About This Chapter
Data Analysis Methods - Chapter Summary
If you are looking to learn more about about data analysis methods, then this chapter is the tool for you. Our instructors walk you through the major methods, techniques, and concepts associated with data analysis and its applications. When you complete the chapter, you should possess the skills to do the following:
- Use various methods and techniques for data analysis
- Examine relationships and find trends within data sets
- Utilize tools for accessing, categorizing, and organizing business intelligence (BI)
- Compare qualitative and quantitative analyses for business decisions
- Conduct a 5 whys analysis
- Explain the methods and tools used for root cause analysis
Our study materials can help get you ready for an upcoming exam, especially if you make use of the assessment tools. Each lesson we offer comes equipped with an interactive quiz. The quizzes are multiple-choice and usually include at least five questions. These questions are designed to test your knowledge concerning concept applications, definitions, vocab words, image identification, and more. After you answer the quizzes, your scores show up immediately, with an answer key that includes explanations for any questions you may have missed. You can even print out the quizzes as worksheets to practice off-line and to add to your notes.
1. Data Analysis: Techniques & Methods
In this lesson, we'll learn about data analysis. We'll define the two methods of data analysis, quantitative and qualitative, and look at each of their various techniques. The lesson will then conclude with a summary and a quiz.
2. Qualitative Analysis Business Decisions
Do you want to know how qualitative analysis can help benefit your company? We will learn how qualitative analysis helps determine management quality, brand awareness, and customer satisfaction.
3. Quantitative Analysis for Business Decisions
Quantitative analysis used for business decisions is based purely on data. In this lesson, we will discuss the importance of quantitative analysis for making business decisions.
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