Data Analysis Course Latest Q&As
Data - ANS-A collection of facts.
Data Analysis - ANS-The collection, transformation, and organization of data in order to
draw conclusions, make predictions, and drive informed decision making.
Data Analyst - ANS-Someone who collects, transforms, and organizes data in order to
help make informed decisions.
Data Analytics - ANS-Science of data.
After analysts have created insights from data, what happens? - ANS-Those insights
are shared with others, decisions are made, and businesses take actions.
People Analytics - ANS-The practice of collecting and analyzing data on the people who
make up a company's workforce in order to gain insights to improve how the company
operates.
6 Steps of Analysis Process - ANS-Ask, Prepare, Process, Analyze, Share, and Act.
Decision Intelligence - ANS-A combination of applied data science and the social and
managerial sciences.
Data science encompasses 3 disciplines: - ANS-machine learning, statistics, and
analytics.
What is the data ecosystem? - ANS-Made up of various elements that interact with one
another in order to produce, manage, store, organize, analyze, and share data.
The ________ is a place to keep data online, rather than on a computer hard drive. -
ANS-cloud
Data Science - ANS-Creating new ways of modeling and understanding the unknown by
using raw data
Data Scientists vs. Data Analysts - ANS-Data scientists create new questions using
data, while analysts find answers to existing questions by creating insights from data
, sources.
Data Driven Decision Making - ANS-Using facts to guide business strategy.
What is the first step of data driven decision making? - ANS-Figuring out what
businesses need (usually problem solving).
To get the most out of data driven decision making, it's important to include insights from
_____________. - ANS-Subject matter experts (people who are familiar with the
business problem).
What do subject matter experts have the ability to do? - ANS-They have the ability to
look at the results of data analysis and identify any inconsistencies, make sense of gray
areas, and eventually validate choices being made.
Gut Instinct - ANS-An intuitive understanding of something with little or no explanation.
Data Analysis Life Cycle - ANS-The process of going from data to decision.
Analytical Skills - ANS-Qualities and characteristics associated with solving problems
using facts.
5 essential data analysis skills - - ANS-curiosity, understanding context, having technical
mindset, data design, and data strategy
Curiosity - ANS-Wanting to learn something
Understanding Context - ANS-Context is the condition in which something exists or
happens. Can be structure or environment. (How you group things)
Technical Mindset - ANS-The ability to break things down into smaller steps or pieces
and work with them in an orderly and logical way.
Data Design - ANS-How you organize information (ex: contacts in your phone)
Data Strategy - ANS-The management of the people, processes, and tools used in data
analysis.
Analytical Thinking - ANS-Involves identifying and defining a problem and then solving it
by using data in an organized, step-by-step manner.
Data - ANS-A collection of facts.
Data Analysis - ANS-The collection, transformation, and organization of data in order to
draw conclusions, make predictions, and drive informed decision making.
Data Analyst - ANS-Someone who collects, transforms, and organizes data in order to
help make informed decisions.
Data Analytics - ANS-Science of data.
After analysts have created insights from data, what happens? - ANS-Those insights
are shared with others, decisions are made, and businesses take actions.
People Analytics - ANS-The practice of collecting and analyzing data on the people who
make up a company's workforce in order to gain insights to improve how the company
operates.
6 Steps of Analysis Process - ANS-Ask, Prepare, Process, Analyze, Share, and Act.
Decision Intelligence - ANS-A combination of applied data science and the social and
managerial sciences.
Data science encompasses 3 disciplines: - ANS-machine learning, statistics, and
analytics.
What is the data ecosystem? - ANS-Made up of various elements that interact with one
another in order to produce, manage, store, organize, analyze, and share data.
The ________ is a place to keep data online, rather than on a computer hard drive. -
ANS-cloud
Data Science - ANS-Creating new ways of modeling and understanding the unknown by
using raw data
Data Scientists vs. Data Analysts - ANS-Data scientists create new questions using
data, while analysts find answers to existing questions by creating insights from data
, sources.
Data Driven Decision Making - ANS-Using facts to guide business strategy.
What is the first step of data driven decision making? - ANS-Figuring out what
businesses need (usually problem solving).
To get the most out of data driven decision making, it's important to include insights from
_____________. - ANS-Subject matter experts (people who are familiar with the
business problem).
What do subject matter experts have the ability to do? - ANS-They have the ability to
look at the results of data analysis and identify any inconsistencies, make sense of gray
areas, and eventually validate choices being made.
Gut Instinct - ANS-An intuitive understanding of something with little or no explanation.
Data Analysis Life Cycle - ANS-The process of going from data to decision.
Analytical Skills - ANS-Qualities and characteristics associated with solving problems
using facts.
5 essential data analysis skills - - ANS-curiosity, understanding context, having technical
mindset, data design, and data strategy
Curiosity - ANS-Wanting to learn something
Understanding Context - ANS-Context is the condition in which something exists or
happens. Can be structure or environment. (How you group things)
Technical Mindset - ANS-The ability to break things down into smaller steps or pieces
and work with them in an orderly and logical way.
Data Design - ANS-How you organize information (ex: contacts in your phone)
Data Strategy - ANS-The management of the people, processes, and tools used in data
analysis.
Analytical Thinking - ANS-Involves identifying and defining a problem and then solving it
by using data in an organized, step-by-step manner.
