Hey man I really appreciate that response. I definitely appreciate that link about SQL. I’ve def seen a lot of different courses about SQL and frankly I feel a bit overwhelmed by it so it’s good to know there’s one that I can take that will be enough to put it on my resume.
I’m actually currently taking the Data Science: Statistics and Machine Learning Specialization through Johns Hopkins on Coursera: https://www.coursera.org/specializations/data-science-statistics-machine-learning
Do you think I should drop it and just go to the one that you sent?
I’m on regression models right now. It’s been a while since I’ve done anything with econometrics so I wanted to do a refresher and also I wanted to go through all of it so I can get the certificate for the specialization.
Should I just finish up the whole thing or just transition over to Python? This specialization is purely R. I know that people have been saying that python is good but from the jobs that I’ve seen, it seems like either R and Python are preferred and people have said that these languages are very similar and that if you know one it’s easy to transition.
Someone earlier said that R’s data frame is very much like pandas and Numpy.