Data Science is a hot topic, and most data scientist use either Python or R to do their jobs as main scripting language. Being import.io data scientist for the last 2 years, all of them using Python, I’ve come across many different problems and needs on how to wrangle data, clean data, report on it and make predictions. In this talk I will cover all main analytics and data science needs of a start-up using Python, numpy, pandas, and sklearn. For every use case I will show snippets of code using IPython notebooks and run some of them as live demos.
Yes, I do intend to share the material. I'll try to do so tomorrow.
Thanks,