Detailed SolutionWhich of the following is NOT a key role in a typical Data Science team?
Introduction to data science
Data Engineer
Data Analyst
Data Scientist
Database Administrator
Answer is Right!
Answer is Wrong!
12. Which of the following principle is incorrectly represented in the below figure?
Show Comparisons
Integrate Evidence
Describe Evidence
None of the mentioned
Answer is Right!
Answer is Wrong!
Detailed SolutionWhich of the following principle is incorrectly represented in the below figure?
13. What is the primary objective of data exploration in Data Science?
To build predictive models
To find hidden patterns
To summarize data
To collect data
Answer is Right!
Answer is Wrong!
Detailed SolutionWhat is the primary objective of data exploration in Data Science?
14. In Data Science, what is the purpose of feature engineering?
To extract features from data
To visualize data features
To clean data features
To model data features
Answer is Right!
Answer is Wrong!
Detailed SolutionIn Data Science, what is the purpose of feature engineering?
15. Point out the correct statement.
Machine learning focuses on prediction, based on known properties learned from the training data
Data Cleaning focuses on prediction, based on known properties learned from the training data
Representing data in a form which both mere mortals can understand and get valuable insights is as much a science as much as it is art
None of the mentioned
Answer is Right!
Answer is Wrong!
16. Which of the following command line environment is used for interacting with Git?
GitHub
Git Bash
Git Boot
All of the mentioned
Answer is Right!
Answer is Wrong!
Detailed SolutionWhich of the following command line environment is used for interacting with Git?
17. Which of the following is NOT typically considered a part of the Data Science process?
Data Collection
Data Visualization
Data Cleaning
Software Development
Answer is Right!
Answer is Wrong!
18. Raw data should be processed only one time.
TRUE
nan
nan
nan
Answer is Right!
Answer is Wrong!
Detailed SolutionRaw data should be processed only one time.
19. What is the process of converting categorical variables into numerical values for machine learning called?
Feature Extraction
Data Encoding
Data Standardization
Label Encoding
Answer is Right!
Answer is Wrong!
20. Which of the following would be more appropriate to be replaced with question mark in the following figure?
Data Analysis
Data Science
Descriptive Analytics
None of the mentioned
Answer is Right!
Answer is Wrong!