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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?