introduction to data analytics coursera quiz answers week 4

Analyzing and Mining Data

Practice Quiz

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

  • Variance
  • Regression
  • Classification
  • Mean

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

  • Regression
  • Anomaly Detection
  • Clustering
  • Classification

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

  • twitter
  • NumPy

  • Pandas

  • Tm

Graded Quiz

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

  • Pie
  • Statistics
  • Algebra
  • Calculus

5. Data Mining is defined as the process of:

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

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

  • Classification of data 
  • Filtering
  • Sorting
  • 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?

  • Average
  • Mode
  • Mean
  • Median

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

  • Trend
  • Pattern
  • Variation
  • Anomaly

Communicating Data Analysis Findings

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

11. What spreadsheet software is preferred when multiple users need to collaborate?

  • Tableau
  • Microsoft Excel 
  • Google Sheets
  • R-Studio

Graded Quiz

12. "A presentation is not a data dump”. What is the one thing you would do to ensure your presentation is not a data dump?

  • Include only that information as is needed to address the business problem
  • Not include facts and figures in the presentation
  • Deliver the findings in a single slide
  • Not use visuals in the presentation

13. What is the discipline of communicating information through the use of visual elements?

  • Data type conversion 
  • Data visualization 
  • Data regression 
  • Data profiling 

14. Matplotlib is a widely used Python data visualization library.

  • True
  • False

15. What is the goal of Data Visualization?

  • Make collaboration easy
  • Establish trust in the audience
  • Make information easy to comprehend, interpret, and retain
  • Make the presentation look attractive

16. What can you do to help your audience trust you?

  • Hand them copies of the data sets you have used for analysis
  • Make your presentation look good
  • Share your data sources, hypotheses, and validations
  • Share the detailed documentation of every aspect of your project so they can verify all details

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