Google's Data Analytics course was very helpful in that it simulated real-world scenarios that are critical for success in the workplace. The content was highly interactive with a mix of videos, assessments, and hands-on labs that introduced analysis tools and platforms, as well as key analytical skills required for data-related jobs, fon instance: data cleaning, problem solving, critical thinking, data ethics, and data visualization
The best part is that it gave me the opportunity to complete a case study with a real-world data set. This repository includes a Jupyter Notebook written in R with a detailed, step-by-step analysis of data from a smart-product.
In case you would like to see this notebook Directly in Kaggle, here is the link
Enjoy!