Differences from Top Data Scientists

The tools you use, and the way you approach learning can have a significant correlation with how much you get paid for your work as a data scientist.

Instalations needed to run the code

• Python 3
• Pandas
• NumPy
• Matplotlib 3
• Seaborn

Motivation

This project explores the differences between the tools used by the highest-paid 20% of data scientists and the bottom 50% lowest-paid. As well as the differences in how they approach learning. Read the article here >>

Files

Untitled.ipynb - This notebook contains the code used for the entire exploratory analysis process and the explanatory visualizations.

datasets - This file contains the data sets from the 2021 Kaggle and Stack Overflow surveys.

• kaggle-survey-2021
• stackover_anudevsurv_2021

Summary of the analysis results

Among the most interesting findings regarding the differences between lower-paid and higher-paid data scientists where the use of Gradient Boosting Machines, SQL, and the Cloud Platform they have worked with

Akcnowledgments

I would like to thank all Udacians for motivating me and guiding my data science journey.