Course Description
This data analysis course provides a great primer for understanding and analyzing business data. There are a wide variety of tools and resources that businesses use as a part of their daily operations and functions. In many cases, this is necessary in order for them to keep pace with other businesses and the rest of the professional world in an ever-changing economy. Being even slightly behind the competition could cause a significant disadvantage and lead to losses, including financial ones, for a business. One of the most crucial resources a business has is information, and it can be used and evaluated through a process known as data analysis.
- Completely Online
- Self-Paced
- 6 Months to Complete
- 24/7 Availability
- Start Anytime
- PC & Mac Compatible
- Android & iOS Friendly
- Accredited CEUs
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 |