The goal of Zumel/Mount: Practical Data Science with R is to teach, through guided practice, the skills of a data scientist. We define a data scientist as the person who organizes client input, data, infrastructure, statistics, mathematics and machine learning to deploy useful predictive models into production. Our plan to […]
It took a little longer than we’d hoped, but we did it! Practical Data Science with R will be released on April 2nd (physical version). The eBook version will follow soon after, on April 15th. You can preorder the pBook now on the Manning book page. The physical version comes […]
The release date for Zumel, Mount “Practical Data Science with R” is getting close. I thought I would share a few statistics about what goes into this kind of book.
Please forward and share this discount offer for our upcoming book. Manning Deal of the Day February 22: Half off Practical Data Science with R. Use code dotd022214au at http://www.manning.com/zumel/.
The last appendix has gone to the editors; the book is now content complete. What a relief! We are hoping to release the book late in the first quarter of next year. In the meantime, you can still get early drafts of our chapters through Manning’s Early Access program, if […]
Please share: Manning Deal of the Day November 19: Half off Practical Data Science with R. Use code dotd1119au at http://www.manning.com/zumel/.
I’ll be talking at the “Official” BARUG meeting Wednesday, August 21, 2013. The RSVPs look full (sorry) but I wanted to post a thanks to the organizers for considering me. If things go well I’ll see if I can post the slides later (not sure if that is useful without […]
Deal of the Day August 1: Half off my book Practical Data Science with R. Use code dotd0801au at http://www.manning.com/zumel/
A bit about our upcoming book “Practical Data Science with R”. Nina and I share our current draft of the front matter from the book, which is a description which will help you decide if this is the book for you (we hope that it is). Or this could be […]
We recently got this question from a subscriber to our book: … will you in any way describe what subject areas, backgrounds, courses etc. would help a non data scientist prepare themselves to at least understand at a deeper level why they techniques you will discuss work…and also understand the […]