Data Analytics > What Is Data Analytics > Flashcards

What Is Data Analytics Flashcards

AI & Data Analytics Course (69 cards)

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1
Q

What is data?

A

Structured pieces of information that you collect and keep up to date

Data can be examined to help formulate answers to questions.

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2
Q

True or false: Data must be collected and stored to answer business questions.

A

TRUE

Without relevant data, it is impossible to derive meaningful insights.

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3
Q

What is the purpose of organizing data in a business?

A

To store and retrieve all the data effectively

Organized data allows for efficient access to information needed for decision-making.

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4
Q

What is the definition of Data?

A

Facts, figures, and information

Data needs to be collected, processed, and analyzed before use.

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5
Q

What is the purpose of data analytics in business?

A

To drive strategic decision-making

Data analytics helps organizations make informed decisions based on data insights.

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6
Q

Name the types of data analytics.

A
  • Descriptive
  • Diagnostic
  • Predictive
  • Prescriptive

Each type serves a different purpose in analyzing data.

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7
Q

What does descriptive analytics do?

A

Summarizes past data

It provides insights into historical performance.

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8
Q

What is the goal of diagnostic analytics?

A

Understand why it happened

It analyzes past data to identify causes of events.

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9
Q

What does predictive analytics involve?

A

Statistical models to forecast future predictions

It uses historical data to make informed predictions about future outcomes.

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10
Q

What is the purpose of prescriptive analytics?

A

Suggest actions to take

It provides recommendations based on data analysis.

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11
Q

What is the role of a Data Analyst?

A

Decides which questions to be asked

Data Analysts focus on identifying the business problem to guide data exploration.

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12
Q

What does a Data Scientist do?

A

Answers questions based on existing data

Data Scientists utilize data to derive insights and solutions.

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13
Q

What is a key responsibility of a Data Practitioner?

A

Understand the business problem

Data Practitioners play a crucial role in framing the data analysis context.

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14
Q

What are some skills required for data-related roles?

A
  • Creative
  • Patient
  • Persistent
  • Diligent
  • Focused
  • Inquisitive

These skills help professionals navigate complex data challenges.

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15
Q

Define data analysis.

A

The process of inspecting, cleansing, transforming, and modeling data to discover useful information.

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16
Q

What is the purpose of data visualization?

A

To represent data graphically, making it easier to identify patterns, trends, and insights.

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17
Q

Define business intelligence.

A

Technologies and strategies used by enterprises for data analysis of business information.

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18
Q

What is Structured Data?

A

Organized, stored in a defined format

Typically found in relational databases.

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19
Q

What is Unstructured Data?

A

Not defined, lacks a specific format

Examples include text, images, and videos.

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20
Q

What is Semi-structured Data?

A

Some organizational properties, not fully structured

Examples include XML and JSON files.

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21
Q

Define qualitative data.

A

Data that describes qualities or characteristics, often non-numeric.

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22
Q

Define quantitative data.

A

Data that can be measured and expressed numerically.

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23
Q

True or false: Nominal data can be ordered.

A

FALSE

Nominal data includes categories like gender or color without any ranking.

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24
Q

What is ordinal data?

A

Data that can be ordered but does not have a consistent difference between values.

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25
Fill in the blank: **Interval data** has no _______ point.
True zero
26
What is **ratio data**?
Data with a true zero point, allowing for meaningful comparisons.
27
Define **discrete data**.
Data that can only take specific values, often counted.
28
Define **continuous data**.
Data that can take any value within a given range.
29
True or false: **Time series data** is collected at irregular intervals.
FALSE ## Footnote Time series data is collected at consistent intervals over time.
30
What is **cross-sectional data**?
Data collected at a single point in time across multiple subjects.
31
Fill in the blank: **Primary data** is collected _______ for a specific purpose.
Directly
32
What is **secondary data**?
Data previously collected for another purpose but used for a new analysis.
33
True or false: **Big data** refers to data sets that are small in size.
FALSE ## Footnote Big data typically involves large volumes of complex data.
34
What is **metadata**?
Data that provides information about other data, such as its source or format.
35
Fill in the blank: **Text data** is often analyzed using _______ analysis.
Sentiment
36
What is **geospatial data**?
Data that is associated with geographic locations.
37
Define **time-series data**.
Data points collected or recorded at specific time intervals.
38
What is **data visualization**?
The graphical representation of information and data.
39
Fill in the blank: **Survey data** is often collected through _______.
Questionnaires
40
What is **experimental data**?
Data collected through controlled experiments to test hypotheses.
41
Define **observational data**.
Data collected by observing subjects in their natural environment.
42
True or false: **Qualitative data** can be analyzed statistically.
FALSE ## Footnote Qualitative data is typically analyzed through thematic analysis.
43
Define **data lifecycle**.
The series of stages that data goes through from creation to deletion.
44
What is the **first stage** of the data lifecycle?
Data creation or generation.
45
True or false: **Data storage** is a stage in the data lifecycle.
TRUE
46
Fill in the blank: **Data** is often analyzed during the _______ stage.
Processing
47
What does **data maintenance** involve?
Updating, cleaning, and ensuring data accuracy and integrity.
48
Define **data archiving**.
The process of moving inactive data to a separate storage for long-term retention.
49
What is the **final stage** of the data lifecycle?
Data deletion or disposal.
50
True or false: **Data sharing** is part of the data lifecycle.
TRUE
51
What is **data governance**?
The management of data availability, usability, integrity, and security.
52
Fill in the blank: **Data** should be _______ regularly to ensure accuracy.
Reviewed
53
What is the purpose of **data classification**?
To categorize data based on its sensitivity and importance.
54
Define **data retention policy**.
A guideline that dictates how long data should be kept and when it should be deleted.
55
What is meant by **data lifecycle management**?
Strategies and policies to manage data throughout its lifecycle.
56
True or false: **Data processing** occurs after data collection.
TRUE
57
What is **data quality**?
The condition of data based on factors like accuracy, completeness, and reliability.
58
Fill in the blank: **Data** is often visualized during the _______ stage.
Analysis
59
What is the role of **metadata** in the data lifecycle?
Metadata provides information about the data, enhancing its usability.
60
Define **data security**.
Measures taken to protect data from unauthorized access and breaches.
61
What does **data disposal** entail?
The secure deletion of data that is no longer needed.
62
True or false: **Data sharing** can enhance collaboration.
TRUE
63
What is the purpose of **data auditing**?
To assess the quality and compliance of data management practices.
64
Fill in the blank: **Data** must be _______ to comply with regulations.
Protected
65
What is **data integration**?
The process of combining data from different sources for a unified view.
66
Define **data lifecycle stages**.
The distinct phases data undergoes: creation, storage, usage, sharing, archiving, and deletion.
67
What is the significance of **data ethics**?
Ensuring responsible use of data, respecting privacy and consent.
68
True or false: **Data visualization** aids in understanding complex data.
TRUE
69
What is **data transformation**?
The process of converting data into a suitable format for analysis.
Data Analytics
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