Webinar and free e-book on data preparation with R

March 15, 2016
By

(This article was first published on Revolutions, and kindly contributed to R-bloggers)

Just a quick heads up that Nina Zumel, co-founder and principal consultant at Win-Vector LLC will be presenting a webinar at 10AM Pacific Time on Thursday March 17, Data Preparation Techniques with R. Nina is the co-author of Practical Data Science with R and blogs frequently at the Win-Vector blog (and contributes the occasional guest blog here), and has a wealth of experience managing data in R as a consultant. This webinar will be a great opportunity to learn tips and tricks from Nina on the best way to handle real-world data sets in R.

I'll be hosting the webinar and delivering your questions to Nina live during the event. If you can't join live, you'll receive an email afetr the event with a link to the slides and replay. All registrants will also receive a free copy of the new e-book Preparing Data for Analysis with R by our presenter, Nina Zumel.

Headshots

Data quality is the single most important item to the success of your data science project. Preparing data for analysis is one of the most important, laborious and yet, neglected aspects of data science. Many of the routine steps can be automated in a principled manner. This webinar will lay out the statistical fundamentals of preparing data. Our speaker, Nina Zumel, principal consultant and co-founder of Win-Vector, LLC, will cover what goes wrong with data and how you can detect the problems and fix them.

To register for the webinar and receive your free e-book, follow the link below.

Microsoft Advanced Analytics and IoT: Data Preparation Techniques with R

To leave a comment for the author, please follow the link and comment on their blog: Revolutions.

R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...



If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.

Search R-bloggers


Sponsors

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)