Brian Sletten's Data Science with R Workshop

Topics covered at DATA-SCIENCE-01-03
View Schedule & Book More dates available

Next up:

Join this workshop on DataScience with R to gain the skills you need to get started with data science, including statistical and numerical methods and R. You will also learn about visualising data, big data environments and how to interact with linked data in R. Upon completion of this DataScience workshop, you will have an understanding of relevant languages and tools.

As there is a rush to hire data scientists these days, there is a coincident rush to update resumes to include the term "Data Scientist". Unfortunately, like most types of science, it is less a single topic and more a multi-disciplinary way of thinking, inquiring and communicating. Individuals do not need to know everything about the field, but teams should be composed of individuals who collectively do.

Attending this workshop won't make you a data scientist overnight, but you will learn to be one in time and will have a study plan for moving forward in this field.

Learn how to:

Apply the following skills to start your progression to become a Data Scientist:

  • Math
  • Statistics
  • Machine learning
  • Visualization
  • Programming languages (R, Julia, Python)
  • Open source Data Science Tools
  • Big Data
  • Linked Data

What the community says

"Brian's material & ability to communicate are superlative."

Course Delegate on 16th Oct 2014

"Brian is an excellent teacher of these concepts."

Course Delegate on 16th Oct 2014

"Scintillating exposition about data science."

Course Delegate on 16th Oct 2014

"This last seminar is easily THE BEST session I attended."

Seminar Delegate on 16th Oct 2014


Course Delegate on 16th Oct 2014

About the Author

Brian Sletten

Brian Sletten has experience spanning defense, finance and commercial domains with security consulting, network matrix switch controls, 3D simulation/visualization, Grid Computing, P2P and Semantic Web-based systems.

  • Data Science as a field
  • Basic statistics and numerical methods for dealing with data
  • Doing Data Analysis in Spreadsheets
  • The R programming language, its environment and online ecosystem
  • R's visualization packages
  • Interacting and visualizing data with D3.js
  • Interacting with Big Data environments in R
  • Interacting with Linked Data in R


The course is intended for anyone who works as a developer, DBA, manager or business-oriented role with a technical leaning. It will be an engaging, hands on exposure to a wide variety of new skills as well as a path for moving forward in these various disciplines.


The course is intended for a wide audience and assumes only general programming skills.

Bring your own hardware

To benefit most from this Data Science course, please bring your own laptop, so you can develop with your own tools and languages, rather than something you are not familiar with.

If you are not able to bring in your own laptop, please contact the Skills Matter team on +44 207 1839040 or email info@skillsmatter.com