I started the Data Science signature track from John Hopkins University about a week ago and submitted my CV : CV_li_wen_ting to companies who are looking for data scientist like me.
At the meantime, I am also enrolled in a Signature Track MOOC from John Hopkins University School of Public Health on Data Science. Like any courses, online or offline, you can be present physically at the class while totally absent mentally. It feels even more so with online learning. Because you aren’t wasting anyone else’s time when you do not pay attention. Fool around at your own cost if you will. In economics term – there is no negative externality, i.e. no extra cost on teachers or teaching assistants to repeat what was said in class because of poor learning due to “attention deficiency”. 🙂
It gets even better with online learning. I can progress at my own speed. And the result? I achieved my learning goals and passed the final test above 96% at the Data Scientist Toolbox within 2 days – when most people are just getting started.
After completing the first course, I am now half way through the second one – R programming. In other words, within three days, I finished was designed to be completed in 2 weeks.
Things get even crazier than that, in the past 7 days I am also learning Python at the same time as I was doing all the above. It was unbelievably fun to me to pick up new skills at the same time as I refresh my memories of the old – especially amazed by what iPython Notebook (Jupyter) could do with both R and Python.
I knew data science is my thing the first time I did it with LaTex… and then SAS, and R, machine learning techniques, and Python, Github. It is my plan that in the near future updates about my experience with data science could be uploaded here in the format of a slides show – not sure if I know how to do it yet.