Many respected teachers provide introductory training in R with RStudio. Other well-known experts provide consulting with statistics and R programming.
These are some of the teachers and consultants that we know about and encourage you to consider.
Complete the simple form to the right to request contact information, availability, and a detailed bio for each partner.
To learn about public workshops offered by RStudio trainers, visit our in person workshop schedule.
Our Valuable Solution Partners
Bob is an Accredited Professional Statistician™ who has taught R workshops for over 500 organizations. He is the author of two books and a website on R.
Robert A. Muenchen is the author of R for SAS and SPSS Users and, with Joseph M. Hilbe, R for Stata Users. He is also the creator of r4stats.com, a popular web site devoted to analyzing trends in analytics software and helping people learn the R language. Bob is an ASA Accredited Professional Statistician™ with 30 years of experience and is currently the manager of OIT Research Computing Support (formerly the Statistical Consulting Center) at the University of Tennessee. He has taught workshops on research computing topics for more than 500 organizations. Bob has written or coauthored over 70 articles published in scientific journals and conference proceedings, and has provided guidance on more than 1,000 graduate theses and dissertations.
Bob has served on the advisory boards of SAS Institute, SPSS Inc., StatAce OOD, the Statistical Graphics Corporation and PC Week Magazine. His suggested improvements have been incorporated into SAS, SPSS, StatAce, JMP, STATGRAPHICS and several R packages. His research interests include statistical computing, data graphics and visualization, text analytics, and data mining.
Bob also uses SAS, SPSS, Stata and StatAce, but he only teaches workshops using R.
I teach regularly scheduled workshops in October, January and April and I can usually teach one for a single organization with two weeks’ notice.
Jay is Director of Graduate Studies in the Department of Statistics at Yale University and author of several R packages, including bcp, bigmemory, and gpairs.
John W. Emerson (Jay) is Director of Graduate Studies in the Department of Statistics at Yale University. He teaches a range of graduate and undergraduate courses as well as workshops, tutorials, and short courses at all levels around the world. His interests are in computational statistics and graphics, and his applied work ranges from topics in sports statistics to bioinformatics, environmental statistics, and Big Data challenges.
Jay is the author of several R packages including bcp (for Bayesian change point analysis), bigmemory and sister packages (towards a scalable solution for statistical computing with massive data), and gpairs (for generalized pairs plots). His teaching style is engaging and his workshops are active, hands-on learning experiences.
Although I specialize in R, my training can include instruction on the C/C++ language interface. I’m also willing to do short courses ontopics in statistics and data analysis that would not be tied to specific software.
Availability depends on the time of year. I’m willing to consider
last-minute requests, but advance booking is appreciated.
Vivian is the CTO and Co-founder of the NYC Data Science Academy and SupStat, a data analytic consulting firm. She is an Adjunct Professor at Stony Brook University.
Vivian is the founder of SupStat, an international statistical consulting firm, and has been active in data mining, machine learning and applied statistics for 10 years.
With Master/Bachelor degree in Computer Science and Master degree in Statistics,Vivian has been immersed in data mining, machine learning, applied statistics, and computer science for 10+ years. Vivian has worked with Brown University’s Center of Statistics, Memorial Sloan Kettering’s Cancer Research Center, and Stony Brook Medical Center.
Vivian founded SupStat in 2013 with a dual mission — to empower everyone to master data analytic skills and to further the data science field through community contributions (blogs, articles, packages, education and training, and more). Vivian currently resides in New York City and runs SupStat New York’s office, the NYC Open Data Meetup, the New York R User Group, and NY Data Science Academy.
In addition to R, Vivian is familiar with Python, D3.js, Node.js, Hadoop, and Spark.
I am available during work day and weekend. Scheduling courses 5 business days in advance would be nice.
Ray is a Master R Instructor offering brain-friendly R training courses designed for busy working professionals. He also leads The Orange County Hadoop User Group.
Ray DiGiacomo is an R and Hadoop instructor from Southern California. Ray’s background in Enterprise Business Intelligence sets him apart from most R Trainers and allows him the opportunity to see both the trees and the forest of today’s modern analytics ecosystem. He also enjoys contributing to various globally respected organizations such as The Data Warehousing Institute, O’Reilly Media, The American Evaluation Association and The R Project. When Ray is not out changing the world with his company, Lion Data Systems, he can be found watching reality television with his family.
Four to six weeks of notice is preferred for on-site courses. Two to four weeks of notice is preferred for web-based courses.
Dirk writes and maintains many R packages, co-organizes the R/Finance conferences, and has taught R workshops in North America, Europe and Japan.
Dr Dirk Eddelbuettel has over eighteen years of quantitative finance experience during which he designed and implemented models for high-frequency trading, quantitative asset allocation, risk management and more. He is the author or coauthor of around twenty R packages including Rcpp, RInside and RQuantLib; creator / maintainer of the R SIG mailing lists for Finance, High-Performance Computing and Debian/Ubuntu; editor of the CRAN Task Views for Finance as well as High-Performance Computing; an editor at the Journal of Statistical Software; the Debian/Ubuntu maintainer for R, numerous CRAN packages and other quantitative software, has published several peer-reviewed paper as well as a book on Rcpp in Springer’s useR! series.
Dirk has been involved with the annual R/Finance conferences since the very beginning, has served on the programming committee for several useR! conferences and given invited talks or workshops about R, Finance and High-Performance Computing in the US, Canada, Europe and Japan. He holds a PhD and MA in Math Econ/Econometrics from EHESS Paris, and a MSc in Industrial Engineering from Karlsruhe Institue of Technology. He lives in Chicago with his wife, two daughters and a cat.
In addition to R, Dirk is familiar with C/C++, Unix/Linux, and shell scripting.
Some lead-time is preferable. I also have a constraint in my day job.
CEO of Lander Analytics, Adjunct professor at Columbia University, organizer of the NYC Open Statistical Programming and R meetups, and author of R for Everyone.
Jared Lander is the Founder and CEO of Lander Analytics, a data science consultancy based in New York City,; the Organizer of the New York Open Statistical Programming Meetup; and an Adjunct Professor of Statistics atColumbia University. He holds a masters from Columbia University in statistics and a bachelors from Muhlenberg College in mathematics, and he has experience in both academic research and industry. His work for both large and small organizations ranges from music and fund raising to finance and humanitarian relief efforts.
Jared specializes in data management, multilevel models, machine learning, generalized linear models, data management and statistical computing. He is the author of R for Everyone: Advanced Analytics and Graphics, a book about R Programming geared toward Data Scientists and Non-Statisticians alike.
For a sample of previous work please see the http://www.jaredlander.com/projects/ and for a selection of talks he as delivered please visit http://www.jaredlander.com/talks.
In addition to R, Jared is familiar with QlikView.
Ken Kleinman, ScD, is a biostatistician and an Associate Professor at Harvard Medical School. He’s co-authored 200 peer-reviewed papers and has written books and blogged about R for years.
Ken Kleinman, ScD, is an Associate Professor and biostatistician at Harvard Medical School. He is the author or co-author of 200 peer-reviewed papers that have been cited more than 11,000 times. His interests and publications range from statistical applications like missing data and random effects models to applied areas including surveillance, epidemiology, and experiments involving tens of thousands of persons. His consulting clients include universities, contract research firms, and foreign governments.
Dr. Kleinman has been a SAS user since 1991 and he has been using R and related software since 1996. His philosophy is that data analysts benefit when they have more tools in their statistical toolboxes– there’s little cost and great advantage to be gained by learning a new software package with different capabilities. His book: “SAS and R: Data Management, Statistical Analysis, and Graphics” was written to help SAS users make a quick entry into R. His associated blog, “SAS and R” (sas-and-r.blogspot.com), has been viewed more than 600,000 times. He has taught his training course, “R Boot Camp for SAS users,” in academia and internationally for a Fortune 100 company.
Dr. Kleinman uses mainly R and SAS, but has used Stata and many narrower-scope programs.
Foreign travel will likely need more lead time.
John Mount consults on algorithms, machine learning, optimization, and statistics. He is an author of the popular book Practical Data Science with R and a principal at Win-Vector LLC.
John Mount, PhD, is a principal consultant at Win-Vector LLC, a data science consulting firm. Win-Vector LLC is happy to talk to potential clients at any time.
SupStat is an international statistical computing consulting firm that uses open technologies to provide end-to-end data mining and machine learning solutions.
SupStat offers corporate training in R and its packages. SupStat is the main data science training vendor for 40+ firms, and it supports customized training that facilitates the use of RStudio and Revolution products.
SupStat also manages a training sub-brand, the NYC Data Science Academy. The Academy offere individual training, and has run regular classes in New York City, Silicon Valley, and Beijing since 2012. The NYC Data Science Academy offers courses in R, Python, Hadoop, and more and has trained over 500 students so far.
Andrea is a statistician who has worked as an R trainer and consultant for almost 20 years. He teaches on both sides of the Atlantic and runs the Quantide consulting firm.
I am a statistician who has worked as an R trainer and consultant for almost 20 years. I teach on both sides of the Atlantic, and learn something new with every course.
After my M.Sc. in applied statistics at University College London, I first worked as an S-PLUS engineer at Math-Soft and afterward as a consultant in applied statistics for a wide variety of industries. Here I was given the opportunity to play a role in many R based projects in different business areas such as: operational risk models, churn analysis and prevention, statistical quality process control for fast production data and many others.
Since 2007, I run Quantide, a small and successful company focused on R training and consulting.
In addition to R, I am familiar with Minitab and JMP.
Please schedule courses ideally one month, at least two weeks in advance. However, if I have availability on my agenda, it could be even less.
Colin is a statistician and an Associate Professor at Newcastle University, UK. He has taught courses on R for over ten years, attracting participants from around the world.
Colin Gillespie is a statistician and an Associate Professor at Newcastle University, UK, where he works on computational statistics, big data problems and scalable Bayesian inference. He supervises a number of PhD students and research associates.
Colin has been teaching R courses for around ten years. As well as providing on-site training, he also runs training courses at Newcastle University. His courses range from introductory R sessions to more advanced courses. See http://www.ncl.ac.uk/maths/rcourse/#description for a full description. These courses are convenient to attend; Newcastle has an airport less than 10 minutes from the city centre. The airport has links to the main hub airports Amsterdam, London Heathrow and Paris CDT.
I can possibly run a course at very short notice, but obviously more notice is better.
Gergely is an author, package developer, and organizer for the Hungarian R User Group. He teaches statistics and recently founded rapporter, an R-based reporting tool.
Gergely Daróczi is a former assistant professor in statistics and data analysis, a PhD candidate in Sociology, and a Linux sysadmin, as well as a husband and a father of two. Gergely maintains 5 CRAN packages and contributes to several others. He is a passionate R developer and open source enthusiast with a strong interest in web applications and automated reporting. Gergely recently co-authored an introductory book on quantitative finance with R, and is currently writing “Mastering data analysis with R” to be published at Packt at the end of 2014.
I can provide courses in both English and Hungarian.
Maarten-Jan has a PhD in Applied Mathematics and is chief scientist at BeDataDriven, a consultancy in data management and analysis. He is a veteran R user and instructor.
Maarten-Jan Kallen holds a PhD in Applied Mathematics from Delft University of Technology in the Netherlands. His expertise is in risk analysis and operations research, both of which borrow heavily from the fields of statistics, probability theory and computational optimization. He is managing partner and chief scientist at BeDataDriven, a company that provides consulting, training, and software development in the area of data management and analysis as well as predictive modeling. He has over a decade of experience in engineering consulting and a deep understanding of programming languages for data analysis such as R, Python, and Matlab.
Maarten-Jan started using R at version 1.9 which was introduced in early 2004 and has provided both open registration and on-site company trainings in the R programming language for a number of years. He is also one of the contributors to Renjin, the R interpreter that is written in Java to run on the Java Virtual Machine (JVM). He has had the opportunity to work for various large corporations that use R as part of their mission-critical tasks. This has given him insight in how R code can be successfully deployed and used in technically demanding environments by following best-of-practice software development techniques such as continuous integration, unit testing, dependency management, and automated documentation.
His R trainings are based on the latest version of GNU R and use the RStudio IDE for software development. He uses a hands-on approach with lots of exercises and real-world examples, backed by his own high quality training materials.
Please schedule courses a few months ahead of time for tailor-made trainings, or a few weeks ahead of time for introductory trainings. I can provide courses in both English and Dutch.
Karl-Kuno Kunze is the head of the R Institut and Professor for Business Mathematics and Statistics at Ostfalia University. He teaches R and holds PhDs in physics and economics.
Karl-Kuno Kunze is Professor for Business Mathematics and Statistics at Ostfalia University of applied Sciences in Braunschweig/Wolfenbüttel and has worked with R since 2004. He holds PhDs in both theoretical physics as well as economics. Almost all his time series and econometric research is done using R. He is translator and technical lecturer for Wiley and publishes regularly on selected topics of time series research. His academic interests are focused especially on long memory & chaotic time series. After more than a decade of applying quantitative concepts in the financial industry, most recently as managing director of a 100+ employee consulting boutique, Karl is now head of the R Institut, which he founded to boost acceptance of R in top notch German companies to the level of statistics software heavyweights .
Please schedule courses as early as possible. I can provide courses in both English, German, and French.
eoda is an IT company that specializes in data mining and predictive analytics with R. Our portfolio encompasses consulting, software development, integration and training.
eoda is an IT company specialized on data mining and predictive analytics. Our portfolio encompasses consulting, software development, integration and training. eoda is an interdisciplinary team consisting of engineers, economists, social scientists as well as statistics and IT experts. Our services extend over the entire workflow from the collection of data to data analysis to the interpretation of the results. eoda combines fundamentally sound knowledge of business processes with the competent application of the analytical methods.
eoda has a strong focus on the open source statistics programming language R. With the R Academy, eoda provides a unique holistic training and qualification concept for R. With the platform Results as a Service, eoda offers analytical applications as SaaS. In addition to their own solutions, eoda also provides an extensive portfolio of high quality data analysis solutions by their partners, Microsoft, Oracle, Revolution Analytics, RStudio, Salesforce, and talend.
We can provide trainings in both German and English.
Accuracy labs is a research, consulting and product development practice that offers patented analytics and reporting products that can integrate with your existing workflow.
Accuracy labs is a research, consulting and product development practice based in Andhra Pradesh, India. Our primary areas of expertise include innovative Analytics Engines in various business areas using Engineering statistics and modern business/data analytics, statistical learning and operations research.
Accuracy labs focusses on niche analytics areas to provide value based analytics engines to solve specific problems. Our “Self Service User Analytics” product lets users generate reports on location without the need of IT. Our other products address analytics in various areas without deviating customers from current data warehousing or BI solutions investments.
- We have patents for some of our analytics engines:
- Intelligent Demand engine
- Facial analytics engine
- Customer analytics engine
- Mobile analytics engine
- Profile analytics engine
- Social analytics engine
Courses provided in English. Please schedule courses one month in advance.