This is Course Repo for TECH-GB. 2336: Data Science for Business Analytics in 2023 Spring.

This repository will include modules with Ipython Notebooks (that can be opened in Colab) created for the class Data Science for Business Analytics (NYU Stern School of Business, Spring 2023). Each module includes data, code and description of each task within the Data Science Framework.

The creation and maintenance of this project attempts to show the work that can be done to solve different Data Science and Data Mining problems.

The basic libraries required for the notebooks are: pandas, numpy, datetime, os, sys, math, pickle, random, csv, matplotlib, pyplot, wordcloud, scipy, and sklearn.

Prof. Foster Provost - NYU Stern School of Business Website

Rubing Li Contact

These notebooks are based on the prior work (w/Prof. Provost) of: Pearl Yu Contact Ben Wolfson Contact Carlos Fernandez Github link Maria Zamora Github link Rob Moakler Github link