11. A training set is used for what?

  • Data Visualization
  • Predictive modeling
  • Statistical analysis
  • Descriptive modeling

12. A statistician calls a false-negative, a type I error, and a false-positive, a type II error.

  • True
  • False

13. The Data Understanding stage encompasses what?

  • All activities related to constructing the dataset.
  • Sorting the data.
  • Transforming data
  • Removing redundant data.

14. The Data Preparation stage involves what?

  • Addressing missing values.
  • Correcting invalid values and addressing outliers.
  • Removing duplicate data.
  • Formatting the data.
  • All of the above

15. The final stages of the data science methodology are an iterative cycle between which of the different stages?

  • Data Understanding, Data Preparation, Evaluation, and Modelling.
  • Modelling, Evaluation, Deployment, and Feedback.
  • Modelling, Evaluation, Data Understanding, Data Preparation, and Deployment.
  • Modelling, Data Preparation, Deployment, and Feedback.

16. Deploying a model into production represents the beginning of an iterative process between;

  • Feedback
  • Model Refinement
  • Redeployment
  • All of the above

17. Select the correct sentence about the data science methodology as explained in the course.

  • The data science methodology does not depend on a specific set of technologies or tools.
  • The data science methodology always starts with Business Understanding.
  • The data science methodology is an iterative process.
  • All of the above

18. What do data scientists typically use for exploratory analysis of data and to get acquainted with it?

  • They begin with regression, classification, or clustering.
  • They use descriptive statistics and data visualization techniques.
  • They use deep learning.
  • They use support vector machines and neural networks as feature extraction techniques.

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