On this page I will try to collect all the certificates I have gained since getting into MOOCs, which was towards the end of 2014. It is a chronological collection, with the newest ones further up.
The first section shows my certificates for complete Programs, which consist of a few MOOCs coherently tied together.
Many MOOCs related to Data Science. Worked on the Titanic data with the SciPy stack (iPython notebooks, numpy, pandas, matplotlib), cleaned Las Vegas OSM data, practiced some statistics, got very excited about doing EDA on the US presidential election contributions, tried to uncover some patterns within ENRON data using Machine Learning (sklearn) and used d3.js to draw Europe onto a colorful map with a story.
I spent half a year living on a shoestring in Silicon Valley. It was extremely interesting to be in the area and soak in the good and the bad of the entrepreneurial life. - I completed my third ND in a swift run after having mentored TEND students already for a while. The product that I developed - all the way from Ideation, through Monetization, Product Design, collecting User feedback while iteratively building up to a medium-fidelity prototype, as well as devising an ad-strategy plus an investors' pitchdeck - was a direct product of my time spent there: It revolves around tips to live cheaply in the Bay Area.
Took it as a light introduction to data acquistion that I'm learning more in-depth in the Data Analyst ND.
Bringing data to life by mining the processes within. Creating process maps, working with ProM and Disco. I rediscovered Charles Joseph Minard's map of Napoleon's defeat in Russia 1812-1813, which I find an inspiring example of Data Visualization. The course also talks about the similarities between processes and maps, and got me excited about cartography.
A quite different Introduction to Python programming, that felt like a great additions to my knowledge up to then. It allowed me to approach the topic of programming more theoretically, and I'd say it encompasses quite some aspects of Computer Science.
A beautiful course that taught me a lot of respect for chickens. Their peaks are extremely sensitve and greatly skilled perceptive organs!
It's one of my big tasks to train my math brain. This course was pleasant and interesting. I always liked logic, and I agree that one should take a walk/climb/bikeride as a break when brooding over some understanding.
The processes behind and effects of natural rhythms in our lifes (and how they are getting damaged daily). Every cell has its own clock, and we use Zeitgeber (especially light!) to synchronize. Records of births in Spain showed an annual oscillation until: the advent of electrical light.
This course made my mind go 'whoa!' pretty often. Concepts of Game Theory jumped into all aspects of my life through watching the lectures. There's a stable balance that situations converge to - but: there are more stable situations. And only because one of them is, doesn't mean it's the best one! (I guess usually it isn't) But because every move away from there makes things (temporarily) worse, it's difficult to look for, and to find a better equilibrium.
Sounds like Life, the Universe and Everything. :) The course was really well made and I learned a lot about physics, geology, paleobiology and astronomy (especially those metorites stayed with me). Very thorough, interesting and insightful!
This course had a very interesting topic, and the lectures were pleasant. However, the written projects I got to peer review showed that understanding didn't come too easily to everyone.
There's still much more to learn, but I got some insights into the inner functionings of the internet. Listened to inventors talk, thought about the layer model of TCP/IP, encryption techniques, and altogether managed to grasp some basics.
Extremely interesting and well done! I did the whole course, passed all the quizzes and learned a lot (however, no certificate because I didn't do a forum post). I still felt like having the course among the others. Here I got to know about John Snow's Cholera map of 1855. A great example of gaining insights from spatial mapping of information.
Yet another Intro to Python, a different and much lighter approach. The book is great (I read just a bit), and the course was a great way to relax a little while still staying on topic. Enjoyable!
Taught me a lot about processes and was a lively way to learn about Data Science. I enjoyed this course so much, that I re-took it in 2015, even paying for a Verified certificate
Totally sweet! Made me start playing with numbers, and visualize operations with coloured squares. I'm still planning to finish this one, but keeping it around for motivational boosts :)
Gained some insights into how it all works inside of myself. Good course, covering cell biology up to organ functions. Worked on it quite some, but didn't finish. While swimming lengths in the pool, I was thinking about the molecular processes that were going on inside of me!
My first MOOC learning Python. I coded some little games. I especially enjoyed the very well done Peer Review System that allowed me to see a lot of other people's code and learn from giving feedback.
I have a weakness for Astronomy. I find it thoroughly exciting to understand for a short moment how tiny we are as compared to the distances and sizes that roam the universe. I'm just a tiny dot on a dot that is nothing but a tiny dot in another (slightly bigger) tiny dot revolving around a dot that is still pretty damn small and represents little areas in a growing space with many (but compared to the size only a few) small clusters of all these same dots I talked about before. :o
Thinking about US cooking- and eating-habits, and learning a little about government tries to decrease obesity. Did it in night shifts.
Great tips and some handling of calculations. The course had a light and enjoyable pace, with lots of take-aways :) Got some insights into US culture, too. And yes: Compounding interest!
Whoa! This was really good. The first MOOC I completed, working on it only for a few days, since I discovered it not long before the deadline. It was also my first real introduction to Economics ever, and so well delivered and gripping! I especially enjoyed the Orange-selling-game.