Foundations: Data, Data, Everywhere

 Google Data analytics week 1 challenge

#google #data #science #analytics

1.

Question 1

The collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision-making describes what?

1 / 1 point

Data science

Data analysis

Data analytics

Data life cycle

Correct

The collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision-making describes data analysis.

2.

Question 2

Which of the following are components of people analytics? Select all that apply.

0.75 / 1 point

Collecting and analyzing information on employees

Correct

People analytics — also known as human resources or workforce analytics — involves collecting and analyzing information on a company’s employees in order to gain insights that unlock potential and create a more productive workplace.

Favoring a person or group of people

Collaborating with stakeholders

Gaining insights that help create a more productive workplace

Correct

People analytics — also known as human resources or workforce analytics — involves collecting and analyzing information on a company’s employees in order to gain insights that unlock potential and create a more productive workplace.

You didn’t select all the correct answers

3.

Question 3

In data analytics, a model is a group of elements that interact with one another.

0 / 1 point

True

False

Incorrect

Review the section on the data analytics basics for a refresher.

4.

Question 4

Select the best description of gut instinct.

1 / 1 point

Using your innate ability to analyze results

Manipulating data to match your intuition

An intuitive understanding of something with little or no explanation

Choosing facts that complement your personal experiences

Correct

Gut instinct is an intuitive understanding of something with little or no explanation.

5.

Question 5

A company defines a problem it wants to solve. Then, a data analyst gathers relevant data, analyzes it, and uses it to draw conclusions. The analyst shares their analysis with subject-matter experts, who validate the findings. Finally, a plan is put into action. What does this scenario describe?

1 / 1 point

Data-driven decision-making

Identification of trends

Customer service

Data science

Correct

This company has put data at the heart of its business strategy in order to achieve data-driven decision-making.

6.

Question 6

To get the most out of data-driven decision-making, it’s important to include insights from people very familiar with the business problem. Identify what these people are called.

1 / 1 point

Customers

Competitors

Stakeholders

Subject-matter experts

Correct

Subject-matter experts are very familiar with the business problem and can look at the results of data analysis to validate the choices being made.

7.

Question 7

Sharing the results of your analysis with colleagues who are very familiar with the business problem supports what practice?

1 / 1 point

Data science

Data management

Data analytics

Data-driven decision-making

Correct

Sharing the results of your analysis with people who are familiar with the business problem is an example of data-driven decision-making. Data-driven decision-making is using facts to guide business strategy.

8.

Question 8

You read an interesting article about data analytics in a magazine and want to share some ideas from the article in the discussion forum. In your post, you include the author and a link to the original article. This would be an inappropriate use of the forum.

1 / 1 point

True

False

Correct

Sharing informative articles is an appropriate use of the forum as long as you give credit to the original author. Also, posts should be relevant to data analytics and checked for typos and grammatical errors.