Into to Data Analytics Flashcards

1
Q

Develops & maintains data architectures

A

Data Engineer

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2
Q

Converts raw data into usable data

A

Data Engineer

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3
Q

Translates data and numbers into plain language

A

Data Analyst

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4
Q

Identifies correlations, finds patterns, and applies statistical methods to analyze and mine data

A

Data Analyst

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5
Q

Uses the data derived from Data Engineers to generate insight

A

Data Analyst

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6
Q

Trains on past data to create predictive models

A

Data Scientist

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7
Q

Uses data from Data Analytics & Data Engineers to predict the future using data from the past

A

Data Scientist

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8
Q

Answers the questions “Are the users search experiences generally good or bad with the search functionality on our site?”

A

Data Analyst

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9
Q

Answers the questions “What percentage of my customers am I likely to lose to competition in the next quarter?”

A

Data Scientist

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10
Q

Leverages the work of Data Analytics and Data Scientists to look at the possible implications for their business and the actions they need to take or reccomend

A

Business Analyst

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11
Q

Focuses on market forces & external influences. Also, explores data to extract insights & actionables that improves business performance

A

BI Analyst

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12
Q

The process of gathering, cleaning, analyzing, and mining data

A

Data Analysis

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13
Q

“What Happened”

Provides insight into past events

A

Descriptive Analytics

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14
Q

“Why did it happen”

Takes insight from Descriptive Analytics to dig deeper to find the cause of the outcome

A

Diagnostic Analytics

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15
Q

“What will happen next”

Leverages historical data and trends to predict future outcomes

A

Predictive Analytics

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16
Q

“What should be done about it”

Analyzes past decisions & events to estimate the likelihood of different outcomes

A

Prescriptive Analytics

17
Q

What are the 7 processes of Data Analysis

A
  • Understanding the problem & desired result
  • Setting a clear metric
  • Gathering data
  • Cleaning Data
  • Analyzing and Mining Data
  • Interpreting Results
  • Presenting your Findings
18
Q

The systematic computational analysis of data and statistics

-Based on historical data

A

Analysis

19
Q

The systematic computational analysis of data or statistics

-Predicting the future of performance

A

Analytics

20
Q

Where raw data is staged so it can be organized, cleaned, and optimized for use by end-users

A

Enterprise Data Environment

21
Q

Business stakeholders, analysts, and programmers who consume data for various purposes are considered?

A

End-Users

22
Q

What are the 3 emerging technologies that are reshaping the data ecosystem?

A
  • Cloud Computing
  • Machine Learning
  • Big Data
23
Q

What are the 4 primary types of Data Analysis?

A
  • Descriptive Analytics
  • Diagnostic Analytics
  • Predictive Analytics
  • Prescriptive Analytics
24
Q

Helps decode “what happened”

A

Descriptive Analytics

25
Q

Helps us understand “why it happend”

A

Diagnostic Analytics

26
Q

Analyzes historical data and trends to suggest “what will happen next”

A

Predictive Analytics

27
Q

“What should be done next”

A

Prescriptive Analytics