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!
Data Science Cheat Sheet: PDF here
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
- 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
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.
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
Calculus 1C: Coordinate Systems & Infinite Series
Intro to Descriptive Statistics
Intro to Inferential Statistics
-
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
-
Introduction to Docker (3 hours): here
-
Scala at Light Speed (2 hours): here
-
JavaScript for Data Science: here
-
Learn Python (Codecademy): here
-
Free Interactive Course: Intro to Python for Data Science (DataCamp): here
-
Introduction to Computer Science and Programming Using Python (MIT): here
-
Python for Everybody: here
-
Python Programming Essentials: here
-
Linear Algebra (OpenCourseWare): here
-
Multivariable Calculus (OpenCourseWare): here
- Becoming a Data Scientist – Curriculum via Metromap : here
- 100+ Downloadable Free Machine Learning Books (Must see): here
- Who is a Data Scientist? : here
- Building a Data Scientist Resume : here
- Introduction to Data Visualization in Python : here
- An Intuitive Guide to Data Visualization in Python : here
- Analytics India Magazine: here
- Data Quest: here
- Analytics Vidhya: here
- KDnuggets:here
- Data Science Central: here
- SmartData Collective: here
- What's The Big Data?: here
- No Free Hunch:here
-
100+ Books Collection Of Programming, Databases, Linux & Tools : here
-
Free Resources to get started with Data Science (must see): here
-
500 + Artificial Intelligence Projects: here
-
IPython notebooks for "Python for Data Analysis": here
-
Python Machine Learning By Example(2nd Edition): here
-
Getting Started with TensorFlow: here
-
Deep Learning with Keras: here
-
Hands-On Data Science and Python Machine Learning: here
-
Learn Python by Building Data Science Applications: here
-
Data Engineer Roadmap(Must see):here
-
JavaScript for Data Science: here
-
[MUST SEE] Python Data Science Handbook: full text in Jupyter Notebooks: here
or read book online here -
Data Science Specialization : here
-
Data Science Projects Using Python and R : here
-
DataCamp data-science courses : here
This section includes all contributions submitted by data science learners out there -
Contributed by: @braydenq
- 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 :)