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Anacondahttps://www.anaconda.com/download/
Winpyhttps://sourceforge.net/projects/winpython/files/WinPython_3.6/3.6.3.0/
https://patch-diff.githubusercontent.com/umer7/Data-Science-in-Python#what-is-data-science
What is Data Science @ O'reillyhttps://www.oreilly.com/ideas/what-is-data-science
What is Data Science @ Quorahttps://www.quora.com/Data-Science/What-is-data-science
The sexiest job of 21st centuryhttps://hbr.org/2012/10/data-scientist-the-sexiest-job-of-the-21st-century
What is data sciencehttp://www.datascientists.net/what-is-data-science
What is a data scientisthttp://www.becomingadatascientist.com/2014/02/14/what-is-a-data-scientist/
Wikipediahttps://en.wikipedia.org/wiki/Data_science
a very short history of #datasciencehttp://www.forbes.com/sites/gilpress/2013/05/28/a-very-short-history-of-data-science/
An Introduction to Data Science, PDFhttps://ischool.syr.edu/media/documents/2012/3/DataScienceBook1_1.pdf
Data Science Methodology by John Rollins PhDhttp://www.ibmbigdatahub.com/blog/why-we-need-methodology-data-science
A Day in the Life of a Data Scientist by Rutgers Universityhttp://online.rutgers.edu/resources/articles/a-day-in-the-life-of-a-data-scientist/
https://patch-diff.githubusercontent.com/umer7/Data-Science-in-Python#books
Python Data Science Handbookhttps://jakevdp.github.io/PythonDataScienceHandbook/
The Data Science Handbookhttp://www.thedatasciencehandbook.com/
The Art of Data Usabilityhttps://www.manning.com/books/the-art-of-data-usability
Think Like a Data Scientisthttps://www.manning.com/books/think-like-a-data-scientist
R in Action, Second Editionhttps://www.manning.com/books/r-in-action-second-edition
Introducing Data Sciencehttps://www.manning.com/books/introducing-data-science
Practical Data Science with Rhttps://www.manning.com/books/practical-data-science-with-r
Exploring Data Sciencehttps://www.manning.com/books/exploring-data-science
Exploring the Data Junglehttps://www.manning.com/books/exploring-the-data-jungle
https://patch-diff.githubusercontent.com/umer7/Data-Science-in-Python#online-courses
Applied Data Science with Python Specializationhttps://www.coursera.org/specializations/data-science-python
Microsoft Professional Program in Data Sciencehttps://www.edx.org/microsoft-professional-program-data-science
Intro to Data Sciencehttps://www.udacity.com/course/intro-to-data-science--ud359
Python Data camphttps://www.datacamp.com/courses/tech:python
Introduction to Python for Data Sciencehttps://www.edx.org/course/introduction-python-data-science-microsoft-dat208x-8
Intro to Data Science by Microsofthttps://www.edx.org/course/microsoft-professional-orientation-data-microsoft-dat101x-0
https://patch-diff.githubusercontent.com/umer7/Data-Science-in-Python#youtube-videos--channels
What is machine learning?https://www.youtube.com/watch?v=WXHM_i-fgGo
Andrew Ng: Deep Learning, Self-Taught Learning and Unsupervised Feature Learninghttps://www.youtube.com/watch?v=n1ViNeWhC24
Deep Learning: Intelligence from Big Datahttps://www.youtube.com/watch?v=czLI3oLDe8M
Interview with Google's AI and Deep Learning 'Godfather' Geoffrey Hintonhttps://www.youtube.com/watch?v=1Wp3IIpssEc
Introduction to Deep Learning with Pythonhttps://www.youtube.com/watch?v=S75EdAcXHKk
What is machine learning, and how does it work?https://www.youtube.com/watch?v=elojMnjn4kk
Data Schoolhttps://www.youtube.com/channel/UCnVzApLJE2ljPZSeQylSEyg
Neural Nets for Newbies by Melanie Warrick (May 2015)https://www.youtube.com/watch?v=Cu6A96TUy_o
Neural Networks video series by Hugo Larochellehttps://www.youtube.com/playlist?list=PL6Xpj9I5qXYEcOhn7TqghAJ6NAPrNmUBH
Google DeepMind co-founder Shane Legg - Machine Super Intelligencehttps://www.youtube.com/watch?v=evNCyRL3DOU
https://patch-diff.githubusercontent.com/umer7/Data-Science-in-Python#presentations
How to Become a Data Scientisthttp://www.slideshare.net/ryanorban/how-to-become-a-data-scientist
Introduction to Data Sciencehttp://www.slideshare.net/NikoVuokko/introduction-to-data-science-25391618
Intro to Data Science for Enterprise Big Datahttp://www.slideshare.net/pacoid/intro-to-data-science-for-enterprise-big-data
How to Interview a Data Scientisthttp://www.slideshare.net/dtunkelang/how-to-interview-a-data-scientist
How to Share Data with a Statisticianhttps://github.com/jtleek/datasharing
The Science of a Great Career in Data Sciencehttp://www.slideshare.net/katemats/the-science-of-a-great-career-in-data-science
What Does a Data Scientist Do?http://www.slideshare.net/datasciencelondon/big-data-sorry-data-science-what-does-a-data-scientist-do
Building Data Start-Ups: Fast, Big, and Focusedhttp://www.slideshare.net/medriscoll/driscoll-strata-buildingdatastartups25may2011clean
How to win data science competitions with Deep Learninghttp://www.slideshare.net/0xdata/how-to-win-data-science-competitions-with-deep-learning
https://patch-diff.githubusercontent.com/umer7/Data-Science-in-Python#data-science-using-python
Data Science tutorials using Rhttps://github.com/ujjwalkarn/DataScienceR
https://patch-diff.githubusercontent.com/umer7/Data-Science-in-Python#learning-python
YouTube tutorial series by sentdexhttps://www.youtube.com/watch?v=oVp1vrfL_w4&list=PLQVvvaa0QuDe8XSftW-RAxdo6OmaeL85M
Interactive Python tutorial websitehttp://www.learnpython.org/
https://patch-diff.githubusercontent.com/umer7/Data-Science-in-Python#numpy
numpyhttp://www.numpy.org/
Numpy tutorial on DataCamphttps://www.datacamp.com/community/tutorials/python-numpy-tutorial#gs.h3DvLnk
https://patch-diff.githubusercontent.com/umer7/Data-Science-in-Python#pandas
pandashttp://pandas.pydata.org/index.html
Introduction to pandashttp://www.synesthesiam.com/posts/an-introduction-to-pandas.html
DataCamp pandas foundationshttps://www.datacamp.com/courses/pandas-foundations
Pandas cheatsheethttps://github.com/pandas-dev/pandas/blob/master/doc/cheatsheet/Pandas_Cheat_Sheet.pdf
https://patch-diff.githubusercontent.com/umer7/Data-Science-in-Python#scikit-learn
scikit-learnhttp://scikit-learn.org/stable/
Introduction and first model applicationhttps://nbviewer.jupyter.org/github/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/05.02-Introducing-Scikit-Learn.ipynb
Rough guide for choosing estimatorshttp://scikit-learn.org/stable/tutorial/machine_learning_map/
Scikit-learn complete user guidehttp://scikit-learn.org/stable/user_guide.html
Model ensemble: Implementation in Pythonhttp://machinelearningmastery.com/ensemble-machine-learning-algorithms-python-scikit-learn/
https://patch-diff.githubusercontent.com/umer7/Data-Science-in-Python#jupyter-notebook
Jupyter Notebookhttps://jupyter.org/
Downloading and running first Jupyter notebookhttps://jupyter.org/install.html
Example notebook for data explorationhttps://www.kaggle.com/sudalairajkumar/simple-exploration-notebook-instacart
Seaborn data visualization tutorialhttps://elitedatascience.com/python-seaborn-tutorial
https://patch-diff.githubusercontent.com/umer7/Data-Science-in-Python#common-algorithms-and-procedures
Supervised vs unsupervised learninghttps://stackoverflow.com/questions/1832076/what-is-the-difference-between-supervised-learning-and-unsupervised-learning
9 important Data Science algorithms and their implementationhttps://nbviewer.jupyter.org/github/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/05.05-Naive-Bayes.ipynb
Cross validationhttps://nbviewer.jupyter.org/github/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/05.03-Hyperparameters-and-Model-Validation.ipynb
Feature engineeringhttps://nbviewer.jupyter.org/github/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/05.04-Feature-Engineering.ipynb
Scientific introduction to 10 important Data Science algorithmshttp://www.cs.umd.edu/%7Esamir/498/10Algorithms-08.pdf
Model ensemble: Explanationhttps://www.analyticsvidhya.com/blog/2017/02/introduction-to-ensembling-along-with-implementation-in-r/
https://patch-diff.githubusercontent.com/umer7/Data-Science-in-Python#competitions
Kagglehttps://www.kaggle.com/
DrivenDatahttps://www.drivendata.org/
Analytics Vidhyahttps://www.analyticsvidhya.com/blog/tag/data-science-competitions/
The Data Science Gamehttp://www.datasciencegame.com/
InnoCentivehttps://www.innocentive.com/
TuneedIThttp://tunedit.org/challenges
https://patch-diff.githubusercontent.com/umer7/Data-Science-in-Python#data-science-ideas
https://patch-diff.githubusercontent.com/umer7/Data-Science-in-Python#human-resources
Competency forecastinghttp://onlinelibrary.wiley.com/doi/10.1111/j.1468-2389.1993.tb00083.x/full
Employee churn analyticshttp://www.predictiveanalyticsworld.com/patimes/employee-churn-201-calculating-employee-value/3321/
Employee performance analyticshttp://www.halogensoftware.com/blog/employee-performance-data-the-most-underused-data-set-in-hr
Network analytics on employee interactionshttp://lcs.ios.ac.cn/~shil/paper/Smallblue_PIEEE.pdf
Resume matching, preselection and tagginghttps://www.quora.com/What-is-the-best-algorithm-to-match-resumes-with-jobs
Workforce planninghttps://www.slideshare.net/wayneraw/workforce-planning
https://patch-diff.githubusercontent.com/umer7/Data-Science-in-Python#finance
Fraud detectionhttps://en.wikipedia.org/wiki/Data_analysis_techniques_for_fraud_detection
https://patch-diff.githubusercontent.com/umer7/Data-Science-in-Python#it
Component quality analyticshttps://www.backblaze.com/blog/hard-drive-reliability-stats-q1-2016/
Cybercrime detectionhttp://www.sas.com/en_be/software/fraud-security-intelligence/cybersecurity-solutions.html
Server performance monitoring and alertinghttp://www.coscale.com/
automatic routing and replyhttps://www.channele2e.com/2016/12/23/automate-trouble-ticketing-management-with-natural-language-processing/
clusteringhttps://link.springer.com/chapter/10.1007/978-3-319-46295-0_58
https://patch-diff.githubusercontent.com/umer7/Data-Science-in-Python#marketing
Churn/Customer attritionhttps://en.wikipedia.org/wiki/Customer_attrition#prediction
Customer segmentationhttps://ds4ci.files.wordpress.com/2013/09/user08_jimp_custseg_revnov08.pdf
Life Time Valuehttps://dataorigami.net/blogs/napkin-folding/18868411-lifetimes-measuring-customer-lifetime-value-in-python
Personalized advertisinghttp://ieeexplore.ieee.org/document/7273289/
Product recommendation engineshttp://www.kdnuggets.com/2015/10/big-data-recommendation-systems-change-lives.html
Marketing Optimizationhttp://www.marketingoptimizer.com/marketing-optimization/
Social Media Analyticshttps://cran.r-project.org/web/packages/SocialMediaLab/
Text Analytics on customer complaintshttps://dev.socrata.com/blog/2016/05/03/natural-language-with-sodapy-and-algorithmia.html
https://patch-diff.githubusercontent.com/umer7/Data-Science-in-Python#sales
Cross-sell opportunitieshttps://www.analyticsvidhya.com/blog/2015/08/learn-cross-selling-upselling/
Lead scoringhttp://marketingland.com/maximizing-lead-scoring-analytics-use-big-data-b2b-101956
Price elasticityhttps://support.sas.com/rnd/app/ets/examples/simpelast/index.htm
Revenue forecastinghttp://analytics.ncsu.edu/sesug/2007/PO10.pdf
Kagglehttps://www.kaggle.com/c/rossmann-store-sales
https://patch-diff.githubusercontent.com/umer7/Data-Science-in-Python#supply-chain
Demand forecastinghttps://www.slideshare.net/vishnuvsvn/demand-forecasting-in-supply-chain
Gas purchase optimizationhttp://pubsonline.informs.org/doi/pdf/10.1287/opre.40.3.446
Inventory forecastinghttps://hbr.org/1971/07/how-to-choose-the-right-forecasting-technique
Optimal routeshttp://www.sciencedirect.com/science/article/pii/S22125671163004780
Warehouse location optimizationhttps://en.wikipedia.org/wiki/Weber_problem
https://patch-diff.githubusercontent.com/umer7/Data-Science-in-Python#insurance
Fraud detectionhttp://www.jstor.org/stable/3182781
Litigation predictionhttp://www.propertycasualty360.com/2014/08/22/using-predictive-analytics-in-litigation-managemen?slreturn=1483353120
Pricing using telematicshttps://lirias.kuleuven.be/handle/123456789/552745
Risk analyticshttps://en.wikipedia.org/wiki/Analytics#Risk_analytics
https://patch-diff.githubusercontent.com/umer7/Data-Science-in-Python#life-sciences
R&D portfolio optimizationhttp://www.athlycs.be/portfolio-insight
https://patch-diff.githubusercontent.com/umer7/Data-Science-in-Python#manufacturing
Predictive Asset Maintenancehttp://www.genesissolutions.com/asset-management-to-be-a-key-in-internet-of-things-manufacturing-deployments/
Quality controlhttp://necsi.edu/affiliates/braha/IEEE-Cleaning_02.pdf
https://patch-diff.githubusercontent.com/umer7/Data-Science-in-Python#finance-and-tax
Budget planning and simulationhttps://www.edx.org/course/macroeconometric-forecasting-imfx-mfx-0
Customs fraud detectionhttp://ieeexplore.ieee.org/document/1167400/
Tax audit triagehttps://the-modeling-agency.com/triage-for-tax-auditstm/
https://patch-diff.githubusercontent.com/umer7/Data-Science-in-Python#public-safety
Mass scale surveillancehttps://en.wikipedia.org/wiki/PRISM_(surveillance_program)
https://patch-diff.githubusercontent.com/umer7/Data-Science-in-Python#data-sets
Academic Torrentshttp://academictorrents.com/
hadoopilluminated.comhttp://hadoopilluminated.com/hadoop_illuminated/Public_Bigdata_Sets.html
data.govhttps://catalog.data.gov/dataset
United States Census Bureauhttp://www.census.gov/
usgovxml.comhttp://usgovxml.com/
enigma.comhttp://enigma.com/
datahub.iohttps://datahub.io/
aws.amazon.com/datasetshttps://aws.amazon.com/datasets/
databib.orghttp://databib.org/
datacite.orghttps://www.datacite.org
quandl.comhttps://www.quandl.com/
figshare.comhttps://figshare.com/
GeoLite Legacy Downloadable Databaseshttp://dev.maxmind.com/geoip/legacy/geolite/
Quora's Big Datasets Answerhttps://www.quora.com/Where-can-I-find-large-datasets-open-to-the-public
Public Big Data Setshttp://hadoopilluminated.com/hadoop_illuminated/Public_Bigdata_Sets.html
Houston Data Portalhttp://data.ohouston.org/
Kaggle Data Sourceshttps://www.kaggle.com/wiki/DataSources
Kaggle Datasetshttps://www.kaggle.com/datasets
A Deep Catalog of Human Genetic Variationhttp://www.internationalgenome.org/data
A community-curated database of well-known people, places, and thingshttps://developers.google.com/freebase/
Google Public Datahttp://www.google.com/publicdata/directory
World Bank Datahttp://data.worldbank.org/
NYC Taxi datahttp://chriswhong.github.io/nyctaxi/
Open Data Phillyhttps://www.opendataphilly.org/
A list of useful sourceshttp://ahmetkurnaz.net/en/statistical-data-sources/
grouplens.orghttps://grouplens.org/datasets/
UC Irvine Machine Learning Repositoryhttp://archive.ics.uci.edu/ml/
research-quality data setshttp://web.archive.org/web/20150320022752/https://bitly.com/bundles/hmason/1
Hilary Masonhttp://web.archive.org/web/20150501033715/https://bitly.com/u/hmason/bundles
National Climatic Data Center - NOAAhttps://www.ncdc.noaa.gov/
ClimateData.ushttp://www.climatedata.us/
U.S. Climate Resilience Toolkithttps://toolkit.climate.gov/
r/datasetshttps://www.reddit.com/r/datasets/
MapLighthttp://maplight.org/data
GHDxhttp://ghdx.healthdata.org/
St. Louis Federal Reserve Economic Data - FREDhttps://fred.stlouisfed.org/
New Zealand Institute of Economic Research – Data1850https://data1850.nz/
Dept. of Politics @ New York Universityhttp://www.nyu.edu/projects/politicsdatalab/datasupp_datasources.html
Open Data Sourceshttps://github.com/datasciencemasters/data
UNICEF Statistics and Monitoringhttps://www.unicef.org/statistics/index_24287.html
UNICEF Datahttps://data.unicef.org/
undatahttp://data.un.org/
NASA SocioEconomic Data and Applications Center - SEDAChttp://sedac.ciesin.columbia.edu/
The GDELT Projecthttp://gdeltproject.org/
Sweden, Statisticshttp://www.scb.se/en/
Github free data source listhttp://www.datasciencecentral.com/profiles/blogs/great-github-list-of-public-data-sets
StackExchange Data Explorerhttp://data.stackexchange.com
San Fransisco Government Open Datahttps://data.sfgov.org/
IBM Blog abour open datahttp://www.datasciencecentral.com/profiles/blogs/the-free-big-data-sources-everyone-should-know
Open data Indexhttp://index.okfn.org/
Liver Tumor Segmentation Challenge Datasethttp://www.lits-challenge.com/
https://github.com/bulutyazilim/awesome-datasciencehttps://github.com/bulutyazilim/awesome-datascience
https://github.com/JosPolfliet/awesome-datascience-ideashttps://github.com/JosPolfliet/awesome-datascience-ideas
https://github.com/siboehm/awesome-learn-datasciencehttps://github.com/siboehm/awesome-learn-datascience
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