COM SCI X 450.1 - Introduction to Data Science
160088
Delivery Options
In-Person
and
Online
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Course Description
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.
Course Outline
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.Notes
Contact:
dt@uclaextension.edu
310-825-7609
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.Applies Towards the Following Certificates
- Applications Programming : Elective Courses
- Business Analysis : Electives
- Data Science : Required Courses
- Data Science with Concentration in Cybersecurity : Required Courses
- Database Management : Electives, Suggested Electives
- Study Abroad at UCLA Program : Required
- Systems Analysis : Electives
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