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Coursera: Data, Data, Everywhere. > Week 1 / Understanding the data ecosystem > Flashcards

Week 1 / Understanding the data ecosystem Flashcards

1
Q

Data alone will never be as powerful as data combined with ……?

A

human experience, observation, and sometime intuition. Why?

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2
Q

How is Data-driven decision making defined?

A

it is difined as using facts to guide buisness strategy.

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3
Q

Data alone will never be as powerful as data combined with ……?

A

human experience, observation, adn sometime intuition.

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4
Q

Fill in the blanks :

Data ecosystems:

are the various ele______ that interact with one an____ in order to produce, ____age, store, ____nize, analyze, and _____ data.

A

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

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5
Q

What is data science ?

A

it is creating new ways of modeling and understanding the unkown by using raw data.

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6
Q

Fill in the blanks :

Data ecosystems:

are the various elements that ____act with one another in order to _____ce, manage, sto__ , organize, ____ze, and ___re data.

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 alone will never be as powerful as data combined with ……?

A

human experience, observation, adn sometime intuition. Why?

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8
Q

What is data analyst ?

A

someone who finds answers to exiting questions by creating insights from data sources.

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9
Q

Data alone will never be as powerful as data combined with ……?

A

human experience, observation, adn sometime intuition.

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10
Q

what is an ecosystem?

A

a group of elemets taht interact with one another.

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11
Q

What is the cloud?

A

the cloud is the a place to keep data online , rather than on a harddrive.

the cloud is just a term to descibe the virtual location.

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12
Q

What is the first step of data driven dicision makeing?

A

figuring out the business need.

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13
Q

an example of a store database would include the following:

what is the fourth one?

  1. Customer names
  2. addresses
  3. previous purchases
  4. _________
A

Customer reviews

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14
Q

Fill in the blanks :

Data ecosystems:

are the various ele______ that interact with one an____ in order to produce, ____age, store, ____nize, analyze, and _____ data.

A

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

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15
Q

Data alone will never be as powerful as data combined with ……?

A

human experience, observation, adn sometime intuition.

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16
Q
A
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17
Q

Fill in the blanks :

Data ecosystems:

are the various elements that ____act with one another in order to _____ce, manage, sto__ , organize, ____ze, and ___re data.

A

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

18
Q

Data alone will never be as powerful as data combined with ……?

A

human experience, observation, adn sometime intuition.

19
Q

what is an ecosystem?

A

a group of elemets taht interact with one another.

20
Q

One of the most powerful ways to put data to work is through ….?

A

data driven dicision making

21
Q

To get the most out of the data-driven dicision making it is important to include ….?

A

people who are familiar with the business problem.

22
Q

People that are familiar with the business problem are called…?

A

Subject matter experts.

23
Q

What is Data analytics?

A

the science of data

24
Q

what is a dataset?

A

A collection of data that can be used to manipulate or analyzed as one unit.

25
Q

What is data?

A

a collection of facts

26
Q

What is data?

A

a collection of facts.

27
Q

These are the Key Data analyst skills:

what is number 1?

  1. Curiosity
  2. Understandin context
  3. having a technical mindset
  4. data design
  5. data strategy
A

Curiosity

28
Q

These are the Key Data analyst skills:

what is number 1?

  1. Curiosity
  2. ___?___
  3. having a technical mindset
  4. data design
  5. data strategy
A

Understandin context

29
Q

These are the Key Data analyst skills:

what is number 1?

  1. Curiosity
  2. Understanding context
  3. ___?___
  4. data design
  5. data strategy
A

having a technical mindset

30
Q

These are the Key Data analyst skills:

what is number 1?

  1. Curiosity
  2. Understanding context
  3. Having a technical mindset
  4. ___?___
  5. data strategy
A

data design

31
Q

These are the Key Data analyst skills:

what is number 1?

  1. Curiosity
  2. Understanding context
  3. Having a technical mindset
  4. Data design
  5. ___?___
A

data strategy

32
Q

what is data strategy?

A

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

33
Q

Define a technical mindset:

A

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

34
Q

Define context:

A

the condition in which something exists or happens

35
Q

define Data design:

A

How you organize information

36
Q

Here are the steps to a data strategy:

what is the 1st step?

  1. ___?___
  2. making the process,the path, clear and accessible
  3. making sure the tools provided are in working and functional .
A

Making sure the people involved understand know how to use the data available

37
Q

Here are the steps to a data strategy:

what is the 2st step?

  1. Making sure the people involved understand know how to use the data available
  2. ___?___
  3. making sure the tools provided are in working and functional .
A

making the process,the path, clear and accessible

38
Q

Here are the steps to a data strategy:

what is the 3rd step?

  1. Making sure the people involved understand know how to use the data available
  2. making the process, path, clear and accessible.
  3. ___?___
A

making sure the tools provided are in working and functional .

39
Q

Define Analytical thinking:

A

Identifying and defining a problem and then solving it by using data in an organized, step by step manner.

40
Q

Analytical Thinking:

what is missing?
___?___ and defining a problem and then solving it by using data in an organized, step-by-step manner.

A

identifying

41
Q

Analytical Thinking:

what is missing?
Identifying and ___?___ a problem and then solving it by using data in an organized, step-by-step manner.

A

defining

42
Q
A

Coursera: Data, Data, Everywhere. (5 decks)

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