EUROPEANA - Hackathons - api. Open Datathon Albania. An Introduction to Data Wrangling: How to Get, Use and Share Data. Bio: This is my first on-line course so I'm excited to learn how I will learn via this format.
Interestingly, I discovered this site and these particular courses from one of my friends, a curious soul from Nepal. As he is from a developing nation where in most cases the resources are scarce, he is constantly prodding me to "...take advantage of every opportunity available in the states. " In fact, as he was guiding me around the website, he was sure to emphasize that "the courses are FREE!
" However, while the fact that this amazing resource is being provided to us at no cost other than the investment of time and energy, I actually signed on as a result of a genuine interest in the topic. At the core, I'm an advocate of social justice yet, hopefully, not annoyingly over zealous. I read a lot. I believe in love and that love is the thing that is missing from the world. Thanks for reading! P.s. Location: Standard Set Answer: What made you interested in this topic? Patterns - Data wrangling for fun and profit — datapatterns v0.1 documentation.
The Open Data Manual — Open Data Manual v2.0alpha documentation. Announcing the School of Data. The following post is by Rufus Pollock, Director and Co-Founder of the Open Knowledge Foundation, and Philip Schmidt, Co-Founder and Executive Director of Peer 2 Peer University.
Today, we’re announcing plans for a School of Data. The School will be a joint venture between the Open Knowledge Foundation and Peer 2 Peer University (P2PU). We also welcome other organizations who would like to participate — see below for more on this. Data (open or otherwise) needs to be used, and to use data effectively requires certain skills.1 The explosive growth in data, especially open data, in recent years has meant that the demand for data skills — for data “wranglers”2 or “scientists” — has been growing rapidly.
However, there is currently a significant shortfall of data “wranglers” to satisfy this growing demand, especially in civil society organisations — McKinsey expects a skills shortage in data expertise to reach 50-60% by 2018 in the US alone.3 What? So What Next? Get Involved!