Showing 1–10 of 17 results
In this course you will learn how to program in R and how to use R for effective data analysis
Advanced R Programming$50.00
This course covers advanced topics in R programming that are necessary for developing powerful, robust, and reusable data science tools.
Building Data Visualization Tools$50.00
Visualization remains one of the most powerful ways draw conclusions from data, but the influx of new data types requires the development of new visualization techniques and building blocks. This course provides you with the skills for creating those new visualization building blocks.
Building R Packages$50.00
This course covers the primary means by which R software is organized and distributed to others.
Building R Packages$0.00
This course covers the primary means by which R software is organized and distributed to others. We cover R package development, writing good documentation and vignettes, writing robust software, cross-platform development, continuous integration tools, and distributing packages via CRAN and GitHub. Learners will produce R packages that satisfy the criteria for submission to CRAN.
Case studies in business analytics with ACCENTURE$70.00
We want to ignite your reflection process. Hence, you will best make use of the Accenture cases by watching first the MOOC and then investigate by yourself on the different concepts, industries, or challenges that are introduced during the videos.
Deposit Only – Data Science Bootcamp: Intensive 12-week$16,000.00
This 12 week bootcamp will give a full data science introduction
Introduction to R: ETH Zurich$1,200.00
The course starts with an introduction to working with the R system, data import, basic data manipulation, and data visualisation.
Practical Data Science: Analyzing Stock Market Data with R
Learn basic financial technical analysis technics using R (quantmod, TTR) to better understand your favorites stocks.
R Programming Advanced$589.00
In this online course, “R Programming Advanced,” you will covers key concepts for writing advanced R code, emphasizing the design of functional and efficient code