Concepts Flashcards

(69 cards)

1
Q

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

A

Data Analysis

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2
Q

What are the six steps of the data analysis process?

A
Ask
Prepare
Process
Analyze
Share
Act
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3
Q

The various elements that interact with one another to produce, manage, store, organize, analyze and share data.

A

Data Ecosystem

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4
Q

The graphical representation of information.

A

Visualization

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5
Q

A method for examining and calculating how a process works currently in order to get where you want to be in the future

A

Gap Analysis

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6
Q

What is the life cycle of data?

A
Plan 
Capture 
Manage
Analyze 
Archive 
Destroy
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7
Q

A collection of data stored in a computer system

A

Database

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8
Q

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

A

Stakeholders

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9
Q

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

A

Attribute

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10
Q

All of the attributes for something contained in a row of a data table

A

Observation

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11
Q

A unique set of guidelines for a programming language

A

Syntax

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12
Q

What is the basic SQL structure?

A

SELECT [choose from the column you want]
FROM [from the appropriate table]
WHERE [a certain condition is met]

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13
Q

The process of recognizing the current problem or situation, organizing available information, revealing gaps and opportunities, and identifying the options

A

Structured thinking

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14
Q

The specific and objective measures of numerical facts. This is often the what, how many, and how often about a problem.

A

Quantitative data

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15
Q

Subjective or explanatory measures of qualities and characteristics or things that can’t be measured with numerical data. Used to answer why questions

A

Qualitative data

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16
Q

A static collection of data given to stakeholders periodically.

A

Report

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17
Q

Monitors live incoming data

A

Dashboard

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18
Q

A data summarization tool that is used to summarize, sort, recognize, group, count, total or average data stored in a database

A

Pivot table

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19
Q

A single quantifiable type of data that can be used for measurement.

A

Metric

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20
Q

What are the metrics used in ROI (Return on Investment)?

A

Profit and Investments

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21
Q

What are the types of dashboards?

A

Strategic- focuses on long term goals and strategies at the highest level of metrics
Operational- short term performance tracking and intermediate goals
Analytical- consists of the datasets and the mathematics used in those sets

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22
Q

Something made up of specific metrics over a short, well-defined period of time and used to make day-to-day decisions.

A

Small data

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23
Q

Large less specific datasets covering a long period of time and usually have to be broken down and analyzed.

A

Big data

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24
Q

A collection of two or more cells

A

Range

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25
An agreed upon outline of the work you're going to perform on a project
Scope of Work (SOW)
26
What is the format of SOW
Deliverables Milestones Timeline Reports
27
Small files stored on computers that contain information about users
Cookies
28
Data collected by an individual or group using their own resources
First-party data
29
Data collected by a group directly from its audience and then sold
Second-party data
30
Data collected from outside sources who did not collect it directly.
Third-party data
31
Part of a population that is representative of the population
Sample
32
Data that is counted and has a limited number of values.
Discrete data
33
Data that can be measured using a timer and its value can be shown as a decimal with several spaces.
Continuous data
34
A type of qualitative data that is categorized without a set order
Nominal data
35
A type of qualitative data with a set order or scale
Ordinal data
36
Data that lives within a company's own systems
Internal data
37
Data that lives and is generated outside of an organization
External data
38
Data that is organized in a certain format, such as rows and columns.
Structured data
39
A model that is used for organizing data elements and how they relate to one another.
Data model
40
A data model that gives you a high-level view of your data structure, such as how you want the data to interact across an organization.
Conceptual data model
41
A data model that focuses on the technical details of the model such as relationships, attributes and entities
Logical data model
42
A data model that depicts how the database was built; laying out how each database will be put in place and how the databases., applications and features will interact in specific detail
Physical data modeling
43
A specific kind of data attribute that tells what kind of value the data is.
Data type
44
What are examples of data types in spreadsheets?
number boolean text or string
45
The process of changing the data's format, structure or values.
Data transformation
46
The tendency for different people to observe things differently.
Observer bias
47
The tendency to always interpret ambiguous situations in a positive or negative way
Interpretation bias
48
The tendency to search for or interpret information in a way that confirms preexisting beliefs
Confirmation bias
49
Well-founded standards of right and wrong that dictate how data is collected, shared and used
Data ethics
50
What are some aspects of data ethics?
``` Ownership Transaction Transparency Consent Currency Privacy Oppenness ```
51
The process of protecting people's private or sensitive data by eliminating PII (personally identifiable information)
Data Anonymization
52
Data about data, it tells you where the data comes from, when and how it was created and what it is all about
Metadata
53
A database that contains a series of tables that can be connected to form a relationship
Relational Database
54
An identifier that references a column in which each value is unique
Primary key
55
A field within a table that is a primary key in another table
Foreign key
56
A database in which only related data is stored in each table
Normalized database
57
A way of describing the way something is organized
Schema
58
The process of storing data in multiple locations
Data replication
59
The process of copying data from a storage device to memory or from one computer to another.
Data transfer
60
Changing data to make it more organized and easier to read
Data manipulation
61
The difference between the sample results and the results if you surveyed the entire population.
Margin of error
62
The term for how confident you are in the survey results
Confidence level
63
The range of possible values that the population's results would be at, the confidence level of the study
Confidence interval
64
The determination of whether your results could be due to random chance or not.
Statistical significance
65
An indication that a value does not exist in a dataset
Null
66
A tool for checking the accuracy and quality of data before adding or importing it.
Data validation
67
The process of combining two or more datasets into a single dataset
Data merging
68
A file containing a chronologically ordered list of modifications made to a project
Changelog
69
A process to confirm that data-cleaning effort was well executed and the resulting data is accurate and reliable
Verification