Python Training in Numpy, Pandas and Scikit-Learn
This course will build on your knowledge of Python to sharpen your skills for data manipulation and analysis. We will assume that you have gone through the material in our self study repository before this course.
We will use Jupyter notebooks to explore libraries such as numpy, pandas and sklearn. We will use these libraries to ingest, tidy and explore real world datasets and extract insights from them.
At the end of the course you should feel comfortable working with unfamiliar datasets, fixing common data errors, creating visualizations to understand your data, and extracting insights from models.
The repository for this course is available on github