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My second book – R for Cloud Computing : An Approach for Data Scientists is now ready for sale ( ebook). Softcover should be available within a month. Some of you have already booked an online review copy. It has taken me 2 years to write this book, and as always I accept all feedback on how to be a better writer.
I would like to especially thank Hannah Bracken of Springer Publishing for this.
and I dedicate this book to my 7 year son Kush.
“Everything that is good in me, come from your love, Kush“
A recent training I created and gave
By DecisionStats Research Team
Workspace is an exciting concept and gives one an opportunity to work – away from home and collaborate, brainstorm, network and socialise. We are visiting workspaces this month and the following one and will be presenting a series of reviews to our readers. The first one is Social Offline that we visited on the third Tuesday of September this year and here is the review:
SOCIAL OFFLINE’S intent is connecting people offline while they are online. They come with three different offerings: Workspace, dining and bar. The Workspace and the dining restaurant operate during the day and the bar after working hours. The place is in the sideways of Hauz Khas Village in Delhi. The entry to the place is different and interesting. A graffiti alley leads you to a security check and then inside of it. The place has rustic interiors with wooden furniture, red brick unplastered walls, dim lighting with hanging bulbs from the ceiling and low volume music. It is spacious with two floors. The ground floor lounge hosts some workspace and a restaurant. The first floor is all about the workspace with a conference room and a balcony. As a workspace it offers a casual ambience, intending it to be fun though, wherein an individual can come daily at a chosen workstation or a different desk everytime and work. One can find all kinds of people here, entrepreneurs, freelancers. startup individuals, artists, work from home individuals. It offers an individual all the facilities of an office – internet connection, air conditioning, power back up, conference room with whiteboard and projector, food and drinks. The space is limited to 50 seats with a fee of INR 5,000 a month for 1 seat and that can be redeemed for food and drinks. One can apply online for a workspace and maximum two seats are allowed for a team. The selection process is little rigorous as management has its own criteria based on the profile of the applicant and some other considerations.
And about the food, the place offers a variety of food and drinks with its own unique presentation style – army plates, some of the drinks in pickle tumblers etc. The menu card is in the form of a rolled newspaper placed in a cutlery holder with a roll of tissue paper. We ordered one veggie sandwich which had four servings nicely packed on top of each other giving the sandwich a skyscraper frame. This presentation did bring a smile over our faces. The salads we ordered had veggies with semi-boiled eggs in it but could have been better if there had been an option of only veggie salad as well. The food menu was different on the two floors with fewer options on the first floor. We found the price of food a little on a higher side while drinks we have heard are reasonably priced, we didn’t try them though.
The plus point about the place for those who want to consider it as a workspace is its casual feel and the view from its balcony, which overlooks some greenery and gives the feel of a hill station. But the negative point is that the balcony is a smoking zone as well which might thwart some to enter there and enjoy. Also the dim lighting across the entire space gives Social the mood and feel of a bar and not the work ambience. For us the right work ambience will be more lighting, little more seriousness in terms of ambience, people’s speech volume and a smoke free balcony.
Social Offline as an experience does deserve a one-time visit and an exploration. And I am sure readers can then make a choice of future visits based on their preferences and likes.
Social offline has three branches – Delhi, Mumbai and Bangalore and the workspace timing is 11am to 6 pm (Monday to Friday). This place also holds art exhibits, comic acts, in-house and guest DJ events. Website: http://www.socialoffline.in, Email:firstname.lastname@example.org, Address (Delhi): 9A & 12, Hauz Khas Village, New Delhi -110016, Phone: 07838652814
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.