What is Data Science Flashcards

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1
Q

What is ‘Hypothesis-Driven Data Science’?

A

When you start with a hypothesis and then tries to prove or disprove that with data and evidence you find.

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2
Q

What is ‘Problem-Driven Data Science’?

A

When you start with a hypothesis or problem and then tries to prove or disprove that with data and evidence you find.

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3
Q

What is ‘Data-Driven Data Science’?

A

We have a data set and want to find new insights from that data.

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4
Q

What does it mean to ‘Frame the problem’?

A

To translate the ambiguous problem into a well-defined problem.

And Identify business priorities & strategy decisions that will influence your work

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5
Q

What are the steps of processing the data?

A

Examine Data at High-Level:
- Understand every column; Identify errors, missing values & corrupt records.

Clean the data:
- Throw away, replace, and or filter corrupt/faulty and missing values.

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6
Q

What does the step of performing In-Depth Analysis on the data involve?

A

In-Depth Analysis
Create a predictive model:

Evaluate and Refine Model
- Perhaps return to step of exploring, examining and cleaning the data

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7
Q

Definition of data science

A

Data Science is an application of scientific methods and principles to data processing. - Henrik Strøm

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8
Q

Framing the problem is the most important step in Data Science. How do you do it accurately

A

First of all, make sure you are asking a relevant question.

Put your question is put into a relevant context

Ask if the question can be answered with the resources you have

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9
Q

What is the process of collecting raw data?

A

Identify available datasets and then

extracting to a usable format. e.g .csv

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10
Q

What does the process of exploring the data involve?

A

Play around with the data:
- Split, segment and plot data in different ways.

Identify patterns and Extract features:
- Use statistics to identify & test significant variables.

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11
Q

What does the process of communicating the results involve?

A

Identify Business Insights
- Return back to the business problem

Visualize your findings
-Keep it simple and priority-driven

Tell a clear and actionable story
Effectively communicate to non-technical audiences

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