Mar 17: SQL and R – Introduction to Database Queries, taught by Ben Baumer, (Director of the Statistical & Data Sciences Program at Smith College, and served previously as the Statistical Analyst for the New York Mets) – for those seeking to query (not build) databases
Mar 24: Bayesian Statistics in R, taught by Peter Congdon, Research Professor in Quantitative Geography and Health Statistics at Queen Mary Univ. of London and the author of “Bayesian Statistical Modeling, Applied Bayesian Modeling,” and “Bayesian Models for Categorical Data.”
Mar 31: R Programming Intermediate, taught by Dr. Oliva C. Lau (self-described R ninja at Google) – systematic overview of R as a programming language, emphasizing good programming practices and the development of clear, concise code. After completing the course, you’ll be able to manipulate data programmatically using R functions of your own design.
They have kindly agreed to offer R-Bloggers readers a reduced rate of $399 for any of their 23 courses in R, Python, SQL or SAS (a saving of $150-$200). These are high-impact courses, each 4-weeks long (normally costing up to $589). They feature hands-on exercises and projects and the opportunity to receive answers online from leading experts like Paul Murrell (member of the R core development team), Chris Brunsdon (co-developer of the GISTools package), Ben Baumer (former statistician for the NY Mets baseball team), and others. These instructors will answer all your questions (via a private discussion forum) over a 4-week period.
You may pick any of the R courses from their catalog page: