The Practical Programmer: An Introduction to Data-Mining

1776 DC - 1133 15TH ST. NW 12TH FLOOR Washington - View Map Girl Develop It D.C.
Tue, Aug 12, 2014, 6:30 PM (EDT)

About this event

Do you work with data? Are you not afraid to program, but don’t know where to start? Join us for a hands-on introduction to programming for data-mining  applications. Learn how to break down problems like a programmer, use the R programming language to import, process, and create insights into your data, and what to do when you just have no idea what to do. This course will serve as a boot-camp style overview of how to get your wheels spinning as a new programmer in the data space. Topics covered will include:

- What programming words you absolutely need to know

- Fundamentals of working with data

- How developers actually figure stuff out

- Introduction to R

- Installing packages 

- Creating new variables

- Importing data

- Data preprocessing (ie getting rid of bad data)

- Logical Indexing (ie choosing parts of your data)

- Data visualization 

- Creating new files

Time allowing, we will go into data-mining concepts like clustering, classification, regressions, and touch on machine learning. A Q&A at the end will allow for discussion of the topics you want to talk about.

About the teacher

Brandon Bass is a Senior Energy Consultant at Navigant, working on development of proprietary web and platform applications, web-scraping utilities, and energy market models. Before Navigant, Brandon worked with Altenex, a Boston-based small business in the energy space, to develop their power market forecasting and risk analytics engine. Brandon completed his Masters in Engineering in Power Systems Engineering and Optimization, and his B.S. in Environmental Engineering, both from Cornell University. Brandon also does yoga, poorly. Once he moves out of his apartment, he wants to get a dog. 

http://brandon-d-bass.com/

Please bring/install the following on your computer prior to class:

• Your laptop and charger. Note: A netbook or tablet is NOT a substitute. 

• Download R http://cran.cnr.berkeley.edu/

• Download the R studio IDE  https://www.rstudio.com/ide/download/desktop

• A zip file containing data we'll use for class will be sent to students prior to class. 

Space for this class is generously provided by 1776 DC

Refund Policy: Your payment guarantees your seat in the course. If something changes after registration and you cannot attend the course, your seat is yours to sell or give to someone else - just please let us know who!  As a rule we don't offer refunds or credits;  Instead your class fee will go toward our chapter fund which we will use to establish a scholarship fund going forward.   That said, please do reach out and let us know if you have extenuating circumstances. 

When

Tuesday, Aug 12
6:30 PM - 8:30 PM (EDT)

Where

1776 DC
1133 15TH ST. NW 12TH FLOOR Washington