Author: Ajay Ohri

http://about.me/ajayohri

Social Media Networking for Data Scientists Top Groups On LinkedIn Facebook Twitter and Google Plus

A list of places on the Internet where you want to hang out if you want to build your name, fame as well as read and share content for data science and big data analytics

Do you want to add a list or group- just put it on comments on DecisionStats.com post

(list compiled by our Data Science Intern, Prerna Sahay)

 

Facebook Groups:

  1. Analytics, data mining, predictive modeling, big data

(https://www.facebook.com/groups/data.analytics/ )

  1. Apache Hadoop (https://www.facebook.com/groups/158386177549436/ )
  1. Apache Hadoop Ecosystem (https://www.facebook.com/groups/hadoop.group/ )
  1. Big Data (https://www.facebook.com/groups/BigDataisonline/ )
  1. Big Data Analytics using R (https://www.facebook.com/groups/434352233255448/ )
  1. Big Data Analytics with R and Hadoop (https://www.facebook.com/groups/rhadoop/ )
  1. Big Data Hadoop NOSQL Hive Hbase (https://www.facebook.com/groups/bigdatahadoop/ )
  1. Big Data Learnings (https://www.facebook.com/groups/bigdatalearnings/ )
  1. Big Data Malaysia (https://www.facebook.com/groups/bigdatamy/ )
  1. Big Data , Data Science , Data Mining & Statistics (https://www.facebook.com/groups/bigdatastatistics/ )
  1. BigData/Hadoop Expert (https://www.facebook.com/groups/BigDataExpert/ )
  1. Chennai Hadoop and Big Data User Group (https://www.facebook.com/groups/chennaihadoop/ )
  1. Data Mining / Machine Learning /AI (https://www.facebook.com/groups/machinelearningforum/ )
  1. Data Mining/ Big Data (https://www.facebook.com/groups/dataminingsocialnetworks/ )
  1. Hadoop Administrators (https://www.facebook.com/groups/hadoop.admins/ )
  1. Hadoop Developers India (https://www.facebook.com/groups/423391947699826/ )
  1. Hadoop in Action (https://www.facebook.com/groups/haddopinaction/ )
  1. Hadoop Jobs (https://www.facebook.com/groups/hadoopjobs/ )

 

  1. Hadoop Material (https://www.facebook.com/groups/416616701771842/ )
  1. Hadoop User Group (https://www.facebook.com/groups/hadoopcrunch/ )
  1. Tackling the Challenges of Big Data

(https://www.facebook.com/groups/tcobd/?ref=browser )

  1. MapReduce (https://www.facebook.com/groups/mapreducegroup/ )
  1. Tableau Software User Group (https://www.facebook.com/groups/181682408543566/ )
  1. Spotfire Group (https://www.facebook.com/groups/766623530030197/ )
  1. Hadoop Big Data- The next Big Thing (https://www.facebook.com/groups/hadoop.big.data/ )
  1. Coursera (https://www.facebook.com/groups/CourseraConnections/?ref=browser )

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Linkedin Groups:

  1. KDnuggets Analytics, Data Mining and Data Science (https://www.linkedin.com/grp/home?gid=54257 )
  2. Cloud Computing (https://www.linkedin.com/grp/home?gid=61513 )
  3. Quantitative Analysis Professional (https://www.linkedin.com/grp/home?gid=71149 )
  4. Online Data Visualisation (https://www.linkedin.com/grp/home?gid=3707334 )
  5. Big Data and analytics (https://www.linkedin.com/grp/home?gid=4332669 )
  6. Data Scientists (https://www.linkedin.com/grp/home?gid=2013423 )
  7. Predictive Analytics Network (PAN) (https://www.linkedin.com/grp/home?gid=1849479 )
  8. Data Mining Pioneers (https://www.linkedin.com/groups/Data-Mining-Pioneers-64585/about )
  9. Big Data | Analytics | Strategy | Finance | Innovation (https://www.linkedin.com/grp/home?gid=1814785 )
  10. Business Intelligence and Analytics (3527380) (https://www.linkedin.com/grp/home?gid=3527380 )
  11. Indian Internet of Things (IIoT) (https://www.linkedin.com/grp/home?gid=8198420 )
  12. Big Data , Analytics , Business Intelligence & Visualization Experts Community (https://www.linkedin.com/grp/home?gid=23006 )
  13. Data Science , Big Data and Analytics Executives (https://www.linkedin.com/groups/Data-Science-Big-Data-Analytics-5074372/about )
  14. People Learning R (https://www.linkedin.com/grp/home?gid=5150073 )
  15. Predictive Analytics World (https://www.linkedin.com/grp/home?gid=1005097 )
  16. Springer Network (https://www.linkedin.com/groups/Springer-Network-29206/about )
  17. India Analytics Network (https://www.linkedin.com/grp/home?gid=1858675 )
  18. RDataMining: R and Data Mining (https://www.linkedin.com/grp/home?gid=4066593 )
  19. Business Intelligence
  20. R/Finance (https://www.linkedin.com/grp/home?gid=155029 )
  21. Big Data, Analytics and Data Science Training (https://www.linkedin.com/grp/home?gid=4989164 )
  22. R Developers and Users Group (https://www.linkedin.com/grp/home?gid=3740742 )
  23. Information Security Community (https://www.linkedin.com/grp/home?gid=38412 )
  24. Predictive Model Markup Language (PMML) (https://www.linkedin.com/grp/home?gid=2328634 )
  25. The R Project for Statistical Computing (https://www.linkedin.com/grp/home?gid=77616 )
  26. Spotfire User Group – SFUG for Spotfire Analytics Developers , Enthusiasts and Practioners (https://www.linkedin.com/grp/home?gid=3984312 )
  27. Spotfire Developers , Consultants and Partners (https://www.linkedin.com/groups?gid=2480584 )
  28. Spotfire Enthusiasts (https://www.linkedin.com/grp/home?gid=3752855 )
  29. Machine Learning Connection (https://www.linkedin.com/groups?gid=70219)
  30. SAS Analytics & BI (https://www.linkedin.com/groups?gid=130238 )

Twitter # Tags:

  1. #rstats (https://twitter.com/search?q=%23rstats )
  2. #datascience (https://twitter.com/hashtag/datascience?src=rela )
  3. #bigdata (https://twitter.com/hashtag/bigdata?src=rela )
  4. #iot (https://twitter.com/hashtag/iot?src=rela )
  5. #bigdata (https://twitter.com/hashtag/bigdata?src=rela )
  6. #analytics (https://twitter.com/hashtag/analytics?src=rela )
  7. #internet of things (https://twitter.com/hashtag/internetofthings?src=rela )
  8. #tableau (https://twitter.com/search?q=%23tableau)
  9. #dataviz (https://twitter.com/hashtag/dataviz?src=rela )
  10. #machinelearning (https://twitter.com/hashtag/machinelearning?src=rela )
  11. #spotfire (https://twitter.com/search?q=%23spotfire)
  12. @tibco (https://twitter.com/search?q=%40tibco )
  13. #businessintelligence (https://twitter.com/search?q=%23businessintelligence )
  14. #deeplearning (https://twitter.com/search?q=%23deeplearning )
  15. #ai (https://twitter.com/hashtag/ai?src=rela )
  16. #hadoop (https://twitter.com/search?q=%23hadoop )
  17. #cloud (https://twitter.com/search?q=%23cloud )
  18. #python (https://twitter.com/search?q=%23python )
  19. #django (https://twitter.com/search?q=%23python )
  20. #statistics (https://twitter.com/search?q=%23statistics )

Google plus communities:

  1. Data Science – Data , Knowledge, Action (https://plus.google.com/u/0/communities/104673320232127474190 )
  2. Big Data – Big Questions? Big Data = Big Answers (https://plus.google.com/u/0/communities/118194042397414247987 )
  3. Data Science – making big data small (https://plus.google.com/u/0/communities/113253740387558560113 )
  4. Machine Learning – The beauty of the artificial mind (https://plus.google.com/u/0/communities/101342316728284418850 )
  5. Hadoop – Articles , discussion and learning (https://plus.google.com/communities/105735667520214958344 )
  6. Google Analytics – The largest GA user community (https://plus.google.com/communities/114481059214254340537 )
  7. Statistics and R – interested in R and statistics? Join us! (https://plus.google.com/communities/117681470673972651781 )
  8. Python – Unofficial Python Community (https://plus.google.com/communities/103393744324769547228 )
  9. Machine Learning – The beauty of the artificial mind (https://plus.google.com/communities/101342316728284418850 )
  10. Machine learning , IR , Mining , Big Data – ML,IR,KDD,Big Data Mining,Search,Social Networks (https://plus.google.com/communities/112064568745102322361 )
  11. Machine Learning – Academia , Industry and anyone who has an interest on ML and Data (https://plus.google.com/communities/107785538899595981479 )
  12. Big Data – Big Data , Analytics and Data Science (https://plus.google.com/communities/107156514183161811383 )
  13. Big Data professionals – This G+ page is for everyone involved in the development of applications using Big Data. Innovate together with Big Data professionals!

(https://plus.google.com/communities/101646309652442505961 )

  1. Big Data. Artificial Intelligence. Bi. – Internet of Things / IoT / M2M / Machine Learning ▪ Crypto Currencies ▪ Bitcoin ▪ Artificial Intelligence ▪ Digital Currencies (https://plus.google.com/communities/114206007718004250940 )
  2. Big Data – Exploring how big data is changing the world (https://plus.google.com/communities/109707855685220573696 )
  3. Big Data R&D – (https://plus.google.com/communities/103487294531677099010 )
  4. Big Data, Economy & Technology – Checking innovations and using Data to build efficient decision platforms and amazing visualizations. (https://plus.google.com/communities/104041697322064738236 )
  5. Business Intelligence – Big Data, Data Visualization, Actionable Insights, Software, Tools & Solutions (https://plus.google.com/communities/110061721590251903650 )

Top five unethical companies in India

not including political parties or state governments here is a list of top 5 unethical companies in India in terms of controversies

  1. Company 1 -cant say because they bought ads on my media channel
  2. Company 2- censored because they are friends to the government
  3. Company 3- threatened with goondas as well as law suits
  4. Company 4- included only so we can play with it’s stock price
  5. Company 5- a company on its way down and no friends to help

That is how the way the financial media reports news on companies in India. This is because unlike the United States , our SEBI ( equivalent to SEC) does not investigate insider trading with the same zeal as Preet Bharara does.

dlbrt-mktg-plan2

Sorry for the spam.

Unrelated-

http://www.indiaresource.org/campaigns/coke/2008/kaladeraunethical.html

http://www.siliconindia.com/news/business/10-Most-Unethical-Business-Actions-nid-124219-cid-3.html

 

 

The Supply Side of Data Science

People all over tell me how big the demand for data science is, and how much of a shortage of data scientists they see.

Screenshot from 2015-08-24 10:05:27

http://www.forbes.com/sites/gilpress/2015/04/30/the-supply-and-demand-of-data-scientists-what-the-surveys-say/

and a new survey by MIT (sponsored by SAS) points out to this looming shortage between the demand and supply of data scientists (side note-  still surprised why companies insist on registration in this era of OpenID for download of white papers like these

The Sloan Paper is very nice and points to this- the image above is from it . You can look here

People like IBM, Oracle, SAP, HP, SAS , Revolution Analytics, RStudio , Cloudera, Continiuum Analytics are focussing more on capturing on the demand for data science as it is very lucrative. They do so by providing enough resources in marketing to help explain their offerings, sponsoring though leaders , white papers. Training remains a back end activity- considered non critical to a software vendor in data science. Quite disappointingly these training are often expensive and lack customization for international audiences. Why not capture your training on videos and sell them for $20 , dear people.

But here lies the catch, if you train data scientists in your platform early on , you own them for life.

Perhaps software vendors can focus on their core competencies of data science demand satisfaction and invest in training collateral too.

djp

Some thoughts on this-

  • People need a human touch. Not everything can be automated via apps, videos, quizes. That is partly why Coursera  has a low pass rate.
  • Demand for data science teachers is even more tough than demand for plain data scientists
  • If you train people in your platform they champion that software wherever they go
  • Increasingly people want to be trained in multiple software to hedge risk to their career.
  • Independent cross platform trainers are even fewer than trainers who can train in one language or data science platform
  • Most training tends to be in English including MOOCs. This leaves out a big chunk of humanity who could have helped create the necessary data scientists including Chinese Arabic and Spanish speaking people
  • Governments have helped improve literacy but are ignorant on data science skill shortage. Partly because Governments find it even more tough to attract people skilled enough who can make data science policy.
  • The country with the best and maximum number of data scientists would win the race in the next few decades or atleast have a superb edge in innovation
  • Ask not what you can get from data science, ask what you can do to make more copies of yourself as a superb data scientist. This goes out to the data science celebrities
  • Machine learning continues to be woefully under taught in colleges especially in Asia (and I suspect in USA)
  • Many many Universities struggle to keep professors with tenure for life, updated for skills and new languages pertinent to data science
  • Some parts of the data science ecosystem remain prone to corruption and self centred tactics including influencing data science writers or analysts  . The sum of many local optima (vendors in software or training education) is not a global optima (for the industry, country, humanity)

everybody wants to use data science but nobody wants to help create more data scientists. do you agree or do you disagree?

 

also-

http://semanticommunity.info/AOL_Government/Data_Science_for_the_Government_Community/Building_Data_Science_Teams

Analytics for Startups

At our amazing Hauz Khas Village office in Cercles we have great startups working to help education , design tools, and generally help with making the world a better place

As a monthly initiative we gave this brief one hour demo on how even non data scientists (ugh!) can use analytics

Analytics for Startups and SMEs

Any takers please?

More Hispanic Data Scientists please

Our amazing Spanish language volunteer Isabel came to India to learn Sitar but also helps in her spare time to translate our presentations in Spanish.

We think the Spanish speaking world could do with more data scientists- to help us with Isabel helped volunteer with translation for Python   R and SAS languages in Science. Yes we think science needs more polyglots.

TopTrendsData2015

Have a look Amigos and Buno Data Science

Gracias Isabel

Python in Spanish

R in Spanish

SAS in Spanish