Course 1: Foundations: Data, Data, Everywhere Flashcards

1
Q

Data

A

A collection of facts

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2
Q

Data Analysis

A

A collection, transformation and organization of data, to draw conclusions make predictions and drive informed decision making

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3
Q

Data Analyst

A

Someone who collects, transforms, and organizes data in order to drive informed decision-making

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4
Q

Data Analytics

A

The science of data

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5
Q

Data-driven decision-making

A

Using facts to guide business strategy

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6
Q

Data ecosystem

A

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

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7
Q

Data science

A

A field of study that uses raw data to create new ways of modelling and understanding the unknown

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8
Q

Dataset

A

A collection of data that can be manipulated or analyzed as one unit.

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9
Q

Analytical skills

A

: Qualities and characteristics associated with using facts to solve problems.

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10
Q

Analytical Thinking

A

The process of identifying and defining a problem, then solving it by using
data in an organized, step-by-step manner

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11
Q

Context

A

The condition in which something exists or happens

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12
Q

Gap Analysis

A

A method for examining and evaluating the current state of a process in order to
identify opportunities for improvement in the future

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13
Q

Root Cause

A

The reason a problem occurs.

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14
Q

Technical Mindset

A

The ability to break things down into smaller steps or pieces and work with
them in an orderly and logical way

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15
Q

Visualization

A

Refers to data visualization.

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16
Q

6 Stages of Data Lifecycle

A
  1. Plan
  2. Capture
  3. Manage
    4: Analyze
  4. Archive
  5. Destroy
17
Q

Plan

A

Decide what kind of data is needed, how it will be managed, and who will be responsible for it.

18
Q

Capture

A

Collect or bring in data from a variety of different sources.

19
Q

Analyze

A

Use the data to solve problems, make decisions, and support business goals.

20
Q

Archive

A

Keep relevant data stored for long-term and future reference.

21
Q

Destroy

A

Remove data from storage and delete any shared copies of the data.

22
Q

Data Strategy

A

The management of the people, processes and tools of in data analysis

23
Q

Database

A

A collection of datastored in a computer system

24
Q

Formula

A

A set of instructions used to perform a calculation using data in a spreadsheet

25
Function
A preset command that automatically performs a specified process or task using the data in a spreadsheet
26
Query Language
a computer programming language used to communicate with a database
27
Stakeholders
people who invest time and resources into a project and are interested in its outcomes
28
Syntax to SQL Qeuries
The syntax of every SQL query is the same: Use SELECT to choose the columns you want to return. Use FROM to choose the tables where the columns you want are located. Use WHERE to filter for certain information.
29
SELECT Syntax
Use SELECT to choose the Columns you want to return
30
FROM Syntax
Use From to choose the tables where the columns you want are located
31
WHERE Syntax
Use Where to Filter for Certain Information
32
Attribute
A characteristic or quality of data used to label a column in a table
33
Data Design
How information is organized
34
Data Driven Decision-Making
Using facts to driven business strategy
35
Data Visualization
The graphical representation of data
36
Observation
Observation: The attributes that describe a piece of data contained in a row of a table
37
Query
A request for data information from a table