Impact of Higher Education and Professional Certificates on Employment

Overview

This project analyzes the relative effectiveness of formal education and professional certificates in enhancing employability and earning potential within the data science sector. It includes a presentation and Jupyter notebooks detailing the analysis.

Files

ElMasri_Makarov_Impact of Higher Education and Professional Certificates on Emplyment.pptx: Presentation highlighting key points from the analysis.

Supervised_approach_kaggle_salsary_data_modeling.ipynb: Jupyter notebook detailing the data modeling and analysis.

Main- UMAP-HDBSCAN-Selected.ipynb: Jupyter notebook detailing the UMAP and HDBSCAN analysis.

Contributors

Pavel Makarov

Ali El Masri

How to Use

Presentation

Open the Presentation: Use any compatible software (e.g., Microsoft PowerPoint, Google Slides) to open ElMasri_Makarov_Impact of Higher Education and Professional Certificates on Emplyment.pptx.

Review the Slides: The presentation includes key findings, visual aids, and recommendations based on the analysis.

Jupyter Notebooks

Libraries:

Import necessary libraries

pandas

matplotlib

seaborn

sklearn

numpy

statsmodels.api

statsmodels.formula.api

scipy

xgboost

Open the Notebooks: Use Jupyter Notebook or Jupyter Lab to open Supervised_approach_kaggle_salsary_data_modeling.ipynb and Main- UMAP-HDBSCAN-Selected.ipynb.

Run the Code: Execute the cells in the notebooks to reproduce the analysis, visualizations, and model results.

Analyze the Findings: Review the outputs and insights derived from the data to understand the impact of higher education and professional certificates on employment and salary outcomes.

Summary

These projects combine data visualization, written content, and visual design to effectively communicate key insights. By utilizing Tableau, Jupyter Notebook, and various presentation tools, these projects provide comprehensive overviews of airplane safety and the impact of education on employment.