Manning has a new discount code and a free excerpt of our book Practical Data Science with R, 2nd Edition: here.

This section is elementary, but things really pick up speed as later on (also available in a paid preview).

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Posted on Categories Administrativia, Pragmatic Data Science, Statistics## For a short time: Half Off Some Manning Data Science Books

Manning has a new discount code and a free excerpt of our book Practical Data Science with R, 2nd Edition: here.

This section is elementary, but things really pick up speed as later on (also available in a paid preview).

Please help share our news and this discount.

The second edition of our best-selling book *Practical Data Science with R ^{2}*, Zumel, Mount is featured as deal of the day at Manning.

The second edition isn’t finished yet, but chapters 1 through 4 are available in the Manning Early Access Program (MEAP), and we have finished chapters 5 and 6 which are now in production at Manning (so they should be available soon). The authors are hard at work on chapters 7 and 8 right now.

The discount gets you half off. Also the 2nd edition comes with a free e-copy the first edition (so you can jump ahead).

Here are the details in Tweetable form:

Deal of the Day January 13: Half off Practical Data Science with R, Second Edition. Use code dotd011319au at http://bit.ly/2SKAxe9.

The secret is out: Nina Zumel and I are busy working on *Practical Data Science with R ^{2}*, the second edition of our best selling book on learning data science using the R language.

Our publisher, Manning, has a great slide deck describing the book (and a discount code!!!) here:

We also just got back our part-1 technical review for the new book. Here is a quote from the technical review we are particularly proud of:

The dot notation for base

`R`

and the`dplyr`

package did make me stand up and think. Certain things suddenly made sense.

Some more *Practical Data Science with R* news.

*Practical Data Science with R* is the book we wish we had when we started in data science. *Practical Data Science with R, Second Edition* is the revision of that book with the packages we wish had been available at that time (in particular `vtreat`

, `cdata`

, and `wrapr`

). A second edition also lets us also correct some omissions, such as not demonstrating `data.table`

.

For your part: please help us get the word out about this book. Practical Data Science with R, Second Edition, R in Action, Second Edition, and Think Like a Data Scientist are Manning’s August 20th 2018 “Deal of the Day” (use code `dotd082018au`

at https://www.manning.com/dotd).

For our part we are busy revising chapters and setting up a new Github repository for examples and code and other reader resources.

We are pleased and excited to announce that we are working on a second edition of *Practical Data Science with R*!

Continue reading Announcing Practical Data Science with R, 2nd Edition

Four years ago today authors Nina Zumel and John Mount received our author’s copies of Practical Data Science with R!

Continue reading Four Years of Practical Data Science with R

Excited to see our new Hangul/Korean edition of “Practical Data Science with R” by Nina Zumel, John Mount, translated by Daekyoung Lim.

Continue reading Hangul/Korean edition of Practical Data Science with R!

We have updated the errata for Practical Data Science with R to reflect that it is no longer worth the effort to use the Java version of SQLScrewdriver as described.

We are very sorry for any confusion, trouble, or wasted effort bringing in Java software (something we are very familiar with, but forget not everybody uses) has caused readers. Also, database adapters for R have greatly improved, so we feel more confident depending on them alone. Practical Data Science with R remains an excellent book and a good resource to learn from that we are very proud of and fully support (hence errata). Continue reading Practical Data Science with R errata update: Java SQLScrewdriver replaced by R procedures and article

Writing a book is a sacrifice. It takes a lot of time, represents a lot of missed opportunities, and does not (directly) pay very well. If you do a good job it may pay back in good-will, but producing a serious book is a great challenge.

Nina Zumel and I definitely troubled over possibilities for some time before deciding to write *Practical Data Science with R*, Nina Zumel, John Mount, Manning 2014.

In the end we worked very hard to organize and share a lot of good material in what we feel is a very readable manner. But I think the first-author may have been signaling and preparing a bit earlier than I was aware we were writing a book. Please read on to see some of her prefiguring work. Continue reading Did she know we were writing a book?

Our publisher Manning Publications is celebrating the release of a new data science in Python title *Introducing Data Science* by offering it and other Manning titles at half off until Wednesday, May 18.

As part of the promotion you can also use the supplied discount code `mlcielenlt`

for half off some R titles including *R in Action*, Second Edition and our own *Practical Data Science with R*. Combine these with our half off code (`C3`

) for our R video course Introduction to Data Science and you can get a lot of top quality data science material at a deep discount.