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A collection of useful links and resources for beginner data scientists

Home Page:https://wanjiru517.github.io/Resources/

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DATA SCIENCE RESOURCES

One thing we have to embrace in the 21st Century is the reality that we will never stop learning. This applies for everyone interested in data science. In case you haven't figured it out, data science is an umbrella term for a blend of skills related to working with data to deliver business value. Before I share the learning resources, I feel it's better to define a few things.

Who is a Data Scientist?

According to SAS, data scientists are a new breed of analytical data expert who have the technical skills to solve complex problems – and the curiosity to explore what problems need to be solved. They’re part mathematician, part computer scientist and part trend-spotter. And, because they straddle both the business and IT worlds, they’re highly sought-after and well-paid. Who wouldn’t want to be one?

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The Lifecycle

The Data Science lifecycle is a key component in defining the various roles and skills required when working with data. It is well summarized in the CRISP-DM framework which is commonly used when working on data science projects.

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Job Possibilities

From the lifecycle come various responsibilities and jobs that a data scientist can specialize in.

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Required Skills

The following are the must have skills per job role. Also I have to put a discalimer. This list is in no way exhaustive or representative of company expectations. So it's good to know something about each field.

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Finally, where to start.

Data Science and AI Beginner kit The good news is there are a lot of free learning resources. I have a precompiled list of platforms where you can learn all about Data Science, Machine Learning, Deep Learning, Computer Vision and AI. FREE LEARNING RESOURCES.pdf

BONUS LINKS

Community based resources
Project based resources
Books and articles

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A collection of useful links and resources for beginner data scientists

https://wanjiru517.github.io/Resources/