The track consists of 16 courses, each containing about 3-5 chapters and an estimated total of 64 hours. If you have the time, I think it’s realistic to complete one course a day. Overall, completing the career track took me about four months. This was largely due to my busy schedule which consisted of full-time college courses, a full-time job, a part-time internship and some freelance web development on the side. Any extra amount of time I had was spent learning R. In theory, one could finish the Data Analyst with R Track within a couple of weeks.
At first, the courses can feel like they are moving a bit slowly as you begin to get more familiar with the syntax. You start by learning things like importing data and cleaning data which are not the sexy data analytical skills you probably imagined. It’s important to remember that these stepping stones are very useful in the future and to get through them. The courses started to get more fun for me when completing the ‘Data Visualization with ggplot2’ course because I started to really understand how I could use these skills in real world scenarios. After a ton of repetition, experience with sentiment analysis and linear regression models, you find that you have completed all of the courses and wondering what to do next. I had never even opened RStudio because everything was done on the DataCamp modules. I highly recommend that you crack open RStudio and start getting familiar with it. Luckily I found that DataCamp had prepared me well to adapt quickly. It was then that I created this blog and started looking for ways to test my skills.
So was it worth it? In short, yes. I feel as if I have a strong foundation in data analytics and by understanding key features of R, I even feel that I may have an edge on many other entry level data analysts who sometimes only have experience with Excel and possibly SQL. I went to YouTube to find more lectures about linear regression models and understanding statistical terms before searching for datasets. Time will tell if it has set me up for success in the workforce but one thing is for certain, I can do A LOT more data analysis now than I could do before I started the Data Analyst with R Track and I feel much more confident in my abilities to grow. I highly recommend it.