Python for Data Science Workshop by Manaranjan Pradhan

This repository contains the the tutorials and exercises for the 2 days Python for Data Science Workshop.

The topcis covered are

• Understand Data Science Stack in Python
• Array and Matrix operations using Numpy library
• Data munging using Pandas Library
• Basic statistics Analysis & Hypothesis testing
• Creating charts and graphs using Visualization library
• Building Linear regression model
• Creating classification models to make predictions
• Clustering
• Text Analytics
• Using Sklearn library to run models and evaluate

During the workshop, the following real world use cases are taught to the participants.

• Analysing titanic survival data for insights
• Who is a better captain in cricket? Does the toss have any impact on the result of the game?
• How much to spend on Advertisement for a specific sales target? And target which media most: radio, newspaper or TV?
• Can we predict the selling price of a house?
• What are the chances a student’s application will be accepted by an university?
• Can we predict a customer churn, if we know his/her call patterns?
• Which customers would like what kind of beer?
• Can we find trends in tweets?
• Integrate with twitter APIs to stream live tweets
• Scrape data from website
• Can we understand the sentiments from customer reviews?