
Gain hands-on exposure to R for basic exploratory data analysis, learn alongside Python concepts, and build in-demand skills in the R ecosystem and installation through practical case studies.
Load data into R from text files using the utils package, explore datasets such as fast food and vegetables, and verify data loading with the us retort table.
Explore data visualization in R with ggplot-like plotting, building scatter, bar, and line graphs from a government dataset, displaying GDP per capita on the x-axis and life expectancy on y-axis.
This lecture analyzes how weight affects car mileage using the empty cars dataset, employing scatterplots, correlations, and simple and multiple linear regression in R, including auto versus manual transmission.
Load the iris dataset and install the Geechee plot to package and tidyverse to create visualizations, then examine sepal and petal measurements and plot scatterplots to reveal clusters.
Are you new to R?
Do you want to learn more about statistical programming?
Are you keen on becoming a Data analyst & Data Scientist?
If your answer is YES - read on!
This Tutorial is the first step - your Level 1 - to R mastery.
All the important aspects of statistical programming ranging from handling different data types to loops and functions, even graphs are covered.
Learning R will help you conduct your projects. In the long run, it is an invaluable skill that will enhance your career.
Your journey will start with the theoretical background. You will then learn how to handle the most common types of objects in R. Much emphasis is put on loops in R since this is a crucial part of statistical programming. It is also shown how the applied family of functions can be used for looping.
This course is truly step-by-step. In every new tutorial, we build on what had already been learned and move one extra step forward.
This training is packed with real-life analytical challenges which you will learn to solve. Some of these we will solve together, some you will have as homework exercises.
In summary, this course has been designed for all skill levels and even if you have no programming or statistical background you will be successful in this course!
I can't wait to see you in class,