Data Analysis with R by Coursera

R is a programming language that was specifically designed for data analysis. R is the key to unlocking the door between your data analysis goals and the problems you are trying to solve. The course begins with a question, and then guides you through the data-driven process of answering it. First, you will learn how to prepare your data for analysis. Then, you will learn how to analyze your data using exploratory data analysis. This will allow you to summarise your data and identify relationships that could lead to insight. Once you have your data ready for analysis, you will be able to create your model and then evaluate and adjust its performance. This process will ensure that your data analysis meets the requirements you set and that you are confident in the results.

By playing the role as a data analyst, you will gain hands-on experience. You will analyze departure and arrival data from airlines to predict flight delays. You will use an Airline Reporting Carrier's On-Time Performance Dataset to practice reading and preprocessing data, creating models, evaluating them, and ultimately choosing the best model. Take a look at the videos and go through the labs to add to your portfolio. Good luck! Notably, this course requires basic R programming skills. You should, for example, have taken an IBM course called Introduction to R Programming For Data Science.