R has taken-off in recent years due to the growth in analytics generally and packages like the tidyverse, which have made it much easier to manipulate data and create impressive visualizations. Python ...

The R programming language is an important tool for development in the numeric analysis and machine learning spaces. With machines becoming more important as data generators, the popularity of the ...

If you do not have knowledge in these areas, we strongly recommend that you take Intro to data Analysis with Excel (CEBD 1300), Intro to SQL (CEWP 215), Intro to R (CEBD 1200) and/or Intro to Python .

R is renowned for its extensive library of packages and functions tailored for statistical analysis. Whether you are performing basic descriptive statistics or complex predictive modeling, R has the ...

The R programming language leans more frequently to the cutting edge of data science, giving businesses the latest data analysis tools. The problem: With loose standards and scores of diverse ...

How best to manage data using R programming. While the analytics world is being transformed by the EU’s General Data Protection Regulation, marketers are discovering a potential new solution to ...

Data analytics draws from a range of disciplines — including computer programming, ... R: An open-source data analytics tool for statistical analysis and graphical modeling ; ...

If you do not have knowledge in these areas, we strongly recommend that you take Intro to data Analysis with Excel (CEBD 1300), Intro to SQL (CEWP 215), Intro to R (CEBD 1200) and/or Intro to Python .