Free Data Science Resources for Beginners

Repository Under Development

I'm currently learning Data Science. I build this repository for helping myself. But if it helps you anyhow, feel free to ⭐ it!

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Data Science Cheat Sheet: PDF here

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Get Started With Python: Tutorials

Python is one of the best language used by data scientist for various data science projects/application. If you're new to programming, here are some awesome free resources to get started in your Python Journey!

• Python 3 in one picture: Here
• Awesome Python: Here
• Jargon from the functional programming world in simple terms!: Here
• Dive Into Python: Here
• Learn Python Wiki on Reddit: Here
• Learn 90% of Python in 90 Minutes: Here
• Highest Voted Python Questions: Here
• Python Basic Concepts: Here
• Quick Reference to Python: Here
• The Elements of Python Style: Here
• What does the yield keyword do in Python?: Here
• Parsing values from a JSON file in Python: Here
• Python Quora FAQs: Here
• time-complexity of various operations - list/dict - in current CPython: Here
• Scripting in Python
  • Python Scripting Tutorial
  • Scripting with Python
  • Can I use Python as a bash replacement?

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Data Science with Python

• Data Science IPython Notebooks: here
• Awesome Python - Data Analysis: here
• Statistics
  • Statistics and Data Science: here
• An Introduction to Scientific Python (and a Bit of the Maths Behind It) – NumPy: here
• Data Analysis and IPython Notebooks: here
• Python for Data Science: Basic Concepts: here
• Pycon India 2015 Notes: here
• 5 important Python Data Science advancements of 2015: here
• Data Exploration with Numpy cheat sheet: here
• Querying Craiglist with Python: here
• An introduction to Numpy and Scipy: here
• Create NBA Shot Charts: here
• PythoR- Python meets R: here
• How do I learn data analysis with Python?: here
• What are some interesting things to do with Python?: here
• Which is better for data analysis: R or Python?: here
• Web scraping in Python: here
• The Guide to Learning Python for Data Science: here
• Python For Data Science - A Cheat Sheet For Beginners: here
• Top voted Python data science questions: here
• Awesome Python - Data Visualization: here
• Awesome Python - Map Reduce: here

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Data Visualization

Collection of the best libraries that I know for easy and powerful data visualizations.

• ggplot - ggplot for python ported by the team at yhat.
• matplotlib - Awesome plotting library for python.
• d3 - Mike Bostock's viz library - the de facto gold standard for polished visualization - in js, steep learning curve but beautiful outcomes.
• bokeh - Interactive visualization library.
• d3py - Another library for data viz.
• vincent - Help with python for d3.
• seaborn - Clean statistical data visualization library.

Other available Visualization Resources.

• Scott Murray's D3 Tutorials Tutorials from Interactive Data Visualization for the Web
• tributary.io - live code visualization platform designed specifically for D3.js
• plot.ly - A web visualization and data processing platform
• blockspring - Share code and visualizations through a single platform
• dot.append - Ian Johnson (enjalot) goes through several live-coding examples using D3
• Text Visualization Plots - Interactive site with different types of text visualization for different problems.

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Data Structures and Algorithms

• Java Programming

• Algorithms, Part I

• Algorithms, Part II

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Databases

Database Management Essentials

Data Warehouse Concepts, Design, and Data Integration

Relational Database Support for Data Warehouses

Business Intelligence Concepts, Tools, and Applications

Design and Build a Data Warehouse for Business Intelligence Implementation

MongoDB for Developers Learning Path

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Single Variable Calculus

Calculus 1A: Differentiation

Calculus 1B: Integration

Calculus 1C: Coordinate Systems & Infinite Series

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Linear Algebra

Essence of Linear Algebra

Linear Algebra

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Multivariable Calculus

Multivariable Calculus

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Statistics & Probability

Introduction to Probability

Intro to Descriptive Statistics

Intro to Inferential Statistics

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Data Science Tools & Methods

Tools for Data Science

Data Science Methodology

Data Science: Wrangling

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Machine Learning/Data Mining

Machine Learning

Intro to Machine Learning

Mining Massive Datasets

Process Mining

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Books That Can Help (pdfs) 📗

• R for Data Science (Just Awesome!): Go here to read online (official website)

• Data Science: Theories, Models, Algorithms and Analytics: here

• Data Science Cheat Sheet: here

• Fundamentals of Data Visualization: here

• Learning Python OOP 5th Edition O'reilly: here

• Naked Statistics_ Stripping the Dread from the Data: here

• Practical Data Science with R - Nina Zumel John Mount: here

• Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython (2017, O’Reilly): here

• Python Notes For Professionals: here

• The Data Science Handbook: here

• Pratical Statistics For Data Scientists: here

• Mathematics, Probability and Statistics: here

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Some Free Courses On Web

1. Introduction to Docker (3 hours): here

2. Scala at Light Speed (2 hours): here

3. JavaScript for Data Science: here

4. Learn Python (Codecademy): here

5. Free Interactive Course: Intro to Python for Data Science (DataCamp): here

6. Introduction to Computer Science and Programming Using Python (MIT): here

7. Python for Everybody: here

8. Python Programming Essentials: here

9. Linear Algebra (OpenCourseWare): here

10. Multivariable Calculus (OpenCourseWare): here

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Some Great Articles On Web 🔖

1. Becoming a Data Scientist – Curriculum via Metromap : here
2. 100+ Downloadable Free Machine Learning Books (Must see): here
3. Who is a Data Scientist? : here
4. Building a Data Scientist Resume : here
5. Introduction to Data Visualization in Python : here
6. An Intuitive Guide to Data Visualization in Python : here

Some Blogs to Subscribe

1. Analytics India Magazine: here
2. Data Quest: here
3. Analytics Vidhya: here
4. KDnuggets:here
5. Data Science Central: here
6. SmartData Collective: here
7. What's The Big Data?: here
8. No Free Hunch:here

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Some Awesome Repositories 📌

1. 100+ Books Collection Of Programming, Databases, Linux & Tools : here

2. Free Resources to get started with Data Science (must see): here

3. 500 + Artificial Intelligence Projects: here

4. IPython notebooks for "Python for Data Analysis": here

5. Python Machine Learning By Example(2nd Edition): here

6. Getting Started with TensorFlow: here

7. Deep Learning with Keras: here

8. Hands-On Data Science and Python Machine Learning: here

9. Learn Python by Building Data Science Applications: here

10. Data Engineer Roadmap(Must see):here

11. JavaScript for Data Science: here

12. [MUST SEE] Python Data Science Handbook: full text in Jupyter Notebooks: here
    or read book online here

13. Data Science Specialization : here

14. Data Science Projects Using Python and R : here

15. DataCamp data-science courses : here

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Contributions by awesome learners

This section includes all contributions submitted by data science learners out there -

Contributed by: @braydenq

Data Science Courses:

• Coursera - Data Science Specialization at Coursera - many other courses available as well.
• Udacity - Online MOOCs that are the Data Science related courses. by I
• Data Science Bootcamps - A collection of all bootcamps currently on the market as of April 5, 2014 by Ikechukwu Okonkwo.
• Coursera Machine Learning Course - Andrew Ng's pinnacle Machine Learning course.
• Edx - EDX courses related to data science.

If you have some good resources, please contribute to this repository :)