Exploratory Data Analysis and Visualization

COM SCI X 450.2
Students will learn the iterative process of EDA, data analysis techniques, data exploration, and visualization. The course uses tools such as R Programming for data analysis, and Tableau for data visualization.
READ MORE ABOUT THIS COURSE
Hybrid
Online
Starting at $950.00
10 weeks
4.0 Credits
3.6 CEUs

What you can learn.

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

About this course:

The key goal of Data Science is to obtain insights from data. The insights could be about what happened in the past by analyzing historical data or about predicting what may happen in the future using predictive analytics. Data Scientists go through an iterative process to come up with means that lead to insights. This process is called Exploratory Data Analysis (EDA). In addition to a curious mind, data exploration and data visualization are key requisites for EDA. This course will teach you these skills with a specific focus on visualization. You will learn the iterative process of EDA, data analysis techniques, data exploration, and visualization. The course uses tools such as the R and Python language for data analysis, and Tableau and D3.js for data visualization.

Suggested Prerequisites

It is advisable that you complete the following (or equivalent) since they are prerequisites for Exploratory Data Analysis and Visualization.

Recommended: COM SCI X 450.1 Introduction to Data Science, or equivalent experience

Fall 2018 Schedule

These courses are fully online, and there are no in-person classroom meetings.

Available
-
Instructor: Ali El-Annan
363237
Fee:
$950.00
42 days left. Enroll by Sep 24, 2018
See Details
Notes
Enrollment limited. Enrollment deadline: September 30, 2018. Internet access required. Materials required.
Refund Deadline
No refunds after October 7, 2018

Hybrid courses utilize a combination of in-person classroom meetings and online meetings.

Available
-
Saturday 9:30AM - 1:00PM
Instructor: Sajid Ali
363207
Fee:
$950.00
47 days left. Enroll by Sep 29, 2018
See Details
Notes
Enrollment limited. Enrollment deadline: October 5, 2018. Internet access required. Materials required.
Refund Deadline
No refunds after October 12, 2018
Schedule
Type
Date
Time
Location
Lecture
Sat Sep 29, 2018
9:30AM - 1:00PM
UCLA Extension Lindbrook Center
UCLA Extension Lindbrook Center 107B
Lecture
Sat Oct 13, 2018
9:30AM - 1:00PM
UCLA Extension Lindbrook Center
UCLA Extension Lindbrook Center 107B
Lecture
Sat Oct 27, 2018
9:30AM - 1:00PM
UCLA Extension Lindbrook Center
UCLA Extension Lindbrook Center 107B
Lecture
Sat Nov 10, 2018
9:30AM - 1:00PM
UCLA Extension Lindbrook Center
UCLA Extension Lindbrook Center 107B
Lecture
Sat Nov 24, 2018
9:30AM - 1:00PM
UCLA Extension Lindbrook Center
UCLA Extension Lindbrook Center 107B

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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