We hope you have gone through the course pre-work and are all set to kick off your 1st day at GreyAtom

• FSDSE Course Pre-work

• Understand Impact of Data Science on Business
• Explore Career Paths in Data Science
• Work with Commit.Live

• Welcome to GreyAtom

• Introduction to Data Science

• Industry Panel Discussion - Impact of Data Science on Business

• Understanding a Data Scientist

• Panel Discussion on Data Science Career Paths

• Commit. Live Demo & Installation

• Introduction to Data Science @gslides

• Understanding a Data Scientist @gslides

• A visual guide to Becoming a Data Scientist in 8 Steps by DataCamp
• Berkley Science Review
• A very short history of data science
• A day in the life of a Data Scientist

• Opensource Indian government data
• Academic Torrents
• hadoopilluminated.com
• data.gov - The home of the U.S. Government's open data
• United States Census Bureau
• 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
• Kaggle Datasets
• 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
• New Zealand Institute of Economic Research – Data1850
• 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
• Github free data source list
• StackExchange Data Explorer - an open source tool for running arbitrary queries against public data from the Stack Exchange network.
• San Fransisco Government Open Data
• IBM Blog abour open data
• Open data Index
• Liver Tumor Segmentation Challenge Dataset

• Wes McKinney - Wes McKinney Archives.
• 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.
• Datawrangling by 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
• Dataists
• Data-Mania
• Data-Magnum
• Map Reduce Blog
• FastML Blog
• P-value - Musings on data science, machine learning and stats.
• datascopeanalytics
• Digital transformation
• 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
• O'reilly Learning Blog
• Dominodatalab
• i am trask - A Machine Learning Craftsmanship Blog
• Vademecum of Practical Data Science - Handbook and recipes for data-driven solutions of real-world problems
• Dataconomy - A blog on the new emerging data economy
• Springboard - A blog with resources for data science learners
• Analytics Vidhya - A full-fledged website about data science and analytics study material.
• Occam's Razor - Focused on Web Analytics.
• Data School - Data science tutorials for beginners!
• Colah's Blog - Blog for understanding Neural Networks!
• Sebastian's Blog - Blog for NLP and transfer learning!
• Distill - Dedicated to clear explanations of machine learning!

• 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
• Vademecum of Practical Data Science
• Veri Bilimi Istanbul
• The Data Science Blog

• Big Data Combine - Rapid-fire, live tryouts for data scientists seeking to monetize their models as trading strategies
• Big Data Mania - Data Viz Wiz | Data Journalist | Growth Hacker | Author of Data Science for Dummies (2015)
• Big Data Science - Big Data, Data Science, Predictive Modeling, Business Analytics, Hadoop, Decision and Operations Research.
• Charlie Greenbacker - Director of Data Science at @ExploreAltamira
• Chris Said - Data scientist at Twitter
• Clare Corthell - Dev, Design, Data Science @mattermark #hackerei
• DADI Charles-Abner - #datascientist @Ekimetrics. , #machinelearning #dataviz #DynamicCharts #Hadoop #R #Python #NLP #Bitcoin #dataenthousiast
• Data Science Central - Data Science Central is the industry's single resource for Big Data practitioners.
• Data Science London Data Science. Big Data. Data Hacks. Data Junkies. Data Startups. Open Data
• Data Science Renee - Documenting my path from SQL Data Analyst pursuing an Engineering Master's Degree to Data Scientist
• Data Science Report - Mission is to help guide & advance careers in Data Science & Analytics
• Data Science Tips - Tips and Tricks for Data Scientists around the world! #datascience #bigdata
• Data Vizzard - DataViz, Security, Military
• DataScienceX
• deeplearning4j -
• DJ Patil - White House Data Chief, VP @ RelateIQ.
• Domino Data Lab
• Drew Conway - Data nerd, hacker, student of conflict.
• Emilio Ferrara - #Networks, #MachineLearning and #DataScience. I work on #Social Media. Postdoc at @IndianaUniv
• Erin Bartolo - Running with #BigData--enjoying a love/hate relationship with its hype. @iSchoolSU #DataScience Program Mgr.
• Greg Reda Working @ GrubHub about data and pandas
• 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.
• 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.
• Hakan Kardas - Data Scientist
• Hilary Mason - Data Scientist in Residence at @accel.
• 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.
• Juan Miguel Lavista - Principal Data Scientist @ Microsoft Data Science Team
• Julia Evans - Hacker - Pandas - Data Analyze
• Kenneth Cukier - The Economist's Data Editor and co-author of Big Data (http://big-data-book.com ).
• Kevin Davenport - Organizer of https://meetup.com/San-Diego-R-Users-Group/
• Kevin Markham - Data science instructor, and founder of Data School
• Kim Rees - Interactive data visualization and tools. Data flaneur.
• Kirk Borne - DataScientist, PhD Astrophysicist, Top #BigData Influencer.
• Linda Regber - Data story teller, visualizations.
• Luis Rei - PhD Student. Programming, Mobile, Web. Artificial Intelligence, Intelligent Robotics Machine Learning, Data Mining, Natural Language Processing, Data Science.
• Machine Learning - Live Content Curated by top 1K Machine Learning Experts
• Mark Stevenson - Data Analytics Recruitment Specialist at Salt (@SaltJobs) | Analytics - Insight - Big Data - Datascience
• Matt Harrison - Opinions of full-stack Python guy, author, instructor, currently playing Data Scientist. Occasional fathering, husbanding, ult|goalt-imate, organic gardening.
• Matthew Russell - Mining the Social Web.
• Mert Nuhoğlu Data Scientist at BizQualify, Developer
• Monica Rogati - Data @ Jawbone. Turned data into stories & products at LinkedIn. Text mining, applied machine learning, recommender systems. Ex-gamer, ex-machine coder; namer.
• Noah Iliinsky - Visualization & interaction designer. Practical cyclist. Author of vis books: http://www.oreilly.com/pub/au/4419
• Paul Miller - Cloud Computing/ Big Data/ Open Data Analyst & Consultant. Writer, Speaker & Moderator. Gigaom Research Analyst.
• Peter Skomoroch - Creating intelligent systems to automate tasks & improve decisions. Entrepreneur, ex Principal Data Scientist @LinkedIn. Machine Learning, ProductRei, Networks
• Prash Chan - Solution Architect @ IBM, Master Data Management, Data Quality & Data Governance Blogger. Data Science, Hadoop, Big Data & Cloud.
• Quora Data Science Quora's data science topic
• R-Bloggers - Tweet blog posts from the R blogosphere, data science conferences and (!) open jobs for data scientists.
• Rand Hindi
• Randy Olson - Computer scientist researching artificial intelligence. Data tinkerer. Community leader for @DataIsBeautiful. #OpenScience advocate.
• Recep Erol - Data Science geek @ UALR
• 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.
• Silvia K. Spiva - #DataScience at Cisco
• Spencer Nelson - Data nerd
• Talha Oz - Enjoys ABM, SNA, DM, ML, NLP, HI, Python, Java. Top percentile kaggler/data scientist
• Tasos Skarlatidis - Complex Event Processing, Big Data, Artificial Intelligence and Machine Learning. Passionate about programming and open-source.
• Terry Timko - InfoGov; Bigdata; Data as a Service; Data Science; Open, Social & Business Data Convergence
• Tony Baer - IT analyst with Ovum covering Big Data & data management with some systems engineering thrown in.
• Tony Ojeda - Data Scientist | Author | Entrepreneur. Co-founder @DataCommunityDC. Founder @DistrictDataLab. #DataScience #BigData #DataDC
• Vamshi Ambati - Data Science @ PayPal. #NLP, #machinelearning; PhD, Carnegie Mellon alumni (Blog: https://allthingsds.wordpress.com )
• Wes McKinney - Pandas (Python Data Analysis library).
• WileyEd - Senior Manager - @Seagate Big Data Analytics | @McKinsey Alum | #BigData + #Analytics Evangelist | #Hadoop, #Cloud, #Digital, & #R Enthusiast
• WNYC Data News Team - The data news crew at @WNYC. Practicing data-driven journalism, making it visual and showing our work.

• What is machine learning?
• Andrew Ng: Deep Learning, Self-Taught Learning and Unsupervised Feature Learning
• Deep Learning: Intelligence from Big Data
• Interview with Google's AI and Deep Learning 'Godfather' Geoffrey Hinton
• Introduction to Deep Learning with Python
• What is machine learning, and how does it work?
• Data School - Data Science Education
• Neural Nets for Newbies by Melanie Warrick (May 2015)
• Neural Networks video series by Hugo Larochelle
• Google DeepMind co-founder Shane Legg - Machine Super Intelligence

• Datalab from Google easily explore, visualize, analyze, and transform data using familiar languages, such as Python and SQL, interactively.
• 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.
• RStudio IDE – powerful user interface for R. It’s free and open source, works onWindows, Mac, and Linux.
• 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
• NumPy NumPy is fundamental for scientific computing with Python. It supports large, multi-dimensional arrays and matrices and includes an assortment of high-level mathematical functions to operate on these arrays.
• SciPy SciPy works with NumPy arrays and provides efficient routines for numerical integration and optimization.
• 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
• Datadog 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
• Hydrosphere Mist - a service for exposing Apache Spark analytics jobs and machine learning models as realtime, batch or reactive web services.
• Caffe Deep Learning Framework
• Torch A SCIENTIFIC COMPUTING FRAMEWORK FOR LUAJIT
• Nervana's python based Deep Learning Framework
• Skale - High performance distributed data processing in NodeJS
• Aerosolve - A machine learning package built for humans.
• Intel framework - Intel® Deep Learning Framework
• Datawrapper – An open source data visualization platform helping everyone to create simple, correct and embeddable charts. Also at github.com
• Tensor Flow - TensorFlow is an Open Source Software Library for Machine Intelligence
• Natural Language Toolkit
• nlp-toolkit for node.js
• Julia – high-level, high-performance dynamic programming language for technical computing.
• IJulia – a Julia-language backend combined with the Jupyter interactive environment.

• addepar
• amcharts
• anychart
• slemma
• cartodb
• Cube
• d3plus
• Data-Driven Documents(D3js)
• datahero
• dygraphs
• ECharts
• exhibit
• Gatherplot
• gephi
• ggplot2
• Glue
• Google Chart Gallery
• highcarts
• import.io
• jqplot
• Matplotlib
• nvd3
• Opendata-tools - list of open source data visualization tools
• Openrefine
• plot.ly
• raw
• rcharts
• techanjs
• tenxer
• Timeline
• variancecharts
• vida
• Wolframalpha
• Wrangler
• r2d3
• NetworkX - High-productivity software for complex networks

• ICML - International Conference on Machine Learning
• epjdatascience
• Journal of Data Science - an international journal devoted to applications of statistical methods at large
• Big Data Research
• Journal of Big Data
• Big Data & Society
• Data Science Journal

• 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

Some data mining competition platforms

• Kaggle
• DrivenData
• Analytics Vidhya
• The Data Science Game
• InnoCentive
• TuneedIT

• [](Digital Data)

• 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
• awesome-dataviz
• awesome-python
• Data Science IPython Notebooks.
• awesome-r
• awesome-datasets. – An awesome list of high-quality open datasets in public domains
• awesome-Machine Learning & Deep Learning Tutorials
• Awesome Data Science Ideas
• Machine Learning for Software Engineers

Compiled from multiple sources including https://github.com/bulutyazilim/awesome-datascience