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Course Description

This course will introduce students to data discovery, data analytics, and data visualization with contemporary business tools. Students will learn to differentiate data analytics from statistical analysis and use the power of informatics in shaping decision-making in the modern business context. The course will address analytics as a tool for business process-improvement and present data acquisition and formatting, metric creation, data discovery, and data visualization with real-world examples and exercises for students to work through in class.   

This graduate course is 6 weeks.

This course has a prerequisite. Please see details in the Prerequisite section below.

PLEASE NOTE:
Attendance and participation are mandatory in all university courses, and specific requirements may differ by course. If attendance requirements are not met, a student may be removed from the course. Please review the Course Attendance Policy in the Catalog for more information.

Course Objectives

Week 1

  • Differentiate raw data and information.
  • Compile visual representations of information, such as infographics, to convey information efficiently.

Week 2

  • Establish metrics for the statistical analysis of information.
  • Discuss differences between descriptive and predictive analytics, and explain how these are applied by various organizations.
  • Assess ethical considerations related to data mining and predictive analytics.

Week 3

  • Explain the value of data mining and the Knowledge Discovery in Databases (KDD) process.
  • Identify appropriate types of data for analysis.
  • Establish metrics to analyze data, evaluate performance, and determine statistical patterns.

Week 4

  • Identify various types of useful data and the benefits and challenges of data sampling.
  • Use transform commands to evaluate expressions in a data environment.

Week 5

  • Determine alternative explanations for sample data sets.
  • Analyze how process changes can impact data collection and the value of established metrics.
  • Create infographics or other graphic illustrations to visualize data.

Week 6

  • Evaluate the results of your data analyses to formulate and present your conclusions.

Prerequisites

This graduate level course requires proof of completion of a Bachelor's degree. Be prepared to provide documentation during the checkout process.

During the checkout process you will be prompted to provide proof of the requirement(s). If you completed the prerequisite at another institution be prepared to upload an official/unofficial transcript. If you have questions about meeting the prerequisite requirements for this course please contact an enrollment representative at 866-345-1800.

Disclaimers

The University of Phoenix reserves the right to modify courses.

While widely available, not all programs are available in all locations or in both online and on-campus formats. Please check with an Enrollment Representative.

Transferability of credit is at the discretion of the receiving institution. It is the student’s responsibility to confirm whether or not credits earned at University of Phoenix will be accepted by another institution of the student’s choice.

If you have a question contact us at 866-345-1800.

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DATA ANALYSIS AND BUSINESS ANALYTICS
Type
Instructor Led
Days
T, M
Time
12:00AM to 11:59AM
Dates
Apr 21, 2020 to Jun 01, 2020
Campus
Online Campus
Building
Online Non-Degree
Schedule and Location
Contact Hours
143.8
Location
  • Online Campus
Course Fee(s)
Graduate Tuition credit (3 units) $2,094.00 Click here to get more information
Section Fees
Resource Fee $195.00 Mandatory
Credits/Units
3 Credit Hours
DATA ANALYSIS AND BUSINESS ANALYTICS
Type
Instructor Led
Days
T, M
Time
12:00AM to 11:59AM
Dates
Jun 02, 2020 to Jul 13, 2020
Campus
Online Campus
Building
Online Non-Degree
Schedule and Location
Contact Hours
143.8
Location
  • Online Campus
Course Fee(s)
Graduate Tuition credit (3 units) $2,094.00 Click here to get more information
Section Fees
Resource Fee $195.00 Mandatory
Credits/Units
3 Credit Hours
DATA ANALYSIS AND BUSINESS ANALYTICS
Type
Instructor Led
Days
T, M
Time
12:00AM to 11:59AM
Dates
Jul 14, 2020 to Aug 24, 2020
Campus
Online Campus
Building
Online Non-Degree
Schedule and Location
Contact Hours
143.8
Location
  • Online Campus
Course Fee(s)
Graduate Tuition credit (3 units) $2,094.00 Click here to get more information
Section Fees
Resource Fee $195.00 Mandatory
Credits/Units
3 Credit Hours
DATA ANALYSIS AND BUSINESS ANALYTICS
Type
Instructor Led
Days
T, M
Time
12:00AM to 11:59AM
Dates
Aug 25, 2020 to Oct 05, 2020
Campus
Online Campus
Building
Online Non-Degree
Schedule and Location
Contact Hours
143.8
Location
  • Online Campus
Course Fee(s)
Graduate Tuition credit (3 units) $2,094.00 Click here to get more information
Section Fees
Resource Fee $195.00 Mandatory
Credits/Units
3 Credit Hours
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