Data Science Workshop: R Bootcamp

With both the morning and afternoon sessions sold out, I have added an "EventStarter" for another R Bootcamp. Please rsvp here BUT do not pay. Once we have critical mass then we can approach instructors to set up a date, and then go from there.

https://www.meetup.com/Boston-Predictive-Analytics/events/75867672/

*** Be sure to install the latest version of R and RStudio. If you have older versions, you should upgrade before this class. Install links are below ***

Outline:

Will take breaks accordingly based on feedback from everyone. At tonight's test run I asked folks about snacks and the feedback was to both have folks bring their snacks of choice, and to also have some snack bars, fruit as backup. Microsoft NERD provides soda and has some Keurig-like coffee machines. Please let me know if you have any questions.

09:30 Acknowledgements, Overview - 5 min

09:35 R-Paradigm - 5 min

09:40 R-Studio - 30 min

10:10 Data Management- 30 min

10:40 Break - 10 min

10:50 Data Management - 20 min

11:10 Functions - 30 min

11:40 Break - 10 min

11:50 Graphics - 50 min

12:40 Advanced Stats - 10 min

12:50 Recap - 5 min

12:55 Closing Remarks - 5 min

Please arrive at the workshop with R, RStudio loaded on your laptop. Some links for each depending on your operating system are here:

R

R can be dowloaded from The Comprehensive R Archive Network (http://cran.r-project.org (http://cran.r-project.org/)):

Windows: http://cran.r-project.org/bin/windows/base/R-2.15.1-win.exe

Mac: http://cran.r-project.org/bin/macosx/R-2.15.1.pkg

Linux: Binaries & source available @ http://cran.r-project.org/bin/linux/

RStudio

Download RStudio Desktop from their site: http://rstudio.org/download/desktop

Windows: http://download1.rstudio.org/RStudio-0.96.316.exe

Mac: http://download1.rstudio.org/RStudio-0.96.316.dmg

Linux: Binaries & source available @ http://rstudio.org/download/desktop

This 3.5 hour course is the first in a series of hands-on workshops focused on learning R which is fast becoming an essential tool for data mining, machine learning, predictive analytics, and traditional statistics. Facebook, Google, and the New York Times all use R for complex data analysis as well as elaborate graphics; and numerous employers are actively seeking strong R skills.

The workshop is designed to get folks up and running, and will cover the basics of R including data management and moving real-world data in and out, performing analytics and generating data visualizations using various graphic packages. After completing this hands-on workshop, you'll have a foundation for moving onto more extensive analysis in R.

The workshop is being taught by David Weisman and Jeffrey Breen. David Weisman has consulted in computer science and software engineering for 25 years and has also earned his Ph.D. in molecular biology, focused heavily in bioinformatics and big data mining. He uses R extensively throughout his work. Currently, he is consulting in the analytic field including helping with the design of a grad-level data mining course; as well as researching and teaching bioinformatics.

Jeffrey Breen is the President and Co-Founder at Atmosphere Research Group. He has presented at the R User group multiple times as well for the Predictive Analytics group including talks on Twitter Sentiment Analysis with R; and also at the March Big Data Workshop where he covered several topics pertaining to R and Hadoop.

Many thanks to Microsoft NERD for hosting this event. Hope to see you there!