Course Description

Mastering Business Data Analysis: Unlock the Power of Insight

Step into the electrifying realm of data analysis with this immersive course designed to elevate your understanding of business data. In today's dynamic business landscape, staying ahead is no longer a luxury – it's a necessity. Amidst this race, a company's true north lies in its data.

Why is this course a game-changer?

  1. Tools Galore: Dive deep into a treasure trove of cutting-edge tools that leading businesses deploy, ensuring that you're not just in the game, but always a step ahead.
  2. Navigating the Business Ecosystem: Understand the fast-paced nuances of the business world. With every tick of the clock, strategies evolve, and only the most agile survive.
  3. The Heartbeat of Business - Information: In the vast ocean of resources a business possesses, information stands out as its compass. Learn how to tap into this invaluable asset and harness its potential.
  4. The Art & Science of Data Analysis: Decode the intricate dance of numbers and patterns. Discover the power of data analysis, the beacon that guides businesses away from potential pitfalls and towards monumental successes.

Embarking on this journey is not just about enhancing your skillset; it's about being the change-maker businesses desperately seek. Equip yourself with the prowess of data analysis and be the linchpin that propels organizations to new heights. Dare to dive deep, and the insights you unlock could redefine the future of business.

  • Completely Online
  • Self-Paced
  • 6 Months to Complete
  • 24/7 Availability
  • Start Anytime
  • PC & Mac Compatible
  • Android & iOS Friendly
  • Accredited CEUs
Universal Class is an IACET Accredited Provider
 

Learning Outcomes

By successfully completing this course, students will be able to:
  • Describe what data analysis means for business.
  • Define data analysis terminology.
  • Describe why you should use data analysis.
  • Summarize a history of data analysis.
  • Describe the usage of information in data analysis.
  • Determine the information life cycle.
  • Summarize issues with data analysis.
  • Describe rules of data collection.
  • Define big data.
  • Describe options for data analysis software and tools.
  • Describe data storage options.
  • Demonstrate mastery of lesson content at levels of 70% or higher.
 
 

Assessment Guide

Assessment Points
Course Introduction and Goals 1 points
Lesson 1 Exam 9 points
Lesson 2 Exam 10 points
Lesson 3 Exam 10 points
Lesson 4 Exam 10 points
Lesson 5 Exam 10 points
Lesson 6 Exam 10 points
Lesson 7 Exam 10 points
Lesson 8 Exam 10 points
Lesson 9 Exam 9 points
Lesson 10 Exam 10 points
Lesson 11 Exam 10 points
Lesson 12 Exam 10 points
Lesson 13 Exam 10 points
Lesson 14 Exam 10 points
Lesson 15 Exam 10 points
The Final Exam 58 points
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