My plan for 2016 focuses on moving my career by building out my skills. My experience working with large media properties, like AOL, IMG, Lycos and SuperBowl.com, has provided me the foundation of leading the product development team, but now I want to veer back to those days where I got my hands dirty and then built solutions on top of that.
The first step on the path toward moving into the data storytelling world is locking down the big picture. As of this week, I have completed Tackling the Challenges of Big Data, an MIT Professional Educational course. And for this I received a certificate. 🙂
It was a great combination of topics, some that I could get thru easily thanks to past work experience, like visualization (Maxus) and machine learning (AOL / Hakia), and then the more technical aspects which made me buckle down to learn, like database architecture and cryptology. I never had to deal with these directly, but now feel more comfortable knowing how they all fit together.
I’ll add updated posts here as I move more toward this goal where I can work side-by-side with the advanced data scientists and turn their findings into new products and user experiences. This does not have to be on-line, as it would be great to expand opportunities by using data to uncover and predict more everyday activities. We are doing this somewhat at VitalBriefing today; however, the scale is much smaller than the 20 million page views from the AOL days, which even at 20M can still seem small to some of the IoT projects going on today.
Up next: I’ve had a good start with the data architect project at Maxus, but next up is to learn more about the tools, including visualization tools like Tableau which I used at Maxus, but it evolves so fast that you have to stay ahead, and Python which I want to use to crunch my own numbers.