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In this course you will learn how to program in R and how to use R for effective data analysis
Linear Regression and Modeling$71.00
This course introduces simple and multiple linear regression models
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.
This course describes Bayesian statistics, in which one’s inferences about parameters or hypotheses are updated as evidence accumulates
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$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.
Building R Packages$50.00
This course covers the primary means by which R software is organized and distributed to others.
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.
Dealing With Missing Data$62.00
This course will cover the steps used in weighting sample surveys, including methods for adjusting for nonresponse and using data external to the survey for calibration
Exploratory Data analysis$44.00
This course covers the essential exploratory techniques for summarizing data