2017 will gone, and I didn’t even have time to write one single blog post. An obvious inference should be, 2017 doesn’t exist…
2017 was a year of struggle for me as a biostatistics master student. I spent most time at school learning statistical theories, which sometimes drove me nuts as I came from pure medical background. I do achieve excellent grades (straight A+) for my courses. But, are the proofs and derivations useful for my future career? It is not a silly question. Lots of my peers also feel the crunch.
Therefore, in 2017, I
- learned some Python,
- read R for Data Science from cover to cover 3 times,
- employed tidyverse packages for my projects (
ggplot,dplyr,purrrfor analysis andR Markdown,xaringanfor communication), - learned some concepts of machine learning through the online courses and the reader-friendly textbook,
- learned some more concepts of machine learning through the classic textbook and
- didn’t write one single blog post, because all my spare time and coffee making time were simply run out.
I feel much better after one year of burying my head in the sand. Keep tuned, 2018.