Data scientists leverage notebooks and libraries for an interactive analysis and hypotheses testing on datasets. Learn the power of tooling to assist in data preparation, analysis, visualising data and model validation. Get ready to unlock value in data through the power of experimentation, direct data feedback and manipulation.
What you will learn:
- Using open-source tooling to discover value in the data
- The power of interactive data analysis for the data scientist
- Dealing with outliers and invalid data in your data preparation
Data Scientists, Data Architects, CDO, CTO Services used: Amazon S3 w/ Python/Pandas
Clinton Thomson, Director & CTO, TechConnect
Dr Meghan McConnell, Data Scientist, Datarwe