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Exploratory Data Analysis and Visualization

COM SCI X 450.2

Learn the iterative process of exploratory data analysis (EDA), data analysis techniques, data exploration, and visualization. Course tools include R for data analysis and Tableau for data visualization.

READ MORE ABOUT THIS COURSE
Fall
Winter
Spring
Summer
Online
In Person
Starting at $1,095.00
As few as 10 weeks
4.0

What you can learn.

  • Analyze and prepare raw data for processing
  • Learn visualization with R and Tableau
  • Create visual representations of data for exploration, presentation, and dashboards

About this course:

Data science involves uncovering key intelligence by analyzing historical data to learn what happened in the past, and predictive analytics to forecast what may happen in the future. This iterative process is called exploratory data analysis (EDA). Effective data visualization is also an integral component of the process, and quickly becoming a top business intelligence and analytics technology. In this course, you’ll learn skills including EDA, data analysis techniques and data exploration, with a specific focus on visualization utilizing Tableau.

Winter 2025 Schedule

Date & Time
Details
Format
 
-
Wednesday 6:00PM - 9:00PM PT
Available
See Details
Instructor: Tim Park
400709
Fee:
$1,095.00
In Personformat icon
Location: UCLA
Notes

Enrollment limited; early enrollment advised. Visitors not permitted.

Enrollment deadline: January 20th, 2025

Refund Deadline
No refunds after January 21, 2025
Schedule
Type
Date
Time
Location
Lecture
Wed Jan 8, 2025
6:00PM PT - 9:00PM PT
UCLA
Math Sciences 5117
Lecture
Wed Jan 15, 2025
6:00PM PT - 9:00PM PT
UCLA
Math Sciences 5117
Lecture
Wed Jan 22, 2025
6:00PM PT - 9:00PM PT
UCLA
Math Sciences 5117
Lecture
Wed Jan 29, 2025
6:00PM PT - 9:00PM PT
UCLA
Math Sciences 5117
Lecture
Wed Feb 5, 2025
6:00PM PT - 9:00PM PT
UCLA
Math Sciences 5117
Lecture
Wed Feb 12, 2025
6:00PM PT - 9:00PM PT
UCLA
Math Sciences 5117
Lecture
Wed Feb 19, 2025
6:00PM PT - 9:00PM PT
UCLA
Math Sciences 5117
Lecture
Wed Feb 26, 2025
6:00PM PT - 9:00PM PT
UCLA
Math Sciences 5117
Lecture
Wed Mar 5, 2025
6:00PM PT - 9:00PM PT
UCLA
Math Sciences 5117
Lecture
Wed Mar 12, 2025
6:00PM PT - 9:00PM PT
UCLA
Math Sciences 5117
Lecture
Wed Mar 19, 2025
6:00PM PT - 9:00PM PT
UCLA
Math Sciences 5117
-
This section has no set meeting times.
Available
See Details
Instructor: Bianca Cung
400708
Fee:
$1,095.00
Onlineformat icon
Notes

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

Refund Deadline
No refunds after January 10, 2025

Spring 2025 Schedule

Date & Time
Details
Format
 
-
Wednesday 6:00PM - 9:30PM PT
Future Offering (Opens February 03, 2025 12:00:00 AM)
See Details
Instructor: Tim Park
402620
Fee:
$1,095.00
In Personformat icon
Location: UCLA
Notes

Enrollment limited; early enrollment advised. Visitors not permitted.

Enrollment deadline: April 6th, 2025

Refund Deadline
No refunds after April 15, 2025
Schedule
Type
Date
Time
Location
Lecture
Wed Apr 2, 2025
6:00PM PT - 9:30PM PT
UCLA
Math Sciences 5117
Lecture
Wed Apr 9, 2025
6:00PM PT - 9:30PM PT
UCLA
Math Sciences 5117
Lecture
Wed Apr 16, 2025
6:00PM PT - 9:30PM PT
UCLA
Math Sciences 5117
Lecture
Wed Apr 23, 2025
6:00PM PT - 9:30PM PT
UCLA
Math Sciences 5117
Lecture
Wed Apr 30, 2025
6:00PM PT - 9:30PM PT
UCLA
Math Sciences 5117
Lecture
Wed May 7, 2025
6:00PM PT - 9:30PM PT
UCLA
Math Sciences 5117
Lecture
Wed May 14, 2025
6:00PM PT - 9:30PM PT
UCLA
Math Sciences 5117
Lecture
Wed May 21, 2025
6:00PM PT - 9:30PM PT
UCLA
Math Sciences 5117
Lecture
Wed May 28, 2025
6:00PM PT - 9:30PM PT
UCLA
Math Sciences 5117
Lecture
Wed Jun 4, 2025
6:00PM PT - 9:30PM PT
UCLA
Math Sciences 5117
-
This section has no set meeting times.
Future Offering (Opens February 03, 2025 12:00:00 AM)
See Details
Instructor: Bianca Cung
402618
Fee:
$1,095.00
Onlineformat icon
Notes

Enrollment limited; early enrollment advised. Enrollment deadline: April 6th, 2025

Refund Deadline
No refunds after April 04, 2025

Contact Us

Our team members are here to help. Hours: Mon-Fri, 8am-5pm.

This course applies towards the following certificates & specializations…

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