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README: public-course-content

Description

  • Course: Data Science Practicum for Business with Python
  • Instructor: Casey Whorton
  • Semester: Winter/Spring 2020
  • This repository contains the notebook and python file course assignments as well as the course slide deck
    • Please download the appropriate files and put in your own private repo
    • From there, create pull requests and list the instructor as the collaborator to review
    • Sensitive data will be emailed to students directly

Contents

  • Living Documents
    • README.md Update README.md
    • Wayne State Course.pptx Course Slide Deck
  • Assignments
    • Advanced Viz.ipynb
    • Aggregating Data & Elasticity.ipynb
    • Classification Algorithms in Python.ipynb
    • Data Types.ipynb
    • Exploratory Data Analysis.ipynb
    • Introduction.py
    • Jupyter Notebook Markdown.ipynb
    • Numpy, math, and built-in functions.ipynb
    • Pandas Introduction.ipynb
    • Regression in Python Complete.ipynb
    • Regression in Python.ipynb
    • Simple Viz.ipynb
    • Wayne State Course.pptx
    • airfare.csv
    • distplot.ipynb

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Data Science Practicum for Business with Python

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