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datascienceblogpost

Project in Data Scientist Nanodegree of Udacity

Table of Contents

  1. Installation
  2. Project Motivation
  3. File Descriptions
  4. Licensing

Installation

Juptynoteboks and python are required to trun the code locally. See licensing section below for access to the data.

Project Motivation

My motivation for this projet is learning data-scince through the Undacity Data Science nanodegree. The data set used is the Stack Overflow Data - 2017 Survey that was provided with the course material. I came up with four business question I wanted to answer from the dataset. These questions are:

  • Q1. What are the most popular languages by country
  • Q2. Is there a correlation between most popular languages choice and job satisfaction
  • Q3. How does parent's highest education relate to highest respondent education
  • Q4. Does remote work increase need for StackoverFlow?

File Descriptions

THere are only three main files in this repo - this ReadMe file, the jupyter notebook and the blog-post. All other files are supportive of these three..

Licensing, Authors, Acknowledgements

Ultimate credit to Stack Overflow for the 2017 survey data and to Udacity for the awesome nanodegree.
The Licensing for the data is vailable at this link.

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A data sciece blog post to communicate lessons learnt in using CRISP-DM

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