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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.
Capstone: Create Value from Open Data$90.00
The Capstone project is an individual assignment. Participants decide the theme they want to explore and define the issue they want to solve.
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.
Data Science Certification Training – R Programming$400.00
Become an expert in the various data analytics techniques using R.
Statistics and R$0.00
We will learn the basics of statistical inference in order to understand and compute p-values and confidence intervals, all while analyzing data with R
The R Programming Environment$50.00
This course provides a rigorous introduction to the R programming language, with a particular focus on using R for software development in a data science setting.