Module 2 Flashcards

1
Q

What is the data analysis process?

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

What is the life cycle of data?

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

What is the plan phase in the life cycle of data? Give an example.

A

Before any analysis, businesses determine their data needs, management strategies, responsible teams, and desired outcomes.
Example: An electricity provider might plan to collect data on customer energy usage to identify savings opportunities.

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4
Q

What is the capture phase in the life cycle of data?

A

Data is gathered from various sources, such as public datasets, internal databases, or external resources, and integrated into the organization’s systems.

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5
Q

What is a database?

A

A collection of data stored in a computer system.

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6
Q

What is the manage phase in the life cycle of data?

A

This phase focuses on data care, including storage, security, maintenance, and ensuring data integrity, credibility, and privacy.

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7
Q

What is the manage phase in the life cycle of data?

A

This phase focuses on data care, including storage, security, maintenance, and ensuring data integrity, credibility, and privacy.

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8
Q

What is the analyze phase in the life cycle of data?

A

Data analysts come into play here, using the data to solve problems, make informed decisions, and support business goals, like helping customers reduce energy consumption.

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9
Q

What is the archive phase in the life cycle of data?

A

Data that is no longer actively used but may be needed in the future is stored securely and accessible.

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10
Q

What is the destroy phase in the life cycle of data?

A

When data is no longer required, it is permanently deleted following secure data erasure practices to protect sensitive information.

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11
Q

Who are stakeholders?

A

People who have invested time and resources into a project and are interested in the outcome.

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12
Q

What is the ask phase of the data analysis process?

A

Focuses on understanding the stakeholder needs and defining the core questions that the data analysis aims to answer.

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13
Q

What is the prepare phase of the data analysis process?

A

Involves identifying and gathering the right data sources that are relevant to the problem being addressed.

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14
Q

What is the process phase of the data analysis process?

A

Data analysts clean, transform, and prepare the data for analysis, ensuring completeness and accuracy. This includes handling missing values, converting data types, and addressing potential biases.

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15
Q

What is the analyze phase of the data analysis process?

A

Utilizes tools like spreadsheets and SQL to transform and organize data, enabling conclusions, predictions, and informed decisions.

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16
Q

What is the share phase of the data analysis process?

A

Effectively communicating your findings to stakeholders through clear visualizations and reports, making the data understandable and actionable.

17
Q

What is the act phase of the data analysis process?

A

Apply the insights gained from your analysis to make informed decisions, solve problems, and drive positive change.

18
Q

What is data processing?

A

Involves cleaning, understanding the data’s structure, and ensuring its quality and reliability for accurate analysis.

19
Q

What are common tools used by data analysts?

A

Spreadsheets, query languages for databases, and visualization tools.

20
Q

What are spreadsheets?

A

Spreadsheets are digital worksheets that help organize and sort data, revealing patterns and making information easy to find. They also have formulas and functions for calculations and data manipulation.

21
Q

What is a formula?

A

A set of instructions that performs a specific calculation using the data in a spreadsheet?

22
Q

What is a function?

A

A preset command that automatically performs a specific process or task using the data in a spreadsheet.

23
Q

What is a query languages? Give an example.

A

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

SQL.

24
Q

How are data visualization tools used? Give an example.

A

They transform data into graphs, maps, and tables, making it easier to understand and share insights.

Tableau and Looker.

25
Q

What is the difference between spreadsheets and databases?

A

Spreadsheets are great for organizing, cleaning, and analyzing small to medium datasets.

Databases excel at storing, managing, and analyzing large and complex datasets.