Here is part 4 of introduction to business analytics.. published by Beamsync. Beamsync is top training institute for analytics courses. If you are looking for business analytics course in Bangalore visit Beamsync.com

1. INTRODUCTION TO ANALYTICS
Part 3

2. a. Discovery
b. Deliverresults
c. Model building
d. Re-checking
Which one of the following is NOT a step in data analytics methodology?

3. a. Discovery
b. Deliverresults
c. Model building
d. Re-checking
Answer:d.
Explanation: Re-checking is not a step in data analytics methodology.
Which one of the following is NOT a step in data analytics methodology?

4. a. Primary and secondary
b. Interval and ratio
c. Nominal and ordinal
d. Random and selective
What are the two categories of data collection methods?

5. a. Primary and secondary
b. Interval and ratio
c. Nominal and ordinal
d. Random and selective
Answer:a.
Explanation: Data collection methods are classified into primary and secondary
What are the two categories of data collection methods?

6. a. Prescriptive
b. Predictive
c. Descriptive
d. Productive
Which of the following is NOT a step in analytics?

7. a. Prescriptive
b. Predictive
c. Descriptive
d. Productive
Answer:d.
Explanation: Productive is not a step in analytics.
Which of the following is NOT a step in analytics?

8. a. Develop and plan required analytic projects in response to business needs
b. Work with application developers to extract data relevant for analysis.
c. There is no need of considering statistical algorithm working process.
d. Contribute to data mining architectures, modeling standards, reporting,
and data analysis methodologies.
Which of the following is FALSE with reference to the role of a data scientist?

9. a. Develop and plan required analytic projects in response to business needs
b. Work with application developers to extract data relevant for analysis.
c. There is no need of considering statistical algorithm working process.
d. Contribute to data mining architectures, modeling standards, reporting,
and data analysis methodologies.
Answer:c.
Explanation: Data scientist needs to consider statistical algorithm working process.
Which of the following is FALSE with reference to the role of a data scientist?

10. Thank You
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