Project

Intermediate R + Time Series with R

Here are the certificates for completion of the courses.

Review

The first course that I took for my project was Intermediate R. I decided to take this because I wanted to get a bit more familiar with some basic uses of R. Intermediate R covered relational,logical operators, for, while loop and covering how they work on various types of R objects. The main focus of the course covered writing functions with these statements. The course also touched on Lapply and Sapply which makes applying functions to data an easier process. I liked the overall set up with the course and the exercises provided a bit of a challenge, requiring more than a surface level understanding to complete them. The most interesting part of the course was learning how to make your own function which could come in handy when developing solutions to individualized problems. The course ended covering times and dates and how to formate them and display dates and times in unique ways.

After I completed Intermediate R I took Introduction to Time Series Analysis. Before taking this course I thought I had a relatively solid understanding of time series which I was mistaken of. This course covered how to transform data into time series and eliminate trends in data with the diff() and log() functions. It then proceeded to cover some basic models in time series which where the White Noise model, Random walk, stationary model, Auto regressive model, and mean centered version. For each of these models he covered how to simulate, make, and plot in R. I found this course to be more dense with information compared to other data camp courses. However, this was probably because I had to take more time to understand what he was doing conceptually, as well as in the R program. I enjoyed the course however and feel like I learned a good deal about time series in general and how to do some basic time series modeling in R.