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| Photo Taro the Shiba Inu @ Flickr |
It's a depressive moment in everyone's life, chasing own tail. What this about in my case? When I want to move in career towards data science role. Not a big data, i.e., working with Hadoop, but real data science which is about statistics, data mining, data analysis, looking for patterns, feature extraction and so on. The issue is the experience on some project.
Yes you most likely know it's this pattern:
- There is no job without project experience
- You can't get project experience without job
Oh, wait maybe I can break this infinite loop. How?
Data Competitions
Just a short overview of worldwide opportunities. Maybe you can find some local ones, but those two are the most active and known globally.
Kaggle
Yes, we have a Kaggle! That's the most popular server about data science competitions. I believe, and it's my personal opinion, that if you are in top 5000, Kaggle ranks, you should get into focus of the companies who really doing data science. And you can use it as reference and proof that you have done some reasonable project in data science.DrivenData
Concurrence to Kaggle for whoever is DataDriven :-). Maybe little less crowded and maybe a little bit more about Data4Good. But the same concept as Kaggle. Also, a slight disadvantage is fewer competitions, but everybody who started some competition already knows that it takes time.Data Volunteering
Being volunteer for something is noble thing and moreover being volunteer in what you like or love is even better. So, if you are starting as data scientist or if you are one, please take a look and enjoy the chance to make our world better.
DataKind
DataKind is pure data charity. You can help either as data scientist or some other role. What you need to do is just a fill a form about your skills, motivation, links to projects, publications, developed code on Github and elsewhere and wait till they contact you or not.Data.World
Data.World is something like Facebook for data. You can bring your own data, you can participate to discover someone else data. It's up to you. Plenty of datasets to start with.
UN Global Pulse
Big Data development in name of humanitarian actions, wau! It's UN Global Pulse. Real engagement to real word problems. You need to dig into projects and find some ongoing which could stop you to continue, because it's not clear from the first sight. And not all the projects need some extensive skills about programming and data science, sometimes it's just about to help manually correct or identify something.
Data4Democracy
Data4Democracy seems to me simlar to DataKind, cooperating with Data.World, but anyway they have several projects about data analysis. Every project has it's Github repo and it's Data.World datasets. As I have come over few of them it seems to there is not so many participants.
Hackathons
Hacking is sexy. You can make a project in 48 hours. Something reasonable functional and bringing satisfaction to you. You will learn something and you will like it. Also you will find new friends, discover you limits and have a lot of fun. You just need to find some local one.
Open Data Hackathons
Every democratic country around the globe has the web where are public datasets which are open to use for any purpose. In my case since I am living in Switzerland it's Make Open Data Swiss where you can find few hacking actions which are happening during the year.
Hackathon.com
If you will search you will definitely find some othe website than Hackathon.com. It's not only this source of potential Hackathons which you can attend to, but it's the one which took my attention. You can find here Hackathon by City which is quite convenient, for me for example:
Meetups
You can visit and participate on Meetups. Look for example at Meetup.com find the local groups about:
- Data Science
- Machine Learning
- Big Data
- R language
- Python language
- Statistics
- Spark
- Data for Good
- etc.
Keep looking and keep working...
So, here is final conclusion: keep looking for alternative ways how to get reasonable and reliable experience and keep working on your skills so you can stand behind your references and you can present you self for your future employment!
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