I enjoyed the Intoduction to data course for a number of reasons. As someone who is focusing on Business Analytics I found the information about sampling very helpful. Undersatanding the differences in sampling techniques will be important to ensure you collect data in a way that will produce valid results. The unit also gets into more detail about manipulating your data and viewing that data into visualizations. I am not really sure you can ever get enough of visualization insight with R. I still stuggle with the aesthetics of the different graphs, and consider all courses that touch on it valuable. The course also touches on the principles of experimental design, which immediately got mean interested in that course as well. I find it relatively easy to fall down “rabbit holes” using DataCamp.
Exploratory Data Analysis in R was even more helpful as it starts to dig in more to the statistics of what isvolved with the visualizations that you are putting together. It also further explores the nuances of filtering and facet_wrap. I have made it goal over the break two completre two additional hours a day of modules to really start digging into more of the finer points of r, and hope to get more into this. However, first I will continue with the basics in intermediate R. I hope to find more of the blocks that include case studies.
you can view my certificate of completion Here
you can view my certificate of completion Here