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Three courses in R are starting tomorrow and two next week on Statistics.com. You may use the code “1qR-blogger-17″ when registering (offering a reduced rate of $399 instead of, around, $589 a course). List of R courses:
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.
There are no set hours when you must be online, and we estimate you will need about 15 hours per week. The instructor will be available to answer participant questions via a private discussion board throughout the period. These are not ‘MOOCs’ (massive online courses) — enrollment is limited, and your instructor will respond to each question that you ask.
Statistics.com is an online learning website with 100+ courses in statistics, analytics, data mining, text mining, forecasting, social network analysis, spatial analysis, etc.
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.
Save $150 in fees if you register at the same time for two courses – most of the above courses will also be given later in 2017, so you could sign up for one course now and one later. You can register for any R, Python, Hadoop, SQL or SAS course starting on any date. Here is a list of the R related courses.
You may pick any of the R courses from their catalog page: www.statistics.com/course-catalog/