We have compiled a list of analytics training courses in India. This was done by research team. Please let us know of any errors. Kindly note all the information was taken from publicly available resources, and any complaints or feedback with be published transparently within this blog
We are trying to cut down the time taken by students to find proper analytics education, most of which is online and India is a major hub for analytics training .
Note 60 INR (rupees) ~ 1 USD
Companies covered (as of now ) are here.
|INSOFE (International School of engineering)|
|Academy for Decision Science & Analytics|
|Analytics Training Institute|
|Bridge School Of Management|
|IIT-D and Ivory Education|
We will be doing an evaluation and rating program later on.
you can download the complete database here for free
I have been quite absent on blogging here, and I apologize to regular readers. This is a list of things keeping me busy in 2014
2) Finishing my second book http://decisionstats.com/2014/09/21/my-new-book-r-for-cloud-computing/
3) Occasionally writing for Programmable Web https://www.programmableweb.com/profile/ajayohri
4) Occasionally writing for KDNuggets http://decisionstats.com/2014/04/01/writing-for-kdnuggets-com/
7) Expanding my LinkedIn connections to 10000 at https://www.linkedin.com/in/ajayohri
8 ) Reading a very big series of book ( Hint http://en.wikipedia.org/wiki/Game_of_Thrones )
You can reserve an online review copy of my new book R for Cloud Computing now. Some of you may want to order it (sales begin Jan 2015). I have tried to make it useful to people in analytics consulting and industry. Once again- its a non traditional approach to statistical computing. With much more computing and much less statistics.
I accept all criticism as feedback for helping me be a better and more humble analytics writer in the future, and wish to thank Springer team for helping me with Book 2.
- Covers full spectrum of R packages as well industry practices related to business analytics using cloud computing with multiples cloud vendors including Infrastructure, Platform and Software providers
- Step-by-step instruction on the use of R on the cloud, in addition to exercises, references, interviews and useful links
- Background information and exercises are all applied to practical cloud computing enabled big data business analysis topics, such as code examples on setting up analytics, connecting to APIs for both data as well as prediction and publishing results
R for Cloud Computing looks at some of the tasks performed by business analysts on the desktop (PC era) and helps the user navigate the wealth of information in R and its 4000 packages as well as transition the same analytics using the cloud. With this information the reader can select both cloud vendors and the sometimes confusing cloud ecosystem as well as the R packages that can help process the analytical tasks with minimum effort and cost, and maximum usefulness and customization. The use of Graphical User Interfaces (GUI) and Step by Step screenshot tutorials is emphasized in this book to lessen the famous learning curve in learning R and some of the needless confusion created in cloud computing that hinders its widespread adoption. This will help you kick-start analytics on the cloud including chapters on cloud computing, R, common tasks performed in analytics, scrutiny of big data analytics, and setting up and navigating cloud providers.
Readers are exposed to a breadth of cloud computing choices and analytics topics without being buried in needless depth. The included references and links allow the reader to pursue business analytics on the cloud easily. It is aimed at practical analytics and is easy to transition from existing analytical set up to the cloud on an open source system based primarily on R.
This book is aimed at industry practitioners with basic programming skills and students who want to enter analytics as a profession. Note the scope of the book is neither statistical theory nor graduate level research for statistics, but rather it is for business analytics practitioners. It will also help researchers and academics but at a practical rather than conceptual level.
The R statistical software is the fastest growing analytics platform in the world, and is established in both academia and corporations for robustness, reliability and accuracy. The cloud computing paradigm is firmly established as the next generation of computing from microprocessors to desktop PCs to cloud.
Content Level » Professional/practitioner
Keywords » Business Analytics – Cloud Computing – Data Analysis – Data Mining – Data Visualization – Forecasting – GUI Graphical User Interface – R software – Social Media Analysis -Social Network Analysis – Text Mining
Note my revised author byline
Ajay Ohri is the founder of analytics startup Decisionstats.com. He has pursued graduate courses at the University of Tennessee, Knoxville and completed a Masters from Indian Institute of Management, Lucknow. Ohri also has a mechanical engineering degree from the Delhi College of Engineering. He has interviewed more than 150 practitioners in analytics, including leading members from all the analytics software vendors. Ohri has written almost 2000 articles on his blog, in addition to writing about APIs for influential websites like ProgrammableWeb. Ohri’s current research interests include spreading open source analytics, analysing social media manipulation with mechanism design, simpler interfaces to cloud computing, investigating climate change manipulation and unorthodox cryptography including visual and quantum. He is currently advising multiple start ups in analytics off shoring, analytics services, and analytics education as well as using social media to enhance buzz for analytics products. Ajay works with R, SAS, Julia and Python languages and finds beauty in all of them.
I have been advising Adpative Systems Inc for the past few months. You can see their profile at http://adaptivesystemsinc.com/
Basically I am helping with making actionable analytics. It seemed a logical next step after my writing ( more on that later) to test whether my research and opinions work in the real world of consulting as well.
As part of that I have written a few articles and I will be doing software reviews as well
Some of the articles I have written are-
In this article I try and advocate a pragmatic and heterogeneous approach than an dogmatic approach to handle Big Data
In which I discuss analyzing the ROI on analytics software itself or analyzing software analytics itself
In which I try and formulate a guide to help you in the brave new world of Big Data brand clutter where every software vendor is claiming to be the best and the fastest.
It has been brought to my attention Through a LinkedIN message) that I have not been playing nice to people who have always been nice to me. I apologize.
I am neither pro or anti open source as of now in 2014, but I do like good software. I like the freedom that developer editions give. Since I dont code in C, Jave , C++ , showing me source code or not is of little use.
I also dislike bullshit by some companies that take free code from open source community as an excuse to subsidize their research and development costs,
but are selective about sharing both profits and code with the creators. People who create should be respected, and paid. Atleast more than talkative photogenic bloggers. I need to work on my anger management (not with Charlie Sheen). At 37 yrs old I cant afford to piss off people just because I am the cool hacker boy round the block.
I got featured in a Wired article recently- this is one of my very old ideas- basically an App store for Algorithms.
I briefly advised two startups in this space (but no longer do)
- this was the original article in ReadWriteWeb http://readwrite.com/2011/06/01/an-app-store-for-algorithms
Klint Finley took time to shoot me some questions and you can read the final article here.
I have now been featured in Wired , ReadWrite Web and a member of Star Trek has reblogged me on Tumblr! Geek heaven and I owe it all to the readers of Decisionstats.com!