Chapter 2 Descriptive Analytics 1: Nature of Data, Statistical Modeling, and Visualization

1-What is the difference between data, information, and knowledge?

2-What is Master Data Management? Why is it critical in modern organizations?

3-Give two examples for each of the following: Categorical Data, Nominal Data, Ordinal Data, Numeric Data, Interval Data, and Ratio Data.

4-What is Data Preprocessing? What are the main steps?

5-List and define the most common Descriptive Statistics.

6-What is Dispersion and what is the difference among Range, Variance, and Standard Deviation?

7-What is a Normal Distribution? What is the difference between Skewness and Kurtosis?

8-What is Regression and how does it differ from Correlation?

9-Explain the difference between Data Visualization and Visual Analytics?

10-What is a Dashboard? What are the most common dashboard characteristics?