Portfolio/Project 4 - Data Science Blog

Understanding Data Scientist Careers in a Data Science Way

Project Motivation

For this project, I was interestested in using 2011 - 2018 Stack Overflow developer survey data to better understand the career of data scientists. In particular, the questions I interested in are

• Does a data science role return you a happy career, or a healthier lifestyle?
• Do data scientists get paid higher salaries for working hard?
• What skills are required to become a data scientist?

Installation

No extra besides the built-in libraries from Anaconda needed to run this project

• numpy
• pandas
• seaborn
• glob
• os

File Descriptions

• data: Folder contains data files of StackOverflow developer survey data, following name conventions of "YYYY Stack Overflow Survey Responses.csv"
• Understanding the Career of Data Scientists.ipynb: The Jupyter Notebook used for the main analytics

Results

The main takeaways from this analytics are

• The best practice for doing data science is to have a question before you collect the data
• Data scientists work hard, but they are satisfied with their careers
• Versatile programming skills and strong commnunication skills are needed for data scientists

Specific findings of the code can be found at the Jupyter Notebook and blog post below.

• Project Notebook: Understanding the Career of Data Scientists
• Blog Post: Understanding the Career of Data Scientist Using the Data Science Way

Licensing Acknowledgements

Thank you for @StackOverflow for sharing your developer survey for multiple years