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
What is data?
a collection of facts
26
What is data?
a collection of facts.
27
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
Curiosity
28
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
Understandin context
29
These are the Key Data analyst skills: what is number 1? 1. Curiosity 2. Understanding context 3. \_\_\_?\_\_\_ 4. data design 5. data strategy
having a technical mindset
30
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
data design
31
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. \_\_\_?\_\_\_
data strategy
32
what is data strategy?
the management of the people, processes and tools used in data analysis
33
Define a technical mindset:
The ability to break things down into smaller steps or pieces and work with them in a orderly and logical way.
34
Define context:
the condition in which something exists or happens
35
define Data design:
How you organize information
36
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 .
Making sure the people involved understand know how to use the data available
37
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 .
making the process,the path, clear and accessible
38
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. \_\_\_?\_\_\_
making sure the tools provided are in working and functional .
39
Define Analytical thinking:
Identifying and defining a problem and then solving it by using data in an organized, step by step manner.
40
Analytical Thinking: what is missing? \_\_\_?\_\_\_ and defining a problem and then solving it by using data in an organized, step-by-step manner.
identifying
41
Analytical Thinking: what is missing? Identifying and \_\_\_?\_\_\_ a problem and then solving it by using data in an organized, step-by-step manner.
defining
42