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 2024 Schedule

September 24 - December 3

Tuesday 6:00PM - 9:30PM PT

Future Offering (Opens July 29, 2024 12:00:00 AM)

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Instructor: Daniel D. Gutierrez

399616

Fee:

$1,095.00

In Person

Location: UCLA Extension Lindbrook Center in Westwood

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Notes

Students are required to bring a laptop to class.

Enrollment limited. Enrollment deadline: October 7, 2024. Internet access required. Materials required.

Refund Deadline

No refunds after September 28, 2024

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 24, 2024

6:00PM PT - 9:30PM PT