Hi Tukey!
Welcome to the Tukey's data science learning resources repo. This repo contains a collection of material from several areas of Data Science.
If you want to add, modify or update a resource, the just open a pull request and one of our collaborators will take a look.
In order to divide the resources in levels, i.e. beginners, medium or hard, we have used emojis.
- 🟣 - A resource that contain material of all levels
- 🟢 - Easy level resource
- 🟡 - Medium level resource
- 🔴 - Hard level resource
Note:
If you want to contribute, you must use the previous emojis to categorize your contribution.
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Data Science from Scratch
- Computer Science
- Python
- Maths
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- SQL
A brief introduction...
Data analytics is the process of collecting, cleaning, analyzing, and visualizing data to extract meaningful information and uncover patterns.
It empowers organizations to make informed decisions, optimize operations, enhance customer experiences, and gain a competitive edge.
It is a multifaceted field that encompasses a wide range of techniques and tools. Some of the key skills and concepts in data analytics include:
Gathering data from various sources.
- SQL for beginners