Data Science Course > Hypothesis Testing

Testing Example in Data Science

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The basic goal of statistics is to prove or disprove a theory:

  • For example, you might conduct research and discover that a particular medicine is useful in the treatment of headaches. No one will believe your findings if you can't repeat the experiment.

Some of the benefits of using Data Science testing include:

  • Informing decisions about product development
  • Increasing customer engagement with products and services
  • Identifying market segments to target with new products or features

Yes, there is. Several data science methodologies (statistics, data mining, web scraping) and programming languages (R, Python) can be applied to software testing as well. Data science and software testing are both empirical research attempting to solve a specific topic.

  • Asking a Question and Researching.
  • Making and Challenging Your Hypothesis.
  • Revising Your Hypothesis.
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Learner's Ratings

4.4

Overall Rating

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V
vaibhav
5

best

A
Anjali
5

Excellent explanation

A
ashif mahiboob yadwad
5

Very good

S
SHAIKH TOHEED
5

good but practical knowledge not perfect

P
PUSHPAK DILLIP MALI
4

The content and teaching style is excellent. But there is slight issue is that video quality is kind of poor the dashboard is blur on 720mp on PC.

S
Sayali Jadhav
4

Very useful all data

S
Syed Mohammad Qaiser Rizvi
5

Way of teaching is very good. I want to get PPT which he is using to teach us ?

A
Anuja Bagadi
5

It is a very interactive and useful course..

K
Kashinath Myakale
5

All courses is very useful for which are looking free courses and gaining knowledge

A
ANKiT KUMAR BAMNiYA
4

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