R for Business Analytics Training

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|| R for Business Analytics course in Vadodara

|| Business Analytics with R or commonly known as ‘R Programming Language’ is an open-source programming language and a software environment designed by and for statisticians. … Thus, it is a popular language among mathematicians, statisticians, data miners, and also scientists to do data analysis.

|| You will Learn

  • Chart absolute frequency, relative frequency, cumulative absolute frequency and cumulative relative frequency histograms.
  • Approximate sample mean, sample median central tendency measures and sample standard deviation, sample variance, sample mean absolute deviation dispersion measures.
  • Estimate sample skewness, sample kurtosis frequency distribution shape measures and samples correlation, samples covariance association measures.
  • Define normal probability distribution, standard normal probability distribution and Student’s t probability distribution for several degrees of freedom alternatives.
  • Evaluate probability distribution goodness of fit through Kolmogorov-Smirnov, Cramer-von Mises and Anderson Darling tests.

||  Who this course is for:

  • Undergraduates or postgraduates who want to learn about business statistics using R statistical software.
  • Academic researchers who wish to deepen their knowledge in applied statistics or quantitative finance.
  • Business data scientists who desire to apply this knowledge in areas such as consumer analytics, finance, banking, health care, e-commerce or social media.

|| Requirements

  • R statistical software is required. Downloading instructions included.
  • RStudio Integrated Development Environment (IDE) is recommended. Downloading instructions included.
  • Practical example data and R script code files provided with the course.
  • Prior basic R statistical software knowledge is useful but not required.


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