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?
- 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.
- 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.
- 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.
- 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
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Learning Outcomes
By successfully completing this course, students will be able to:
- Define data analysis and describe its key steps in a business setting, including determining objectives, identifying levers, collecting and cleaning data, modeling, and interpreting results.
- Identify and explain the role of a data analyst within a business, detailing the responsibilities involved in the data analysis process and how it impacts business decision-making.
- Define and describe key terminology associated with data analysis to demonstrate understanding by listing and explaining at least five terms used in the field.
- Identify and explain the impact of linguistic evolution in data analysis by providing examples of how terminology and buzzwords have changed over time.
- Demonstrate how data analysis contributes to business growth by evaluating its impact on cost reduction and employee performance.
- Recognize major industries that utilize data analysis and describe specific applications within these sectors.
- Analyze potential risks associated with implementing data analysis in a business setting by evaluating a minimum of two disadvantages and proposing strategies to mitigate them.
- Define how data analysis contributes to effective decision-making by identifying at least three specific business advantages gained through its application.
- Explain the role of mathematics and technology in the evolution of data analysis and assess their influence on current data analysis methods.
- Identify major events in the history of data analytics and describe their impact on its modern practice.
- Define the types of business data used in data analysis, including social media, sales, demographics, and market trends.
- Identify different data capture methods, such as OCR, MICR, and web-data capture, and describe their applications in business analysis.
- Demonstrate an understanding of the stages of the information life cycle by accurately categorizing data activities into the correct stages.
- 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 |