Introduction to data science

5. Which step in the Data Science process involves assessing the quality of collected data?

Data Collection
Data Cleaning
Data Validation
Data Visualization

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collected data?" class="read-more button" href="https://exam.pscnotes.com/mcq/which-step-in-the-data-science-process-involves-assessing-the-quality-of-collected-data/#more-59491">Detailed SolutionWhich step in the Data Science process involves assessing the quality of collected data?

7. What is the primary purpose of data visualization in Data Science?

To make data more complicated
To simplify complex data
To increase data complexity
To store data

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the primary purpose of data visualization in Data Science?" class="read-more button" href="https://exam.pscnotes.com/mcq/what-is-the-primary-purpose-of-data-visualization-in-data-science/#more-58902">Detailed SolutionWhat is the primary purpose of data visualization in Data Science?

8. Which of the following command help us to give message description?

git command -m
git command -d
git command -message
none of the mentioned

Detailed

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SolutionWhich of the following command help us to give message description?

9. Point out the wrong statement.

You need GitHub to use Git
GitHub allows you to share repositories with others
GitHub allows you to access others repositories
All of the mentioned

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statement." class="read-more button" href="https://exam.pscnotes.com/mcq/point-out-the-wrong-statement-58/#more-58842">Detailed SolutionPoint out the wrong statement.

10. Which of the following is a common method for dealing with missing data in a dataset?

Dropping missing values
Imputing missing values
Creating new features
Normalizing the data

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button" href="https://exam.pscnotes.com/mcq/which-of-the-following-is-a-common-method-for-dealing-with-missing-data-in-a-dataset/#more-58756">Detailed SolutionWhich of the following is a common method for dealing with missing data in a dataset?

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