Data Science Questions and Hypotheses

[TheJonathan]

Data Science Questions and Hypotheses
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 31M | 77 MB
Genre: eLearning | Language: English

Why does a data scientist need to ask questions? How are questions essential in forming your strategy in a data science project? What are hypotheses and how are they formed? How do you go about testing a hypothesis? These questions and more are tackled in this video, along with some supplementary information about the data science process and the various subtleties of the craft that no artificial intelligence, no matter how sophisticated, can tackle (at least for the time being).

We will cover:
The importance of questions in data science
The limitations of artificial intelligence in its contribution to data science
How the human factor can enhance the data science process by complementing the tools we use
The value of hypotheses in data science
The types of questions we ask in data science
Forming a hypothesis
Proving and disproving a hypothesis
Constructing an experiment to test a hypothesis
Evaluating the experimental results
Answering a question with confidence
Sensitivity analysis
Big Data to the rescue and the value of careful sampling

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