Foundations Flashcards

1
Q

What is Data Analysis?

A

the collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision-making

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2
Q

What are the 6 steps of the Data Analysis process?

A
  1. Ask
  2. Prepare
  3. Process
  4. Analyze
  5. Share
  6. Act
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3
Q

What does analytical thinking involve?

A

involves identifying and defining a problem, then solving it by using data in an organized, step-by-step manner.

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4
Q

What are the 5 key aspects of thinking analytically?

A
  1. Visualization
  2. Strategy
  3. Problem-orientation
  4. Correlation
  5. Big-picture and detail-oriented thinking
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5
Q

What are analytical skills?

A

qualities and characteristics associated with solving problems using facts

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6
Q

What are the 5 essential aspects of analytical skills?

A
  1. Curiosity
  2. Understanding context
  3. Having a technical midset
  4. Data Design
  5. Data Strategy
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7
Q

What are the 6 stages of the data lifecycle?

A
  1. Planning
  2. Capture
  3. Manage
  4. Analyze
  5. Archive
  6. Destroy
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8
Q

What is the difference between the data life cycle and data analysis cycle?

A

Data analysis is not a lifecycle; it’s a process of analyzing data. Data life cycle provides a generic/common framework for how data is managed.

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9
Q

What are 3 common data analyst tools?

A
  1. Spreadsheets
  2. Query languages for databases
  3. Visualization tools
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10
Q

What is the purpose of spreadsheets? (3)

A

To collect and organize data
Help identify pattern and piece data for each specific data project
Create data visualizations (like graphs and charts)

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11
Q

Define query language.

A

a computer programming language that allows you to retrieve and manipulate data from a database

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12
Q

What does query language help analysts do? (3)

A
  • Allow analysts to locate specific info from database(s)
  • Easier for you to learn & understand requests made to databases
  • Allow analysts to select, create add or download data from database
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13
Q

Define data visualization.

A

Graphical representation of data

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14
Q

(Spreadsheets) What are “columns” also known as?

A

Attribute

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15
Q

(Spreadsheets) What is a “row” also known as?

A

Observation

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16
Q

(SQL) What does SQL allow analysts to do?

A

SQL allows data analysts to talk to their database

17
Q

(SQL) What can SQL do?

A

SQL can store, organize, and analyze data

18
Q

SQL needs a database that understand it’s language?

19
Q

(SQL) What is a query?

A

A request for data or information from a database. When you query databases, use SQL to communicate your question/request

20
Q

What is the basic syntax of a SQL query? And what do each statement do?

A

SELECT - choose the columns you want to return
FROM - choose the tables where the columns you want are located
WHERE - to filter for certain information

21
Q

(SQL) How would you request multiple columns in query?

A

SELECT
Column A,
Column B,
Column C,

22
Q

(SQL) How would you format multiple conditions in the WHERE clause?

A

WHERE
Condition 1,
AND Condition 2,
AND Condition 3,

23
Q

(SQL) What does LIKE do?

A

allows you to tell the database to look for certain pattern

24
Q

(SQL) What is “%”?

A

Wild card. Used to match one or more characteristics.

25
(SQL) How to add a comment in a query?
Use /* text */ or -- text
26
(SQL) What does the AS clause do?
Alias: assigns a new name to a column or table names
27
(SQL) What does "<>" mean?
Does not queal
28
What do data analysts use data visualizations for?
To explain complex data quickly, reinforce data analysis, and create interesting graphs and charts
29
What are the 3 steps to plan a data visualization?
1. Explore data for patterns 2. Plan your visuals 3. Create your visuals
30
How to ensure fairness when collecting data?
Considering inclusive sample populations, social context, and self-reported data enable fairness in data collection.