Introduction to Data Science

COM SCI X 450.1

This course introduces students to the evolving domain of data science and the foodchain of knowledge domains involved in its application. Students learn a range of challenges and questions that data science helps address.

READ MORE ABOUT THIS COURSE
Fall
Winter
Spring
Summer
Online
Remote Instruction
Classroom
Starting at $995.00
As few as 10 weeks
4.0
3.6

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:

This course introduces students to the evolving domain of data science and to the food-chain of knowledge domains involved in its application. Students learn a wide range of challenges, questions, and problems that data science helps address in different domains, including social sciences, finance, health and fitness, and entertainment. The course addresses the key knowledge domains in data science, including data development and management, machine learning and natural language processing, statistical analysis, data visualization, and inference. The course includes case studies that require students to work on real-life data science problems. 
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 2021 Schedule

Date & Time
Details
Format
 
-
This section has no set meeting times.
Available
See Details
Instructor: Ali El-Annan
381677
Fee:
$995.00
Onlineformat icon
Still accepting enrollments
See Details
Notes

Enrollment limited. Enrollment deadline: September 26, 2021. Internet access required. Materials required.

Refund Deadline
No refunds after September 24, 2021
Course Requirements
Internet access required to retrieve course materials.
-
Tuesday 6:00PM - 9:30PM PT
Available
See Details
Instructor: Daniel D. Gutierrez
383455
Fee:
$995.00
Remote Instructionformat icon
Location: Online
Still accepting enrollments
See Details
Notes

Students are required to bring a laptop to class.

Enrollment limited. Enrollment deadline: September 27, 2021. Internet access required. Materials required.

Refund Deadline
No refunds after October 04, 2021
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
Type
Date
Time
Location
Online
Tue Sep 21, 2021
6:00PM PT - 9:30PM PT
Online
Online
Tue Sep 28, 2021
6:00PM PT - 9:30PM PT
Online
Online
Tue Oct 5, 2021
6:00PM PT - 9:30PM PT
Online
Online
Tue Oct 12, 2021
6:00PM PT - 9:30PM PT
Online
Online
Tue Oct 19, 2021
6:00PM PT - 9:30PM PT
Online
Online
Tue Oct 26, 2021
6:00PM PT - 9:30PM PT
Online
Online
Tue Nov 2, 2021
6:00PM PT - 9:30PM PT
Online
Online
Tue Nov 9, 2021
6:00PM PT - 9:30PM PT
Online
Online
Tue Nov 16, 2021
6:00PM PT - 9:30PM PT
Online
Online
Tue Nov 23, 2021
6:00PM PT - 9:30PM PT
Online

Winter 2022 Schedule

Date & Time
Details
Format
 
-
This section has no set meeting times.
Future Offering (Opens November 01, 2021 12:00:00 AM)
See Details
Instructor: Ali El-Annan
383454
Fee:
$995.00
Onlineformat icon
Notes

Enrollment limited. Enrollment deadline: January 9, 2022. Internet access required. Materials required.

Refund Deadline
No refunds after January 07, 2022
Course Requirements
Internet access required to retrieve course materials.
-
Tuesday 6:00PM - 9:30PM PT
Future Offering (Opens November 01, 2021 12:00:00 AM)
See Details
Instructor: Daniel D. Gutierrez
383456
Fee:
$995.00
Classroomformat icon
Location: UCLA Extension Lindbrook Center in Westwood
Notes

Students are required to bring a laptop to class.

Enrollment limited. Enrollment deadline: January 10, 2022. Internet access required. Materials required.

Refund Deadline
No refunds after January 17, 2022
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
Type
Date
Time
Location
Discussion
Tue Jan 4, 2022
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center
Discussion
Tue Jan 11, 2022
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center
Discussion
Tue Jan 18, 2022
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center
Discussion
Tue Jan 25, 2022
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center
Discussion
Tue Feb 1, 2022
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center
Discussion
Tue Feb 8, 2022
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center
Discussion
Tue Feb 15, 2022
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center
Discussion
Tue Feb 22, 2022
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center
Discussion
Tue Mar 1, 2022
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center
Discussion
Tue Mar 8, 2022
6:00PM PT - 9:30PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center

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This course applies towards the following certificates & specializations…

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