Awesome Data Science

An open source Data Science repository to learn and apply towards solving real world problems.

Motivation

This part is for dummies who are new to Data Science

This is a shortcut path to start studying Data Science. Just follow the steps to answer the questions, "What is Data Science and what should I study to learn Data Science?"

First of all, Data Science is one of the hottest topics on the Computer and Internet farmland nowadays. People have gathered data from applications and systems until today and now is the time to analyze them. The next steps are producing suggestions from the data and creating predictions about the future. Here you can find the biggest question for Data Science and hundreds of answers from experts. Our favorite data scientist is Clare Corthell. She is an expert in data-related systems and a hacker, and has been working on a company as a data scientist. Clare's blog. This web site helps you to understand the exact way to study as a professional data scientist.

Secondly, Our favorite programming language is Python nowadays for #DataScience. Python's - Pandas library has full functionality for collecting and analyzing data. We use Anaconda to play with data and to create applications.

This is the Guide to begin a Data Science project.

Swami Chandrasekaran made a Curriculum via Metro map.

by @kzawadz via twitter MarketingDistillery.com

What is Data Science?

• What is Data Science @ O'reilly
• What is Data Science @ Quora
• The sexiest job of 21st century
• What is data science
• What is a data scientist
• Wikipedia
• a very short history of #datascience

COLLEGES

• A list of colleges and universities offering degrees in data science.

MOOC's

• Google Making Sense of Data
• Coursera Introduction to Data Science
• Data Science - 9 Steps Courses, A Specialization on Coursera
• Data Mining - 5 Steps Courses, A Specialization on Coursera
• CS 109 Data Science
• Schoolofdata
• OpenIntro
• Data science MOOC
• CS 171 Visualization
• Process Mining: Data science in Action
• Oxford Deep Learning
• Oxford Deep Learning - video
• Oxford Machine Learning
• UBC Machine Learning - video
• Data Science Specialization

Data Sets

• Academic Torrents
• hadoopilluminated.com
• data.gov - The home of the U.S. Government's open data
• United States Census Bureau
• freebase.com
• usgovxml.com
• enigma.io - Navigate the world of public data - Quickly search and analyze billions of public records published by governments, companies and organizations.
• datahub.io
• aws.amazon.com/datasets
• databib.org
• datacite.org
• quandl.com - Get the data you need in the form you want; instant download, API or direct to your app.
• figshare.com
• GeoLite Legacy Downloadable Databases
• Quora's Big Datasets Answer
• Public Big Data Sets
• Houston Data Portal
• Kaggle Data Sources
• A Deep Catalog of Human Genetic Variation
• A community-curated database of well-known people, places, and things
• Google Public Data
• World Bank Data
• NYC Taxi data
• Open Data Philly Connecting people with data for Philadelphia
• A list of useful sources A blog post includes many data set databases
• grouplens.org Sample movie (with ratings), book and wiki datasets
• UC Irvine Machine Learning Repository - contains data sets good for machine learning
• research-quality data sets by Hilary Mason
• National Climatic Data Center - NOAA
• ClimateData.us (related: U.S. Climate Resilience Toolkit)
• r/datasets
• MapLight - provides a variety of data free of charge for uses that are freely available to the general public. Click on a data set below to learn more
• GHDx - Institute for Health Metrics and Evaluation - a catalog of health and demographic datasets from around the world and including IHME results
• St. Louis Federal Reserve Economic Data - FRED
• Dept. of Politics @ New York University
• Open Data Sources
• UNICEF Statistics and Monitoring
• UNICEF Data
• undata
• NASA SocioEconomic Data and Applications Center - SEDAC
• The GDELT Project
• Sweden, Statistics

Bloggers

• Wes McKinney - Wes McKinney Blog.
• Matthew Russell - Mining The Social Web.
• Greg Reda - Greg Reda Personal Blog
• Kevin Davenport - Kevin Davenport Personal Blog
• Julia Evans - Recurse Center alumna
• Hakan Kardas - Personal Web Page
• Sean J. Taylor - Personal Web Page
• Drew Conway - Personal Web Page
• Hilary Mason - Personal Web Page
• Noah Iliinsky - Personal Blog
• Matt Harrison - Personal Blog
• Data Science Renee Documenting my path from "SQL Data Analyst pursuing an Engineering Master's Degree" to "Data Scientist"
• Vamshi Ambati - AllThings Data Sciene
• Prash Chan - Tech Blog on Master Data Management And Every Buzz Surrounding It
• Clare Corthell - The Open Source Data Science Masters
• Paul Miller Based in the UK and working globally, Cloud of Data's consultancy services help clients understand the implications of taking data and more to the Cloud.
• Data Science London Data Science London is a non-profit organization dedicated to the free, open, dissemination of data science. We are the largest data science community in Europe. We are more than 3,190 data scientists and data geeks in our community.
• Peter Skomoroch MACHINE LEARNING, DATA MINING, AND MORE
• John Myles White Personal Blog
• Quora Data Science - Data Science Questions and Answers from experts
• Siah a PhD student at Berkeley
• Data Science Report MDS, Inc. Helps Build Careers in Data Science, Advanced Analytics, Big Data Architecture, and High Performance Software Engineering
• Louis Dorard a technology guy with a penchant for the web and for data, big and small
• Machine Learning Mastery about helping professional programmers to confidently apply machine learning algorithms to address complex problems.
• Daniel Forsyth - Personal Blog
• Data Science Weekly - Weekly News Blog
• Revolution Analytics - Data Science Blog
• R Bloggers - R Bloggers
• The Practical Quant Big data
• Micheal Le Gal a data enthusiast who gets hooked on solving intriguing problems and crafting beautiful stories and visualizations with data. Over the past 5 years, He haas applied statistics to solve problems in government, brain sciences, and most recently, retail.
• Datascope Anayltics data-driven consulting and design
• Yet Another Data Blog Yet Another Data Blog
• Spenczar a data scientist at Twitch. I handle the whole data pipeline, from tracking to model-building to reporting.
• KD Nuggets Data Mining, Analytics, Big Data, Data, Science not a blog a portal
• Meta Brown - Personal Blog
• Data Scientist is building the data scientist culture.
• WhatSTheBigData is some of, all of, or much more than the above and this blog explores its impact on information technology, the business world, government agencies, and our lives.
• Mic Farris Focusing on science, datascience, business, technology, and channeling inner geekness!
• Tevfik Kosar - Magnus Notitia
• New Data Scientist How a Social Scientist Jumps into the World of Big Data
• Harvard Data Science - Thoughts on Statistical Computing and Visualization
• Data Science 101 - Learning To Be A Data Scientist
• Kaggle Past Solutions
• DataScientistJourney
• NYC Taxi Visualization Blog
• Learning Lover
• Huge Trello List of Great Data Science Resources
• Dataists
• Data-Mania
• Data-Magnum
• Map Reduce Blog
• FastML Blog
• P-value - Musings on data science, machine learning and stats.
• datascopeanalytics
• Digital transformation
• Datawrangling
• datascientistjourney
• Data Mania Blog
• The File Drawer - Chris Said's science blog
• Emilio Ferrara's web page
• DataNews
• Reddit TextMining
• Periscopic
• Hilary Parker
• Data Stories
• Data Science Lab
• Meaning of
• Adventures in Data Land
• DATA MINERS BLOG
• Dataclysm
• FlowingData - Visualization and Statistics
• Calculated Risk
• Applied Data Labs - content and news about data-driven business.

Facebook Accounts

• Data
• Big Data Scientist
• Data Science 101
• Data Science Day
• Data Science Academy
• Facebook Data Science Page
• Data Science London
• Data Science Technology and Corporation
• Data Science - Closed Group
• Center for Data Science
• Big data hadoop NOSQL Hive Hbase
• Analytics, Data Mining, Predictive Modeling, Artificial Intelligence
• Big Data Analytics using R
• Big Data Analytics with R and Hadoop
• Big Data Learnings
• Big Data, Data Science, Data Mining & Statistics
• BigData/Hadoop Expert
• Data Mining / Machine Learning / AI
• Data Mining/Big Data - Social Network Ana

Twitter Accounts

• Wes McKinney - Pandas (Python Data Analysis library).
• Matthew Russell - Mining the Social Web.
• Greg Reda Working @ GrubHub about data and pandas
• Kevin Davenport - Organizer of http://sddatascience.com
• Julia Evans - Hacker - Pandas - Data Analyze
• Hakan Kardas - Data Scientist
• Big Data Science - Big Data, Data Science, Predictive Modeling, Business Analytics, Hadoop, Decision and Operations Research.
• Ryan Orban - Data scientist, genetic origamist, hardware aficionado
• Sean J. Taylor - Social Scientist. Hacker. Facebook Data Science Team. Keywords: Experiments, Causal Inference, Statistics, Machine Learning, Economics.
• Drew Conway - Data nerd, hacker, student of conflict.
• Data Science Central - Data Science Central is the industry's single resource for Big Data practitioners.
• Hilary Mason - Data Scientist in Residence at @accel.
• DJ Patil - White House Data Chief, VP @ RelateIQ.
• Juan Miguel Lavista - Principal Data Scientist @ Microsoft Data Science Team
• Data Science Tips - Tips and Tricks for Data Scientists around the world! #datascience #bigdata
• Erin Bartolo - Running with #BigData--enjoying a love/hate relationship with its hype. @iSchoolSU #DataScience Program Mgr.
• Noah Iliinsky - Visualization & interaction designer. Practical cyclist. Author of vis books: http://www.oreillynet.com/pub/au/4419
• Matt Harrison - Opinions of full-stack Python guy, author, instructor, currently playing Data Scientist. Occasional fathering, husbanding, ult|goalt-imate, organic gardening.
• Data Science Renee - Documenting my path from SQL Data Analyst pursuing an Engineering Master's Degree to Data Scientist
• Vamshi Ambati - Data Science @ PayPal. #NLP, #machinelearning; PhD, Carnegie Mellon alumni (Blog: http://allthingsds.wordpress.com )
• Tony Ojeda - Data Scientist | Author | Entrepreneur. Co-founder @DataCommunityDC. Founder @DistrictDataLab. #DataScience #BigData #DataDC
• Prash Chan - Solution Architect @ IBM, Master Data Management, Data Quality & Data Governance Blogger. Data Science, Hadoop, Big Data & Cloud.
• Clare Corthell - Dev, Design, Data Science @mattermark #hackerei
• Paul Miller - Cloud Computing/ Big Data/ Open Data Analyst & Consultant. Writer, Speaker & Moderator. Gigaom Research Analyst.
• Data Science London Data Science. Big Data. Data Hacks. Data Junkies. Data Startups. Open Data
• Gregory Piatetsky - KDnuggets President, Analytics/Big Data/Data Mining/Data Science expert, KDD & SIGKDD co-founder, was Chief Scientist at 2 startups, part-time philosopher.
• Peter Skomoroch - Creating intelligent systems to automate tasks & improve decisions. Entrepreneur, ex Principal Data Scientist @LinkedIn. Machine Learning, ProductRei, Networks
• Monica Rogati - Data @ Jawbone. Turned data into stories & products at LinkedIn. Text mining, applied machine learning, recommender systems. Ex-gamer, ex-machine coder; namer.
• Jeff Hammerbacher ReTweeting about data science
• John Myles White Scientist at Facebook and Julia developer. Author of Machine Learning for Hackers and Bandit Algorithms for Website Optimization. Tweets reflect my views only.
• Quora Data Science Quora's data science topic
• Data Science Report - Mission is to help guide & advance careers in Data Science & Analytics
• Luis Rei - PhD Student. Programming, Mobile, Web. Artificial Intelligence, Intelligent Robotics Machine Learning, Data Mining, Natural Language Processing, Data Science.
• Spencer Nelson - Data nerd
• Recep Erol - Data Science geek @ Rice University
• DataScienceX
• Talha Oz - Enjoys ABM, SNA, DM, ML, NLP, HI, Python, Java. Top percentile kaggler/data scientist
• Rand Hindi
• Big Data Combine - Rapid-fire, live tryouts for data scientists seeking to monetize their models as trading strategies
• Tony Baer - IT analyst with Ovum covering Big Data & data management with some systems engineering thrown in.
• Domino Data Lab
• Terry Timko - InfoGov; Bigdata; Data as a Service; Data Science; Open, Social & Business Data Convergence
• Randy Olson - Computer scientist researching artificial intelligence. Data tinkerer. Community leader for @DataIsBeautiful. #OpenScience advocate.
• Big Data Mania - Data Viz Wiz | Data Journalist | Growth Hacker | Author of Data Science for Dummies (2015)
• Chris Said - Data scientist at Twitter
• WileyEd - Senior Manager - @Seagate Big Data Analytics | @McKinsey Alum | #BigData + #Analytics Evangelist | #Hadoop, #Cloud, #Digital, & #R Enthusiast
• Tasos Skarlatidis - Complex Event Processing, Big Data, Artificial Intelligence and Machine Learning. Passionate about programming and open-source.
• Mark Stevenson - Data Analytics Recruitment Specialist at Salt (@SaltJobs) | Analytics - Insight - Big Data - Datascience
• Data Vizzard - DataViz, Security, Military
• Machine Learning - Live Content Curated by top 1K Machine Learning Experts
• Charlie Greenbacker - Director of Data Science at @ExploreAltamira
• Emilio Ferrara - #Networks, #MachineLearning and #DataScience. I work on #Social Media. Postdoc at @IndianaUniv
• WNYC Data News Team - The data news crew at @WNYC. Practicing data-driven journalism, making it visual and showing our work.
• TextDataMiningReddit
• Silvia K. Spiva - #DataScience at Cisco
• DADI Charles-Abner - #datascientist @Ekimetrics. , #machinelearning #dataviz #DynamicCharts #Hadoop #R #Python #NLP #Bitcoin #dataenthousiast
• Kim Rees - Interactive data visualization and tools. Data flaneur.
• Kirk Borne - DataScientist, PhD Astrophysicist, Top #BigData Influencer.
• Kenneth Cukier - The Economist's Data Editor and co-author of Big Data (http://big-data-book.com ).
• Gregory Piatetsky - KDnuggets President, Analytics/Big Data/Data Mining/Data Science expert, KDD & SIGKDD co-founder, was Chief Scientist at 2 startups, part-time philosopher.

Toolboxes - Environment

• Hortonworks Sandbox is a personal, portable Hadoop environment that comes with a dozen interactive Hadoop tutorials.
• R is a free software environment for statistical computing and graphics.
• Python - Pandas - Anaconda Completely free enterprise-ready Python distribution for large-scale data processing, predictive analytics, and scientific computing
• Scikit-Learn Machine Learning in Python
• Data Science Toolbox - Coursera Course
• Data Science Toolbox - Blog
• Wolfram Data Science Platform Take numerical, textual, image, GIS or other data and give it the Wolfram treatment, carrying out a full spectrum of data science analysis and visualization and automatically generating rich interactive reports—all powered by the revolutionary knowledge-based Wolfram Language.
• Sense Data Science Development Paltform A New Cloud Platform for Data Science and Big Data Analytics Collaborate on, scale, and deploy data analysis and advanced analytics projects radically faster. Use the most powerful tools — R, Python, JavaScript, Redshift, Hive, Impala, Hadoop, and more — supercharged and integrated in the cloud.
• Mortardata Solutions, code, and devops for high-scale data science.
• Variance Build powerful data visualizations for the web without writing JavaScript
• Kite Development Kit The Kite Software Development Kit (Apache License, Version 2.0), or Kite for short, is a set of libraries, tools, examples, and documentation focused on making it easier to build systems on top of the Hadoop ecosystem.
• Domino Data Labs Run, scale, share, and deploy your models — without any infrastructure or setup.
• Apache Flink A platform for efficient, distributed, general-purpose data processing.
• Apache Hama Apache Hama is an Apache Top-Level open source project, allowing you to do advanced analytics beyond MapReduce.
• Weka Weka is a collection of machine learning algorithms for data mining tasks.
• Octave GNU Octave is a high-level interpreted language, primarily intended for numerical computations.(Free Matlab)
• Apache Spark Lightning-fast cluster computing
• Caffe Deep Learning Framework

Presentations

• How to Become a Data Scientist
• Introduction to Data Science
• Intro to Data Science for Enterprise Big Data
• How to Interview a Data Scientist
• How to Share Data with a Statistician
• The Science of a Great Career in Data Science
• What Does a Data Scientist Do?
• Building Data Start-Ups: Fast, Big, and Focused
• How to win data science competitions with Deep Learning

Other Awesome Lists

• Other amazingly awesome lists can be found in the awesome-awesomeness list.
• Awesome Machine Learning A curated list of awesome Machine Learning frameworks, libraries and software.
• lists