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Data Science Fundamentals

COM SCI X 450.00

Designed for students with limited programming, statistics, or data analytics knowledge, this data science overview course is ideal for beginners, business analysts, or non-tech managers interested in the field.

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READ MORE ABOUT THIS COURSE
Fall
Winter
Spring
Summer
In Person
Online
Starting at $1,095.00
As few as 11 weeks
4.0
View Course Options

What you can learn.

  • Understand the principles of statistics, programming, and algorithms used in data science
  • Apply statistical methods to solve basic data analysis problems
  • Get and introduction to statistical analysis tools, such as Excel
  • Practice data analysis using Microsoft Excel and Python programming language

About this course:

In this this hands-on, exercise-driven course, students will learn the role of data science in decision-making, basic statistics, entry-level Python programming and data analysis, using tools such as Excel and Python. Designed for beginners, business analysts and non-technical managers, the curriculum includes problem-solving exercises using pencils, paper and laptops for assignments during and outside of the class.
Prerequisites

There are no pre-requisites, however, we recommend taking COM SCI X 414.20 Fundamentals of Software Development and Programming before enrolling in Data Science Fundamentals.

Fall 2024 Schedule

Date & Time
Details
Format
 
-
Tuesday 6:00PM - 9:00PM PT
Available
See Details
Instructor: Stefan Lin
399610
Fee:
$1,095.00
In Personformat icon
Location: UCLA
Updating...
See Details
Notes

Enrollment limited; early enrollment advised. Visitors not permitted.

Enrollment deadline: October 7th, 2024

Refund Deadline
No refunds after October 07, 2024
Course Requirements
Internet access required to retrieve course materials.
Schedule
Type
Date
Time
Location
Lecture
Tue Sep 24, 2024
6:00PM PT - 9:00PM PT
UCLA
School of Public Affairs Bldg. 2250
Lecture
Tue Oct 1, 2024
6:00PM PT - 9:00PM PT
UCLA
School of Public Affairs Bldg. 2250
Lecture
Tue Oct 8, 2024
6:00PM PT - 9:00PM PT
UCLA
School of Public Affairs Bldg. 2250
Lecture
Tue Oct 15, 2024
6:00PM PT - 9:00PM PT
UCLA
School of Public Affairs Bldg. 2250
Lecture
Tue Oct 22, 2024
6:00PM PT - 9:00PM PT
UCLA
School of Public Affairs Bldg. 2250
Lecture
Tue Oct 29, 2024
6:00PM PT - 9:00PM PT
UCLA
School of Public Affairs Bldg. 2250
Lecture
Tue Nov 5, 2024
6:00PM PT - 9:00PM PT
UCLA
School of Public Affairs Bldg. 2250
Lecture
Tue Nov 12, 2024
6:00PM PT - 9:00PM PT
UCLA
School of Public Affairs Bldg. 2250
Lecture
Tue Nov 19, 2024
6:00PM PT - 9:00PM PT
UCLA
School of Public Affairs Bldg. 2250
Lecture
Tue Nov 26, 2024
6:00PM PT - 9:00PM PT
UCLA
School of Public Affairs Bldg. 2250
Lecture
Tue Dec 3, 2024
6:00PM PT - 9:00PM PT
UCLA
School of Public Affairs Bldg. 2250
-
This section has no set meeting times.
Available
See Details
Instructor: Alfonso Berumen
399612
Fee:
$1,095.00
Onlineformat icon
Updating...
See Details
Notes

Enrollment limited; early enrollment advised. Enrollment deadline: October 7th, 2024

Refund Deadline
No refunds after September 27, 2024
Course Requirements
Internet access required to retrieve course materials.
-
This section has no set meeting times.
Wait List
See Details
Instructor: Robert Atkinson
400110
Fee:
$1,095.00
Onlineformat icon
Updating...
See Details
Notes

Enrollment limited; early enrollment advised. Enrollment deadline: October 7th, 2024

Refund Deadline
No refunds after September 27, 2024
Course Requirements
Internet access required to retrieve course materials.

Winter 2025 Schedule

Date & Time
Details
Format
 
-
Tuesday 6:00PM - 9:00PM PT
Future Offering (Opens November 04, 2024 12:00:00 AM)
See Details
Instructor: Stefan Lin
400705
Fee:
$1,095.00
In Personformat icon
Location: UCLA
Updating...
See Details
Notes

Enrollment limited; early enrollment advised. Visitors not permitted.

Enrollment deadline: January 20th, 2025

Refund Deadline
No refunds after January 20, 2025
Course Requirements
Internet access required to retrieve course materials.
Schedule
Type
Date
Time
Location
Lecture
Tue Jan 7, 2025
6:00PM PT - 9:00PM PT
UCLA
School of Public Affairs Bldg. 2250
Lecture
Tue Jan 14, 2025
6:00PM PT - 9:00PM PT
UCLA
School of Public Affairs Bldg. 2250
Lecture
Tue Jan 21, 2025
6:00PM PT - 9:00PM PT
UCLA
School of Public Affairs Bldg. 2250
Lecture
Tue Jan 28, 2025
6:00PM PT - 9:00PM PT
UCLA
School of Public Affairs Bldg. 2250
Lecture
Tue Feb 4, 2025
6:00PM PT - 9:00PM PT
UCLA
School of Public Affairs Bldg. 2250
Lecture
Tue Feb 11, 2025
6:00PM PT - 9:00PM PT
UCLA
School of Public Affairs Bldg. 2250
Lecture
Tue Feb 18, 2025
6:00PM PT - 9:00PM PT
UCLA
School of Public Affairs Bldg. 2250
Lecture
Tue Feb 25, 2025
6:00PM PT - 9:00PM PT
UCLA
School of Public Affairs Bldg. 2250
Lecture
Tue Mar 4, 2025
6:00PM PT - 9:00PM PT
UCLA
School of Public Affairs Bldg. 2250
Lecture
Tue Mar 11, 2025
6:00PM PT - 9:00PM PT
UCLA
School of Public Affairs Bldg. 2250
Lecture
Tue Mar 18, 2025
6:00PM PT - 9:00PM PT
UCLA
School of Public Affairs Bldg. 2250
-
This section has no set meeting times.
Future Offering (Opens November 04, 2024 12:00:00 AM)
See Details
Instructor: Alfonso Berumen
400703
Fee:
$1,095.00
Onlineformat icon
Updating...
See Details
Notes

Enrollment limited; early enrollment advised. Enrollment deadline: January 20th, 2025

Refund Deadline
No refunds after January 10, 2025
Course Requirements
Internet access required to retrieve course materials.
-
This section has no set meeting times.
Future Offering (Opens November 04, 2024 12:00:00 AM)
See Details
Instructor: Robert Atkinson
400704
Fee:
$1,095.00
Onlineformat icon
Updating...
See Details
Notes

Enrollment limited; early enrollment advised. Enrollment deadline: January 20th, 2025

Refund Deadline
No refunds after January 10, 2025
Course Requirements
Internet access required to retrieve course materials.

Contact Us

Our team members are here to help. Hours: Mon-Fri, 8am-5pm.
phone-icon 310-206-6794
phone-icon dt@uclaextension.edu

This course applies towards the following certificates & specializations…

Data Science
data visualization graohic
Python for Data Engineers
data engineers working
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