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GOOGLE DATA ANALYTICS COURSE 1 - FOUNDATIONS Questions with Correct Solutions

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GOOGLE DATA ANALYTICS COURSE 1 - FOUNDATIONS Questions with Correct Solutions

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GOOGLE DATA ANALYTICS: COURSE 1 - FOUNDATIONS Questions
with Correct Solutions

Question:
1. 01-001 - Definition of Data

Answer:
facts, observations, numbers, measurements, videos, pics


Question:
2. 01-002 - Definition of Analytics

Answer:
science of logical analysis, science of data


Question:
3. 01-003 - Definition of Analysis

Answer:
collection, transformation, organization, conclusions, predictions, decision-making


Question:
4. 01-004 - Steps in Data Analysis Process

Answer:
ask, prepare, process, analyze, share, act


Question:
5. 01-005 - One way to think of analysis is that it turns data into _____.

Answer:
insights


Question:
6. 01-006 - List 5 ways to use data (IP, IOT, LNP, SC, MD)

Answer:
improve processes, identify opportunities and trends, launch new products, serve customers,
make decisions


Question:
7. 01-007 - Definition of Business Analytics (UMS,DMFD,MD)

Answer:
use of math and statistics to derive meaning from data to make better decisions

,Question:
8. 01-008 - What are the 3 types of business analytics?

Answer:
descriptive, predictive, prescriptive


Question:
9. 01-009 - Which type of business analytics interprets historical data to identify trends and
patterns?

Answer:
descriptive


Question:
10. 01-010 - Which type of business analytics centers on taking information on trends and
patterns to forecast future outcomes?

Answer:
predictive


Question:
11. 01-011 - Which type of business analytics uses testing and other techniques to determine
which outcome will yield the best result for a given scenario?

Answer:
prescriptive


Question:
12. 01-012 - Definition of People Analytics

Answer:
improve workplace and business processes


Question:
13. 01-013 - Definition of Regression Analysis

Answer:
a statistical method used to examine relationships between variables


Question:
14. 01-014 - Definition of Root-Mean-Square Error

Answer:
difference between predicted and observed values

, Question:
15. 01-015 - What are the 3 disciplines of Data Science?

Answer:
machine learning/AI, statistics, analytics


Question:
16. 01-016 - What is the excellence of a machine learning/AI engineer?

Answer:
performance


Question:
17. 01-017 - What is the excellence of a statistician?

Answer:
rigor


Question:
18. 01-018 - What is the excellence of an analyst?

Answer:
speed in discovering gems of insight


Question:
19. 01-019 - Analysts thrive on creative and ___-____ projects.

Answer:
open-ended


Question:
20. 01-020 - Analysts enjoy the fun and thrill of ____.

Answer:
exploration


Question:
21. 01-021 - What does a Data Scientist do? (NWMUURD)

Answer:
create new ways of modeling and understanding the unknown by using raw data


Question:
22. 01-022 - What are 3 reasons you analyze data? (PRT)

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