/Learning-resources

Just a collection to learn about Data Science

Data Science Learning Resources

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.

How to contribute?

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.

How complex is the resource?

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.

Table of contents

  1. Data Science from Scratch

    • Computer Science
    • Python
    • Maths

  2. Data Analytics

    • SQL

Data Science from Scratch

A brief introduction...

Data Analytics

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:

Data collection

Gathering data from various sources.