Perform Data Analysis in R and Python. Develop Exploratory Data Analysis and pre-modelling using R tidyverse and Python Pandas libraries. We develop a series of tutorials to explain some of the powerful data transformation and manipulation features of Pandas. These are excellent for preparing professional style reports.
Tidyverse R and base R are incredibly powerful and widely used to execute and communicate forecasts, statistical analysis and modelling. The Tidyverse R suite assembles some of the most versatile R packages: ggplot2, dplyr, tidyr, readr, purrr, and tibble for visualization and data query. The Pandas, Matplotlib and Seaborn packages available in Python similarly provides a full complement of data query and visualization tools. These cutting edge packages can be transformative in promoting collaboration and disseminating ideas through data intelligence. In particular, the Tidyverse umbrella package from R can be used to tease out many key areas of data analytics. Tidyverse R can also be installed in Google Colab.