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Course Description

Data Analysis is quickly becoming one of the most sought-after skills in the workplace. Companies have vast amounts of data, but it is rare to have someone with the ability to analyze that data to see trends and make predictions. This course will give you a basic understanding of how to analyze data in a business setting. Businesses look for candidates with an understanding of how to analyze the data they have been collecting; this course will help you start on that journey. This is a one-month, online course.

No discounts apply to online courses.

Course Outline

Agenda

 

Unit 1

Understanding Data

  • Identify sources of Data
  • Discover methods of Collecting Data
  • Examine Quantitative Data
  • Examine Qualitative Data

 

Unit 2

Processing Data

  • Introduction to Statistics
  • Determine the Appropriate Statistical Method for use in various scenarios
  • Identify methods of Sorting and Filtering Data
  • Categorize Data

 

Unit 3

Analyzing Data

  • Discuss Probability and the Normal Distribution
  • Perform Trend Analysis
  • Perform Breakeven Analysis
  • Understand basic Statistical Modelling

 

Unit 4

Interpreting and Presenting Results

  • Design Professional-looking Tables
  • Generate Effective Charts
  • Create Pivot Tables and Pivot Charts
  • Compile a Dashboard for Management

Applies Towards the Following Certificates

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Enroll Now - Select a section to enroll in
Section Title
Introduction to Data Analysis
Type
Online, self paced
Dates
Apr 01, 2024 to Apr 26, 2024
Delivery Options
Online  
Course Fee(s)
Course Fee non-credit $195.00
CEUs
1.8 CEUs
Section Notes

This UGotClass course is a one-month, self-paced, online course. This section is scheduled for April 1-26, 2024.  There are no set meeting dates or times.

This class is part of the Data Analysis Certificate Program (ONLINE)

Instructor: John Rutledge

NOTE: Students will receive Log-On information from UGotClass

Cancellation, Withdrawal and Refund Policy

A participant who withdraws from a non-credit course, in writing, up to one-week prior to the starting date of the course, will receive a refund, minus a $25 withdrawal fee; for all certificate programs the withdrawal fee is $50. For courses costing $75 or less, the withdrawal fee is $10 per course. No refunds will be given after that time. E-mail your withdrawal request to: NCCE@temple.edu. Please note that if you do not officially withdrawal from a course and you do not attend the course, you are still responsible for payment. Temple University reserves the right to cancel a course for any reason. If the course is cancelled, you will be notified and your entire tuition will be refunded.

For more information contact us at ncce@temple.edu or 267-468-8500.

Section Title
Introduction to Data Analysis
Type
Online, self paced
Dates
Jun 03, 2024 to Jun 28, 2024
Delivery Options
Online  
Course Fee(s)
Course Fee non-credit $195.00 Click here to get more information
CEUs
1.8 CEUs
Section Notes

This UGotClass course is a one-month, self-paced, online course. This section is scheduled for June 3-28, 2024.  There are no set meeting dates or times.

This class is part of the Data Analysis Certificate Program.

Instructor: John Rutledge

NOTE: Students will receive Log-On information from UGotClass

For more information contact us at ncce@temple.edu or 215-204-4866.

Section Title
Introduction to Data Analysis
Type
Online, self paced
Dates
Sep 03, 2024 to Sep 28, 2024
Delivery Options
Online  
Course Fee(s)
Course Fee non-credit $195.00 Click here to get more information
CEUs
1.8 CEUs
Section Notes
  • Instructor: John Rutledge
  • Course Format: Online, self-paced. No Zoom meetings. No set meeting dates or times.
  • Course Duration: September 3-28, 2024. This is a 4-week course.
  • Access to Course: An invitation into the online classroom will be emailed to you typically the Wednesday prior to the start of the course. If you haven’t received the invite by the following morning, you can forward the confirmation email to info@ugotclass.org for a prompt resend.

Please let me know if you need further assistance or have any specific questions about this course. 

For more information contact us at ncce@temple.edu or 215-204-4866