dec 6, 2023
6:00PM PT - 9:30PM PT
UCLAPhysics & Astronomy Bldg. 2434
Winter 2024 Schedule
January 8
- March 18
This section has no set meeting times.
Future Offering (Opens November 06, 2023 12:00:00 AM)
See Details
Notes
Enrollment limited. Enrollment deadline: January 14, 2024. Internet access required. Materials required.
Refund Deadline
No refunds after January 12, 2024
Course Requirements
Internet access required to retrieve course materials.
Data Science Concepts and Techniques with Applications
©2020
Springer
ISBN 9811561354
January 9
- March 12
Tuesday 6:00PM - 9:30PM PT
Future Offering (Opens November 06, 2023 12:00:00 AM)
See Details
Notes
Students are required to bring a laptop to class.
Enrollment limited. Enrollment deadline: January 15, 2024. Internet access required. Materials required.
Refund Deadline
No refunds after January 22, 2024
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 Jan 9, 2024
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in WestwoodUCLA Extension Lindbrook Center 210
Discussion
Tue Jan 16, 2024
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in WestwoodUCLA Extension Lindbrook Center 210
Discussion
Tue Jan 23, 2024
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in WestwoodUCLA Extension Lindbrook Center 210
Discussion
Tue Jan 30, 2024
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in WestwoodUCLA Extension Lindbrook Center 210
Discussion
Tue Feb 6, 2024
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in WestwoodUCLA Extension Lindbrook Center 210
Discussion
Tue Feb 13, 2024
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in WestwoodUCLA Extension Lindbrook Center 210
Discussion
Tue Feb 20, 2024
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in WestwoodUCLA Extension Lindbrook Center 210
Discussion
Tue Feb 27, 2024
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in WestwoodUCLA Extension Lindbrook Center 210
Discussion
Tue Mar 5, 2024
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in WestwoodUCLA Extension Lindbrook Center 210
Discussion
Tue Mar 12, 2024
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in WestwoodUCLA Extension Lindbrook Center 210