Data Science communities are extremely critical since it creates a platform for Data Scientists to collaborate, share and learn many aspects in the process.
Focus on few dimensions:
- Competitions
- Datasets
- Notebooks or Kernels
- Discussions
- Blogs
- Publications
- Kaggle
- Topcoder
- Codalab
- Machine Hack
- IBM Data Science Community
- Analytics Vidhya
- Tianchi Global from Alibaba
- Youth4work
- Galvanize
- DrivenData
This is just a non-exhaustive list and representation for learning purposes. However, we personally recommend building some time on Kaggle platform and learn over a period of time by demonstrating capability around that.
- Target to write 1 blogs every quarter on forums such as Medium
- Should be able to read, digest and understand research papers / publication papers within 1 yr of learning Data Science skills
- 1-2 Patents or Publications within 2 yrs into Data Science field
- Try to move from Novice to Contributor within 1-2 weeks in Kaggle, and then to Expert level in Kaggle within few months depending your time and participation. Key is to be regular and then continuously learn