data sinces

1. Abdulkareem Alsudais
Prince Sattam bin Abdulaziz University

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Data Science is:

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• Simpler definition:
• Insight-focused:

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https://www.theguardian.com/technology/2014/feb/05/why-google-engineers-designers

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• Identifying patterns in information
• Using visualizations
• Quantifying whether those patterns are reliable
• Using randomization
• Making informed guesses
• Using machine learning

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By Drew Conway

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Source: https://www.pnas.org/content/early/2019/09/03/1821936116

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• Problem:
• Solution:
Control group: Group with
no changes.

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• Examples:
1. Healthcare and Public Health: How to predict COVID-19 numbers? How to detect
diseases early? Is there a relationship between social media use and depression?
2. Online advertisements: How to create ads that generate the most clicks? Targeted
ads.
3. Events planning: How to increase attendance? Best ways to promote?
4. Education: ?

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As a data scientists, you are expected to know how to:

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• Dataset:

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• What happened? How many did we sell last summer?
• Why did it happen? Why did we only sell that much last summer?
• What will it happen? How much are we going to sell next summer?
• How can we make it happen? How can we sell x number next summer?

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