The competition site Kaggle has recently released some micro-courses aimed at helping people to quickly learn the skills of data science. It is called Kaggle Learn, Faster Data Science Education. It includes courses on:
- Deep Learning
- and more
Check them out to quickly get up to speed. Happy Learning.
Kaggle, the online data science competition platform, will be hosting a free online conference for people interested in landing their first data science job.
Kaggle CareerCon 2018 on March 20, 2018. There are a bunch of great speakers lined up, and all the talks are focused on preparing someone to get a data science job (resume tips, interview questions, portfolio examples, …).
Stick around for the Question and Answers at the end of the presentation where I talk about starting your own blog or entering Kaggle contests.
All of the other talks were great as well. You can register here Demystify Data Science Conference 2017 by Metis to get free access to all the other video presentations.
Recently, a number of resources for publicly available datasets have been announced.
- Kaggle becomes the place for Open Data – I think this is big news! Kaggle just announced Kaggle Datasets which aims to be a repository for publicly available datasets. This is great for organizations that want to release data, but do not necessarily want the overhead of running an open data portal. Hopefully it will gain some traction and become an exceptional resource for open data.
- NASA Opens Research – NASA just announced all research papers funded by NASA will be publicly available. It appears the research articles will all be available at PubMed Central, and the data available at NASA’s Data Portal.
- Google Robotics Data – Google continues to do interesting things, and this topic is definitely that. It is a dataset about how robots grasp objects (Google Brain Robot Data). I am not overly familiar with this topic, so if you want to know more, see their blog post, Deep Learning for Robots.
For more options of open data, see Data Sources for Cool Data Science Projects Part 1 and Part 2.
Are you aware of any other resources that have been recently announced? If so, please leave a comment.
Kaggle and Booz | Allen | Hamilton have just launched the National Data Science Bowl. It is a data science competition hosted at Kaggle.
If you are interested in getting started, a tutorial is available in iPython format. Best of Luck!
These slides are targeted at Kaggle competitions, but the R packages can be helpful to anyone using R for data analysis. The slides were created by Xavier Conort, a winner of multiple competitions.
- LinkedIn They turn data into products better than anyone else.
- Facebook If you are the type of person that loves to analyze people’s lives, there is no better place.
- Twitter Duh, It’s Twitter. lots of data and lots of possibilities
- Cloudera Cloudera is a successful Hadoop-based startup. Build tools and explore huge datasets for a variety of industries.
- Kaggle If optimizing algorithms and really diving into the data to get every last ounce of information is your thing, then Kaggle is it. Plus, there is nowhere else you will get to work on so many important problems in such a wide range of domains. Unfortunately, Kaggle is not currently hiring any data scientists, but they most likely will be seeking more in the future.
There are many other companies hiring data scientists. Where would you like to be a data scientist?