Statistics · Columbia University
basic r methods. tidying, modeling, visualization.
R fluency mainly, some theoretical aspects of data science but mainly just R and Rstudio usage.
I learned that 'flipped classroom' is a fansy way to actually mean laziness and irresponsible. And also I guess my emotional intellegence improved a lot after taking this course and now I'm an expert to understand what's not being said or being said oppositely by other people.
Important techniques in data manipulation and how to use R.
I know what I was SUPPOSED to learn in this course, whether or not I learn it is a different question because for some reason, this professor refuses to actually teach in our lectures. - R
The homeworks did help us to learn. But it would have been more helpful if instead of class exercises we had lectures.
This course covered a lot of materials on introduction to R. We learned a lot of topics from data wrangling to optimization.
I learned how to better use R to solve problems. The course was entirely focused on becoming familiar with the tools that one has to use R for statistical problem solving. Initially, we focused on learning the functions and thought processes that are useful within R. Then, we started to solve problems that used statistics and the skills we'd practiced within R.
how to pre-process data and a little about the model