A growing number of teachers provide training in R with RStudio. Others provide expert 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.

Training and Consulting Partner Directory

= Provides introductory R training
= Provides consulting services
= Provides consulting services on Shiny apps. These consultants know how to build, deploy, and improve interactive web apps with Shiny and R.

United States & Canada

Bob Muenchen
Bob MuenchenKnoxville, TN

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. Bob 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 over 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., the Statistical Graphics Corporation, Intuitics OOD, and PC Week Magazine. His suggested improvements have been incorporated into SAS, SPSS, JMP, STATGRAPHICS, Intuitics, and several R packages. His research interests include statistical computing, data graphics and visualization, text analytics, and data mining.

Bob also uses SAS, SPSS, and Stata, but he only teaches workshops using R. He is usually available to teach a workshop for your organization with 3-4 weeks’ notice.

“I am available to provide on-site training in North America, and I also offer training via the web. My style of training readily adapts from one-on-one to groups of 100 or more.”
Jay Emerson
Jay EmersonNew Haven, CT

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.

“I do not offer web training, but I am also willing to travel anywhere. I will consider any sized group.”
Vivian S. Zhang
Vivian S. ZhangNew York City, NY

Vivian is the CTO and Co-founder of the NYC Data Science Academy and SupStat Inc. She is an Adjunct Professor at Stony Brook University and NYU, and organizes the NYC Open Data Meetup.
Vivian is the CTO and Co-founder of the NYC Data Science Academy and SupStat Inc, an international statistical consulting firm. She organizes the NYC Open Data Meetup and is an Adjunct Professor at Stony Brook University and New York University.

With a Master’s/Bachelor’s degree in Computer Science and a Master’s 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.

“I offer web training, and I am also willing to travel anywhere. My typical class size is up to 40 students.”
Ray DiGiacomo, Jr.
Ray DiGiacomo, Jr.Irvine, CA

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.

“I offer web-based training and am also willing to travel to your office for on-site instruction. I offer classes to those with deep backgrounds in SAS and/or SPSS and those with little to no statistical computing experience.”
Dirk Eddelbuettel
Dirk EddelbuettelChicago, IL

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.

“I offer web training, and I am also willing to travel anywhere in North America (preferably). My typical class size ranges from several students to a full auditorium.”
Jared P. Lander
Jared P. LanderNew York City, NY

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 at Columbia 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 fundraising 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.

“I offer web training, and I am also willing to travel anywhere. My typical class size is from 5 to 100 students.”
Ken Kleinman
Ken KleinmanBoston, MA

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.

“I will consider web training, and I am also willing to travel anywhere. My typical class size is 10 to 24 students.”
Isabella Ghement
Isabella GhementVancouver, BC

Dr. Isabella R. Ghement is an independent statistical consultant and a trainer who has extensive R training experience. She is based in Vancouver, British Columbia, Canada.
Dr. Isabella R. Ghement is an independent statistical consultant and trainer based in Vancouver, Canada, British Columbia. She has extensive R training experience and most recently presented the one-day continuing education course “Take Your R Skills to the Next Level” at the Joint Statistical Meetings held by the American Statistical Association in Boston in August 2014. Between 2007 and 2012, Dr. Ghement taught on a yearly basis an advanced regression course using R to graduate students in the Sauder School of Business at the University of British Columbia.

Dr. Ghement provides statistical consulting services through her company Ghement Statistical Consulting Company Ltd. These services include providing clients with study design assistance, conducting complex statistical analyses, developing statistical reports, preparing and reviewing scientific manuscripts, and developing R code for automating statistical analyses and statistical reporting. Dr. Ghement’s consulting clients include federal and provincial government agencies, contract research organizations and academic researchers.

For consulting, Dr. Ghement uses a variety of statistical software (e.g., SPSS, Stata, Matlab, Mplus), but her training is conducted in R (although she is working on developing an introductory course on Python and its interfacing with R). Her research expertise covers areas such as partially linear regression modeling, robust regression modeling, mixed treatment comparisons, environmental statistics and medical statistics.

Please contact Dr. Ghement at least two months in advanced to arrange a training.

“I will consider web training, and I am also willing to travel within the United States and Canada. My typical class size is up to 20 students.”
Stephen Elston
Stephen ElstonSeattle, WA

Dr. Stephen Elston is the Managing Director of Quantia Analytics. He provides consulting and training in predictive analytics, machine learning, data science, and R.
Dr. Stephen F. Elston focuses on analytic solutions that create value in data driven businesses. His consulting and classes help organizations plan and implement their first analytics solutions, improve existing analytics solutions, or scale solutions to meet growing data volumes. Steve assists clients with architecture, implementation and deployment of the full analytics stack.
Currently, Steve is working with Adam Diaz on a book, R for Big data, with a planned publication in late 2015. In a recent project, Steve created training materials and an O’Reilly webcast and booklet for Microsoft’s Azure Machine Learning with R.

Steve started using the original Bell Labs distribution of the S language in the 1980’s. He later led R&D for the S-PLUS companies which commercialized S. Recently, he has created analytic solutions using R, Python, SQL, noSQL and big data platform technologies.

Before founding Quantia, he cofounded of FinAnalytica, Inc a company which creates and markets sophisticated risk models. Steve holds a PhD degree in Geophysics from Princeton University.
Dr. Elston can be available for consulting on short notice (depending on prior commitments). Training classes may require several weeks to schedule and prepare.

“I will consider web training, and I am also willing to travel anywhere. My typical class size is between 2 and 25 students.”
Zev Ross
Zev RossIthaca, NY

As president of ZevRoss Spatial Analysis, Zev provides data science, statistics and data visualization consulting to some of the world’s largest health agencies and companies.
Zev Ross, president of ZevRoss Spatial Analysis, has used R on a daily basis for more than 10 years to conduct data analysis and statistics for clients ranging from nonprofits and local businesses to large agencies, universities and companies. Clients include the World Health Organization, California Department of Public Health, UCLA, Columbia University, the Natural Resources Defense Council and Live Nation Entertainment. Zev has authored or co-authored 30 articles in scientific journals and maintains a popular data science blog where he regularly posts on R-related topics.

He has also been a Visiting Lecturer at Cornell University, served on scientific review panels for the Health Effects Institute and the Ontario Institute for Cancer Research and has been a member of the American Cancer Society’s expert roundtable on Spatial Measures of the Environment.

Zev regularly teaches a 1.5 day, in-person R workshop, “Up and Running with R”, designed to provide the solid foundation of experience and skills necessary to work with R independently. The workshop covers the basics of the R language, data manipulation with R, a brief section on statistics and a half-day on data visualization using the powerful R package ggplot2. To fit with busy schedules the workshop can be held on weekdays or weekends.

In addition to R, Zev uses tools like Python, JavaScript, PostgreSQL, QGIS, ArcGIS, PostGIS, Leaflet, CartoDB and MapBox to conduct data science research and produce online, interactive data visualizations.

Zev can be available on short notice to provide consulting on data analysis, statistics, data visualization and mapping as well as training in R.

“I am willing to travel anywhere to give a training, but I do not offer web training at this time. My typical class size is up to 20 students.”
Rich Majerus
Rich MajerusVassalboro, ME

Rich Majerus is the Director of Advancement Strategy and Analysis at Colby College. He consults with college faculty and staff on innovative and data informed initiatives.
Rich is a higher education professional. Prior to his work at Colby College, Rich worked as a Data Visualization Specialist at Reed College and as an Assistant Dean of Admissions at Carleton College. His consulting and training focuses on ways to integrate predictive analytics and digital technologies into higher education administration. Rich has consulted with college presidents, vice presidents and deans on strategic initiatives and has taught R workshops for college faculty, administrators and students.

Rich has experience teaching at both the secondary and post-secondary levels and prides himself on integrating current pedagogical practices into his R workshops. Additionally, he presents regularly at national higher education conferences on developing data informed strategies using R. You will find links to his recent presentations as well as examples of his shiny applications at his website.

Please provide two or more weeks notice if arranging a training.

“I am willing to travel anywhere in the US to give a training, but I do not offer web training at this time. My typical class size is 5 to 20 students.”
Win-Vector LLC
Win-Vector LLCSan Francisco, CA

Win-Vector LLC consults and trains on algorithms, machine learning, optimization, statistics, and implementations (including R and Shiny).
Our consultants include the authors of the popular book Practical Data Science with R.

John Mount, PhD, has over 10 years of experience in research, machine learning, and data science. He is a co-author of the popular book Practical Data Science with R, and blogs often on mathematics, machine learning, and optimization.

Nina Zumel, PhD, has over 10 years of experience in research, machine learning, and data science. She is a co-author of the popular book Practical Data Science with R, co-author of the EMC data scientist certification program, and blogs often on statistics, data science, and data visualization.

Win-Vector LLC is happy to talk to potential clients at any time.

Will consider consulting projects, web training, and in person training. We are willing to travel to most of the United States and will train classes of any size.
SupStat
SupStatNew York City, NY

SupStat Inc is an international statistical consulting firm that provides end-to-end data mining and machine learning solutions. SupStat specializes at building Shiny web applications.
SupStat Inc is an international statistical consulting firm that uses open technologies to provide end-to-end big data and machine learning solutions. SupStat specializes at building Shiny web applications.

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 offers 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.

SupStat has offices in New York City, Beijing, and Shanghai, and is well known as a source of R training and consulting in both the US and China.

“Our trainers offer web training, and are willing to travel anywhere. Our typical class size is up to 40 students.”
ProCogia
ProCogiaSeattle, US and Vancouver, BC

At ProCogia we love data. Our consultants are passionate about data driven solutions and finding the answers to your toughest questions. We work across all types of industries.
At ProCogia we love data. Our people are passionate about data driven solutions and finding the answers to your toughest questions. Data Analysis is both an art and science and our people not only have an analytical mindset but also a creative approach to solving problems. Our intellectually curious minds come from diverse backgrounds but everyone at ProCogia shares the culture of respect, integrity, support and putting the clients first. We are not only committed to pushing ourselves to strive harder but also challenge our clients to do the same so that we can deliver measurable and lasting results.

Data volumes are growing exponentially everywhere. Billions have been spent on building out the infrastructure for BI but that has not harnessed the value the data holds. ProCogia was formed to unlock this value.

We work with our clients to get answers to the most pressing issues that require deep functional expertise. We help to create competitive advantage and take out the ambiguity from decision making by providing timely actionable insights from analyzing the client’s data. Partnering with clients, we create better outcomes than either of us could individually. Combining client’s data with our expertise, allows our clients to mitigate business risks and make decisions with confidence and clarity. We ensure that these decisions turn into actions to achieve the desired results and institutionalize the use of data driven decision making. We do this in a sustainable manner for our customers, employees and partners.

We work across all types of industries, with all kinds of clients:

  • Large multinational corporations
  • Leading private equity firms
  • Mid-size companies
  • Small start-ups
  • Non-profit organizations
Next Level Analytics
Next Level AnalyticsToronto, ON

Next Level Analytics Inc. is a consulting firm that specializes in modelling, analytics, and customized solutions for enterprises. Let us help find the solution that is right for you.
Companies have an increasing amount of data that can be converted into information to assist in making business decisions. Next Level Analytics Inc. is a consulting firm focused on helping businesses to make sense of their data, and helping them solve their pressing analytical problems.

Next Level Analytics was founded in 2011 by faculty members of the management science department at a Canadian business school. They specialize in advanced analytics, and problem solving using their backgrounds in statistics and high performance computing. All of the solutions provided have a strong focus on making complex solutions easy to understand, and beneficial for clients.

In addition to consulting services, Next Level Analytics offers training services. Training services are targeted at all level of R users, and designed to assist everyone in using the built in R tools to become effective analysts.

Please contact us one month in advance to schedule trainings.

“Our instructors offer web training and are willing to travel within Ontario, the Canadian East Coast, the US East Coast and the Midwest. Our typical class size is 5-80 students.”

Europe

Andrea Spano
Andrea SpanoMilan, Italy

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.

“I offer web training, and I am also willing to travel anywhere. My typical class size is up to 15 students.”
Colin Gillespie
Colin GillespieNewcastle upon Tyne, UK

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, including how to design and build Shiny apps. 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.

“I offer web training, and I am also willing to travel within the UK and Europe (preferably). My typical class size is up to 20 students, but I could lead larger courses depending on location and available help.”
Maarten-Jan Kallen
Maarten-Jan KallenThe Hague, Netherlands

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.

“I am willing to travel anywhere. My typical class size is up to 12 students.”
Vincent Warmerdam
Vincent WarmerdamAmsterdam, Netherlands

Vincent D. Warmerdam is a data scientist at GoDataDriven, the leading big data science consultancy firm in the Netherlands.
Vincent loves to talk at conferences and is very active in meetup communities surrounding open source data science. He is fluent in R, python and javascript but also explores scala and julia. Before working for GoDataDriven he worked as an independent data scientist/developer and gave lectures in statistics and mathematics at Nyenrode. Sometimes he writes about his nerd hobbies on his blog over at http://koaning.github.io.

Vincent can provide trainings in both English and Dutch.

Please schedule training sessions two months in advance.

“I offer training and consulting with R. I am willing to travel within Europe (and possibly outside of it), and my typical class size is 4-12 students. I usually teach in person, but will consider web training.”
Karl-Kuno Kunze
Karl-Kuno KunzeBerlin, Germany

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 English, German, and French.

“I am willing to travel within Europe, Africa, and the Arabian peninsula. My typical class size is 8 students. I offer in-house trainings for groups of 3 or more.”
Stefan Milton Bache
Stefan Milton BacheAarhus, Denmark

Dr. Stefan Bache is cofounder of Rhus.club and the Copenhagen useR group, and author of the magrittr and ensurer R packages. Stefan offers one-on-one micro-training/consulting.
Stefan holds a PhD in econometrics, a branch of statistics, a MSc in economics and finance, and a BSc in business administration. He has used R for more than 5 years, and taught both small and large R classes and stats classes where R was employed. He co-founded two useR groups, CopenhagenR and Rhus.club, and authored several packages, both open source (e.g. magrittr w/Hadley Wickham, and ensurer) and non-public packages for business.

Stefan offers one-to-one “micro-training/consulting” via the web/Skype. This is a great way to get insight/understanding/perspective on various concepts, or get feedback/suggestions on stuff that you are working on. Have you been stuck with questions like “What is method dispatch, and why should I care?”, “Why and how should I avoid looping in R”, “What are some essential things to have in mind when authoring functions?”, “Why does my function not work?”, or similar? It could also be an introduction to a topic like “pipelines for data analysis” or “making codes more robust”.

For some it can be tough to understand/choose between explanations offered in forums, or maybe you just learn better with real-time dialogues. A session could be as short as 10-15 minutes or whatever suits the question/topic best, and is meant primarily for beginners / intermediate R programmers. It is also possible to “meet” regularly for discussing e.g. project progress.

Stephan also offers (physical) introductory short-courses in Denmark (or close-by), and is willing to consider other kinds of requests and training possibilities. He does not currently offer large-scale consulting or long-term training.

Stefan can provide trainings in both Danish and English.

Micro-sessions will not need too much lead time, depending on Stefan’s availability. Physical short-courses will need to be planned ahead.

“I offer one on one web training/consulting, and also train medium sized groups in person. I’m willing to consider travel on a case-by-case basis.”
Vincent Guyader
Vincent GuyaderFrance

Vincent Guyader is a a french statistician and President of ThinkR, a company which helps businesses migrate to R. He teaches R in finance, insurance, marketing, and life sciences.
Vincent Guyader is a a french statistician and professional R trainer since 2008. He has a background in life sciences, but also teaches R in finance, insurance and marketing. Vincent is the President of ThinkR, a company which helps businesses migrate to R.

Vincent can provide trainings in French only.

Please schedule training sessions two to three weeks in advance.

“I offer training and consulting with R. I am willing to travel to places near France and Belgium, and my typical class size is 1-10 students. I offer training both in person and over the web.”
eoda
eodaKassel, Germany

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.

eoda instructors are willing to travel anywhere. We also deliver training over the web. Our typical class size is up to 10 students.
BNOSAC
BNOSACBelgium

The Belgium Network of Open Source Analytical Consultants (BNOSAC) provides training and consulting with a focus on data mining, BI, statistical engineering and advanced AI.
The Belgium Network of Open Source Analytical Consultants (BNOSAC) provides consultancy services for a broad range of statistical, spatial, text mining, biostatistical and general data science topics. This includes R developments, R integrations, R package development and R automation. We also support Oracle R Enterprise at different client locations.

We offer the following training courses:

  • Introduction to R
  • Advanced R programming topics
  • Using SVN/git with RStudio
  • Data connectivity using R
  • Oracle R Enterprise
  • Managing R processes
  • Basic statistical modelling
  • Statistical Machine learning with R
  • Text mining with R
  • Spatial modelling with R

Some of these courses are offered in cooperation with LStat (lstat.kuleuven.be) in Leuven.

We can provide trainings in English, Dutch, and French.

BNOSAC instructors are willing to travel within western Europe; we focus on Benelux, UK, Germany, France, and Switzerland. We do not offer training over the web. Our typical class size is up to 5 to 30 students.

Asia

Accuracy Labs
Accuracy LabsHyderabad, India

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.

Accuracy labs offers web training, and is willing to travel within India and Southeast Asia. Our typical class size is up to 20 students.
SupStat
SupStatBeijing and Shanghai, China

SupStat Inc is an international statistical consulting firm that provides end-to-end data mining and machine learning solutions. SupStat specializes at building Shiny web applications.
SupStat Inc is an international statistical consulting firm that uses open technologies to provide end-to-end big data and machine learning solutions. SupStat specializes at building Shiny web applications.

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 offers 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.

SupStat has offices in New York City, Beijing, and Shanghai, and is well known as a source of R training and consulting in both the US and China.

“Our trainers offer web training, and are willing to travel anywhere. Our typical class size is up to 40 students.”