It was a mammouth ambition to cover the basics of data science in fewer days than Phileas Fogg took to travel around the world. The lectures, at time, felt disjointed, since there was so much material to cover. The breadth of coverage was phenomenal, though, and I am now at least comfortable with the cohort of big data jargons like Hadoop, HBase, CouchDB, Pregle, and MapReduce.
The first few weeks were focused on programming assignments using Python and SQL, both of which I had some familiarity with. The exercises were challenging enough for me to learn new tricks of the trade but didn’t feel like I was drowning. As the course moved on to MapReduce concepts, I started to struggle. But again, it was just the right level of challenge for a newbie that I felt compelled to motor through the quizzes.