#datakind

Are you a social impact professional looking for some practical guidance on how to use data concepts or technologies? Do you … source

Ahead of Data Fest 2018 DataKind's Erin Akred Discusses Data Science for Democratic Freedoms

While there have been tremendous advances in technology and more data than ever now available, for-profit companies tend to be the only entities with the necessary budget and staff to take advantage. What if the same algorithms that companies use to boost profits or recommend products could instead be applied to some of the toughest challenges the world faces today?

Whether it’s predicting and…

soooo today i am getting around to cleaning up my Github! in a terrible mess really. what prompted me to do so was because yesterday i went for a data gathering sort of stuff, gave my Github username to get access, and i was sooo embarrassed at how messy and unprofessional it was!

in any case, i have REMEDIED THAT TODAY hah. also getting my shit together so that i can get around to building up my portfolio.

it’s going to be a long journey, but baby steps! nobody ever accomplished anything great in one day, right? ...right?

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also since I have managed to scrap by all the pre-course required for GA, i am busying myself with some SQL in the meantime, apparently it’s pretty important and useful when using it in Pandas in Python anyways.

maybe someday when i get my head around the basics of data cleaning, exploratory data analysis (EDA) properly, that’s when i can progress to some machine learning... i look forward to that day LOL.

in the meantime, if anyone has any handy tips on data cleaning and EDA please drop me a note and i would be eternally grateful.

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in other news, the guys from DataKind are doing some pretty cool work here in Singapore - check them out!

Worrying about whether or not (big) data can be used for good purposes is something of a thing, these days.

Three years ago, Roberto Zicari interviewed myself and others on the topic. Now he’s seeking support for the notion of ‘Data for Humanity’:

“We want to bring people from different disciplines and professions together, who share the motivation of using Data for the Common Good and for Human Wellbeing, in order to ensure that data serves humanity.”

DataKind matches data scientists and data tech with deserving causes.

And now Bloomberg is getting involved, with September’s Data for Good Exchange and a new Research in Residence Programme in partnership with one great good cause, UNICEF.