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Prepare Data for Exploration : weekly challenge 1

Prepare Data for Exploration : weekly challenge 1

#coursera #exploration #weekly #challenge 1

#cybersecurity #coursera #quiz #solution #network

Are you prepared to increase your data exploration abilities? The goal of Coursera's Week 1 challenge, "Prepare Data for Exploration," is to provide you the skills and resources you need to turn unprocessed data into insightful information. With the knowledge you'll gain from this course, you can ensure that your data is organised, clean, and ready for analysis. Data preparation is one of the most important processes in any data analysis effort. Inaccurate results and flawed conclusions might emerge from poorly prepared data. You may prepare your data for exploration with Coursera's Weekly Challenge 1. You'll discover industry best practises and insider advice.

#answers #questions #flashcard

Question 1

What is the most likely reason that a data analyst would use historical data instead of gathering new data?

1 / 1 point
Correct
Question 2

Fill in the blank: The number of days a month that a store is open is an example of _____ data.

1 / 1 point
Correct
Question 3

Fill in the blank: The question “Where did you vacation last year?” is an example of collecting _____ data.

1 / 1 point
Correct
Question 4

Why is internal data considered more reliable and easier to collect than external data?

1 / 1 point
Correct
Question 5

Data that has been organized into a certain format is known as structured data in data analysis. Which of the following are examples of structured data? Select all that apply.

1 / 1 point
Correct
Correct
Question 6

Fill in the blank: A Boolean data type can have _____ possible values.

1 / 1 point
Correct
Question 7

The following is a selection from a spreadsheet:

Name

Age

Occupation

Agnes Shipton

44

Entrepreneur

Ronaldo Vincent

23

Accountant

Henry Sing

36

Editor

Krishna Bowling

62

Graphic designer

What kind of data format does it contain?

0 / 1 point
Incorrect
Question 8

What is the term for changing the structure or format of data?

1 / 1 point
Correct
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