WINV075 Foundations of Data Management

 
 
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Course Description

In this course, you'll delve into crafting technical information narratives around visualizations as micro-content. You'll focus on navigating through data and information overload, comprehending it, safeguarding it, and crafting visually compelling stories that drive action for organizations and communities.

Using various software tools, you'll learn to manipulate and present data in ways that captivate audiences and aid decision-makers in taking action.

Course Outline

In this course, you will:

  • Conduct web-based literature searches for credible information
  • Adhere to specific citation styles and execute data collection with quality assurance and control protocols
  • Use MS Excel's Pivot tables to analyze data and master table design
  • Create basic charts like bar charts, scatter plots, and pie charts
  • Discover how to engage managers, funders, and stakeholders through information visualizations
  • Work in teams to source data and craft data-driven narratives in professional reports
  • Present your data-driven story through PowerPoint presentations, engaging your audience effectively

Learner Outcomes

By the end of this course, you will be able to:

  • Recognize the essential components of credible technical reporting and apply APA citation style correctly to avoid plagiarism
  • Critically evaluate and summarize technical information from various sources, making it accessible to diverse audiences
  • Employ active reading strategies to enhance comprehension of complex technical information
  • Implement best practices for quality assurance and control of data collection and storage, ensuring source reliability and integrity
  • Analyze complex datasets using Microsoft Excel workbook functions, including Pivot tables
  • Deliver findings and recommendations through compelling visual reports and presentations using MS PowerPoint

Applies Towards the Following Certificates

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View schedules and add courses
Section Title
Foundations of Data Management
Section Schedule
Feb 24, 2025 to Mar 23, 2025
Type
Online
Dates
Feb 24, 2025 to Mar 23, 2025
Type
Online
Days
T
Time
10:00AM to 11:30AM
Dates
Feb 25, 2025 to Mar 18, 2025
Schedule and Location Requirements
View Details
Contact Hours
6.0
Delivery Options
Blended Online  
Course Fee(s)
Tuition non-credit $995.00
Instructors/Guest Speakers
  • Vanessa Daether
Section Notes
Course Drop or Withdrawal
A course drop or withdrawal can be requested by students through the Student Portal. Deadline dates for each noted below:
   Drop Deadline: Feb 26, 2025
   Withdrawal Deadline: Mar 10, 2025
 
Course Transfer
Students wishing to transfer sections or courses should contact PCS directly for support.

All drops, withdrawals and transfers are subject to the applicable Refund Policy.
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