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2-day Introduction to Data Science with R workshop, designed to provide a comprehensive introduction to R.
Thu, Jun 12, 2014 @ 09:00 AM   $1500   AlleyNYC, 500 7th Ave, 17th Fl
 
     
 
 
              

  
 
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<H3 STYLE="margin: 2px 0px 0px; font-size: 16px; line-height: 1.2em; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; padding: 0px 0px 8px; background-color: #f5f5f5;">Jun 12-13, 2014 - Introduction to Data Science with R</H3>
<P STYLE="line-height: normal; margin: 0px; padding: 0px 0px 8px; background-color: #f5f5f5;">SupStat (Official Training partner with RStudio Inc) is hosting our two day Introduction to Data Science with R course in New York City this June. This is a two-day workshop, designed to provide a comprehensive introduction to R. We'll get you programing and analyzing data with R in no time. All participants will receive a copy of all slides, exercises, data sets, and R scripts used in the course.</P>
<P STYLE="line-height: normal; margin: 0px; padding: 0px 0px 8px; background-color: #f5f5f5;">We will emphasize how you can get work done easiy with Rstudio IDE.</P>
<P STYLE="line-height: normal; margin: 0px; padding: 0px 0px 8px; background-color: #f5f5f5;"><IMG SRC="https://ebmedia.eventbrite.com/s3-s3/eventlogos/21486098/2322145600-3.png" ALT="" WIDTH="344" HEIGHT="107"></P>
<P STYLE="line-height: normal; margin: 0px; padding: 0px 0px 8px; background-color: #f5f5f5;"></P>
<P STYLE="line-height: normal; margin: 0px; padding: 0px 0px 8px; background-color: #f5f5f5;">Course Instructor:</P>
<P STYLE="line-height: normal; margin: 0px; padding: 0px 0px 8px; background-color: #f5f5f5;"><A HREF="https://www.linkedin.com/in/shangxuanzhang">Vivian S. Zhang</A> (CTO of SupStat, Organizer of NYC Open Data Meetup, Founder of NYC Data Science Academy)</P>
<P STYLE="line-height: normal; margin: 0px; padding: 0px 0px 8px; background-color: #f5f5f5;">Check our past students' excellent <A HREF="http://nycdatascience.com/testimonials/">testimonial</A></P>
<P STYLE="line-height: normal; margin: 0px; padding: 0px 0px 8px; background-color: #f5f5f5;"><EM>Discount pricing</EM>available for academics (33% off) and students (66% off). Space is limited, please write to <A HREF="mailto:vivian.zhang@supstat.com?Subject=Hello%20!" TARGET="_top"> Send Mail</A> to confirm your eligibility.</P>
<H3 STYLE="margin: 2px 0px 0px; font-size: 16px; line-height: 1.2em; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; padding: 0px 0px 8px; background-color: #f5f5f5;">Who should take this course?</H3>
<P STYLE="line-height: normal; margin: 0px; padding: 0px 0px 8px; background-color: #f5f5f5;">This class will be a good fit for you if you are just starting with R or have dabbled in R, but wish to improve your skills. No prior experience with R or data science is required.</P>
<H3 STYLE="margin: 2px 0px 0px; font-size: 16px; line-height: 1.2em; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; padding: 0px 0px 8px; background-color: #f5f5f5;">What will you learn?</H3>
<P STYLE="line-height: normal; margin: 0px; padding: 0px 0px 8px; background-color: #f5f5f5;">Practical skills for visualizing, transforming, and modeling data in R. During this two-day course, you will learn how to explore and understand data as well as how to do basic programming in R. A full list of topics for each day is below.</P>
<H3 STYLE="margin: 2px 0px 0px; font-size: 16px; line-height: 1.2em; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; padding: 0px 0px 8px; background-color: #f5f5f5;">What should you bring?</H3>
<P STYLE="line-height: normal; margin: 0px; padding: 0px 0px 8px; background-color: #f5f5f5;">Be ready to learn. You need your laptop and the latest version of<A STYLE="text-decoration: none; color: #0088cc;" HREF="http://cran.r-project.org/">R</A>. We also recommend downloading the <A STYLE="text-decoration: none; color: #0088cc;" HREF="http://rstudio.com/ide/">Rstudio IDE</A>, as it provides a great learning environment for beginners as well as tools for when you transition into an advanced user.</P>
<H3 STYLE="margin: 2px 0px 0px; font-size: 16px; line-height: 1.2em; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; padding: 0px 0px 8px; background-color: #f5f5f5;">Overview</H3>
<P STYLE="line-height: normal; margin: 0px; padding: 0px 0px 8px; background-color: #f5f5f5;">Are you interested in better understanding your data, and not so interested in mastering a programming language? Have you tried learning R from a book or website, but have been discouraged? If so, this is the course for you. We assume that you've never programmed before (although some experience doesn't hurt), and we teach you the best tools to help analyze your data.</P>
<P STYLE="line-height: normal; margin: 0px; padding: 0px 0px 8px; background-color: #f5f5f5;">You won't be a master programmer by the end of this two-day course, but through immersion you will have learned the basics of R's syntax and grammar, and you'll have started building an effective R vocabulary for visualizing, transforming, and modeling data. You will learn how to load, save, and transform data as well as how to write functions, generate beautiful graphs, and fit basic statistical models to your data. We'll give you a theoretical framework to help you understand the process of data analysis, but our focus is on practical tools that you can use as soon as you get back from the course.</P>
<P STYLE="line-height: normal; margin: 0px; padding: 0px 0px 8px; background-color: #f5f5f5;">All techniques are motivated by real problems, and you'll be exposed to a number of real datasets throughout the course. We alternate brief lectures with hands-on practice: you'll get plenty of experience actually using R (not just hearing about it!), and there's plenty of help available if you get stuck. The course concludes with a 90-minute data analysis project. You can use this as an opportunity to start using R with your data, or work on answering some of our questions about a dataset.</P>
<P STYLE="line-height: normal; margin: 0px; padding: 0px 0px 8px; background-color: #f5f5f5;">This tried and true course has been taken by over 200 students, from biologists to humanists, many of whom had never programmed before. This course teaches the basic skills needed by anyone seriously interested in data.</P>
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<H1 STYLE="font-size: 26px; margin: 0px; line-height: 28px; padding-bottom: 5px; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; background-color: #f5f5f5;">Day 1 - Getting started and working with data</H1>
<P STYLE="line-height: normal; margin: 0px; padding: 0px 0px 8px; background-color: #f5f5f5;"><SPAN STYLE="font-weight: bold;">Thursday, June 12nd, 2013</SPAN></P>
<P STYLE="line-height: normal; margin: 0px; padding: 0px 0px 8px; background-color: #f5f5f5;"><SPAN STYLE="font-weight: bold;">An Introduction to R and data analysis</SPAN>- R is more than just a programming language. R is a statistical software application in its own right, an environment for interactive data analysis, and a community of passionate users. This orientation to the R language will help you get up and running.</P>
<UL STYLE="margin: 0px; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 13px; line-height: 15.84000015258789px; background-color: #f5f5f5;">
<LI>How to download and update R and SupStat</LI>
<LI>How to find resources and help for R</LI>
<LI>Stages of data analysis</LI>
<LI>Best practices of data analysis</LI>
</UL>
<P STYLE="line-height: normal; margin: 0px; padding: 0px 0px 8px; background-color: #f5f5f5;"><SPAN STYLE="font-weight: bold;">Visualizing data</SPAN>- R's is well known for its beautiful graphics. R packages, like `ggplot2`, provide an expressive and logical language for building clear and effective data visualizations.</P>
<UL STYLE="margin: 0px; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 13px; line-height: 15.84000015258789px; background-color: #f5f5f5;">
<LI>Visualize the distribution of a variable</LI>
<LI>Exploring and plotting relationships between variables</LI>
<LI>Display very large data sets through graphs without over-plotting</LI>
<LI>Use best practices for Exploratory Data Analysis in R code</LI>
</UL>
<P STYLE="line-height: normal; margin: 0px; padding: 0px 0px 8px; background-color: #f5f5f5;"><SPAN STYLE="font-weight: bold;">Working with data</SPAN>- R is a programming language with a purpose: to analyze data. Learning how R stores and handles data will help you apply R to any data source.</P>
<UL STYLE="margin: 0px; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 13px; line-height: 15.84000015258789px; background-color: #f5f5f5;">
<LI>Loading different data formats into R</LI>
<LI>Working with factors in R</LI>
<LI>How to clean poorly formatted data</LI>
<LI>Saving your data</LI>
</UL>
<P STYLE="line-height: normal; margin: 0px; padding: 0px 0px 8px; background-color: #f5f5f5;"><SPAN STYLE="font-weight: bold;">Manipulating data</SPAN>- R's methods for data manipulation make it easy and fast to extract information from data sets and to prepare raw data for analysis.</P>
<UL STYLE="margin: 0px; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 13px; line-height: 15.84000015258789px; background-color: #f5f5f5;">
<LI>Subset, transform, summarize, and reorder data sets</LI>
<LI>Perform targeted, groupwise operations on data</LI>
<LI>Join multiple data sets together</LI>
</UL>
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<H1 STYLE="font-size: 26px; margin: 0px; line-height: 28px; padding-bottom: 5px; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; background-color: #f5f5f5;">Day 2 - Programming and modeling in R</H1>
<P STYLE="line-height: normal; margin: 0px; padding: 0px 0px 8px; background-color: #f5f5f5;"><SPAN STYLE="font-weight: bold;">Friday, Jun 13rd, 2013</SPAN></P>
<P STYLE="line-height: normal; margin: 0px; padding: 0px 0px 8px; background-color: #f5f5f5;"><SPAN STYLE="font-weight: bold;">Programming in R</SPAN>- Many people use R as an application, a sort of statistical calculator, but R is also a programming language. Once you learn to program in R, you will be a more versatile and capable data analyst. You'll learn to write code that provides the precise solutions you are looking for.</P>
<UL STYLE="margin: 0px; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 13px; line-height: 15.84000015258789px; background-color: #f5f5f5;">
<LI>Create an if else statement</LI>
<LI>Write and optimize for and while loops in R</LI>
<LI>Use best practices for programming in R</LI>
</UL>
<P STYLE="line-height: normal; margin: 0px; padding: 0px 0px 8px; background-color: #f5f5f5;"><SPAN STYLE="font-weight: bold;">R functions</SPAN>- Functions allow you to save your code for later or to share it with other R users. Knowing how to write a function will also streamline your workflow. Functions give code a more efficient structure that avoids duplication and aids debugging.</P>
<UL STYLE="margin: 0px; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 13px; line-height: 15.84000015258789px; background-color: #f5f5f5;">
<LI>Organize a problem into a series of functions</LI>
<LI>Write a function in R</LI>
<LI>Apply best practices for writing functions in R</LI>
</UL>
<P STYLE="line-height: normal; margin: 0px; padding: 0px 0px 8px; background-color: #f5f5f5;"><SPAN STYLE="font-weight: bold;">Simulation in R</SPAN>- Simulating data provides a way to test hypotheses and discover the uncertainty in your estimates.</P>
<UL STYLE="margin: 0px; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 13px; line-height: 15.84000015258789px; background-color: #f5f5f5;">
<LI>Generate random numbers in R</LI>
<LI>Visualize uncertainty with bootstrapping in R</LI>
<LI>Construct a confidence interval with bootstrapping in R</LI>
<LI>Test a hypothesis with a permutation test in R</LI>
</UL>
<P STYLE="line-height: normal; margin: 0px; padding: 0px 0px 8px; background-color: #f5f5f5;"><SPAN STYLE="font-weight: bold;">Modeling in R</SPAN>- R excels at statistical analysis and modeling, but its methods for modeling may seem unintuitive at first.</P>
<UL STYLE="margin: 0px; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 13px; line-height: 15.84000015258789px; background-color: #f5f5f5;">
<LI>Write a formula in R</LI>
<LI>Fit a model to data in R</LI>
<LI>Compare models</LI>
<LI>Explore data sets with models</LI>
</UL>
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<P STYLE="line-height: normal; margin: 0px; padding: 0px 0px 8px; background-color: #f5f5f5;"><SPAN STYLE="font-weight: bold;">Disclaimer:</SPAN></P>
<P STYLE="line-height: normal; margin: 0px; padding: 0px 0px 8px; background-color: #f5f5f5;">In certain cases, we may need to cancel this workshop due to circumstances beyond our control or otherwise. If this happens, SupStat will refund all registration fees for those who signed up. SupStat is not responsible for any related expenses incurred by registered attendees (including but not limited to travel and hotel expenses).</P>
<P STYLE="line-height: normal; margin: 0px; padding: 0px 0px 8px; background-color: #f5f5f5;"><SPAN STYLE="font-weight: bold;">Refund policy:</SPAN></P>
<P STYLE="line-height: normal; margin: 0px; padding: 0px 0px 8px; background-color: #f5f5f5;">Until May 30th, 2014 - Full refund, less 10% of registration fees<BR>May 31st, 2014 to June 5th, 2014 - 50% refund of registration fees<BR>Jun 06, 2014 and after - No refund available</P>
<P STYLE="line-height: normal; margin: 0px; padding: 0px 0px 8px; background-color: #f5f5f5;"><SPAN STYLE="font-weight: bold;">Money-back guarantee:</SPAN></P>
<P STYLE="line-height: normal; margin: 0px; padding: 0px 0px 8px; background-color: #f5f5f5;">All public workshops hosted by SupStat with a no-questions-asked money-back guarantee.</P>
 
 
 
 
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