introduction to data analytics coursera quiz answers week 4

Practice Quiz

1. What is one of the common measures of Central Tendency?

  • Classification
  • Regression
  • Mean
  • Variance

2. What technique is used to help identify the nature of the relationship between two variables?

  • Anomaly Detection
  • Regression
  • Clustering
  • Classification

3. What Python libraries are commonly used for data mining?

  • NumPy
  • twitter
  • Tm
  • Pandas

Graded Quiz

4. What is a branch of mathematics dealing with the collection, analysis, interpretation, and presentation of numerical or quantitative data?

  • Calculus
  • Algebra
  • Statistics
  • Pie

5. Data Mining is defined as the process of:

  • Extracting knowledge from data
  • Identifying errors in data
  • Filtering data based on pre-defined criteria
  • Preparing raw data for analysis

6. What type of data mining operations was R specifically built to handle?

  • Sorting
  • Classification of data 
  • Filtering
  • Calculating mean, median, and mode

7. When you’re calculating the middle value of a data field in a data set, what are you really calculating?

  • Mean
  • Median
  • Average
  • Mode

8. What is the general tendency of a set of data to change over time called?

  • Trend
  • Anomaly
  • Pattern
  • Variation

Shuffle Q/A 1

Practice Quiz

9. Data visualizations such as graphs and charts are a great way to bring data to life.

  • True
  • False

10. You can use dashboards to present operational data such as daily progress data, as well as analytical data, such as the overall health of a business function.

  • True
  • False

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