Data Analytics - Module 3

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22 Terms

1
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What is SQL used for in data analysis?

To store, organize, and analyze large datasets efficiently

2
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Why might someone choose SQL over a spreadsheet?

SQL is better for handling large or complex datasets that spreadsheets struggle to process

3
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What environment is needed to use SQL?

SQL must run within a database that understands the SQL language

4
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What are the three core components of a basic SQL query?

SELECT, FROM, and WHERE

5
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Where does the SELECT clause do in SQL?

It specifies the columns to retrieve from a table

6
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What does the FROM clause do in SQL?

It indicates the table where the data is located

7
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What does the WHERE clause do in SQL?

It filters the query results based on specified conditions

8
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How does SQL help analysts filter large datasets?

By using WHERE conditions to narrow down data efficiently

9
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Why does capitalization and indentation useful in SQL?

They improve readability and make queries easier to review

10
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Is a semicolon required in SQL statements?

It is recommended under ANSI SQL-92, but not always required

11
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What does the LIKE operator do in SQL?

It performs pattern matching using wildcards like %

12
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What is the purpose of SELECT * in SQL?

It retrieves all columns from a table, but may reduce performance if overused

13
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What are two types of comments in SQL?

Single-line (--) and block (/ ... /) comments

14
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Why are comments useful in SQL queries?

They clarify complex logic and make queries easier to maintain and share.

15
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What is an alias in SQL?

A temporary name for a table or column used to simplify query writing

16
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What does the operator <> mean in SQL?

It means "not equal to."

17
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How can SQL help identify business issues?

By enabling analysts to retrieve, filter, and interpret data patterns and outliers

18
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What does data visualization do?

It presents information graphically to make complex data easier to understand.

19
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Why is data visualization important to stakeholders?

It helps them interpret insights quickly without reading raw data.

20
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What chart types are commonly used in data visualization?

Bar charts, line graphs, and pie charts

21
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What is an attribute

A characteristic or quality of data used to label a column in a table

22
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What is an observation

The attributes that describe a piece of data contained in a row of a table