Selected assignments and projects completed for the IBM Data Science Professional Certificate (Coursera, 10 courses).
🚀 The certificate's capstone project lives in its own repo: SpaceX Falcon 9 Landing Prediction
Jupyter ecosystem overview: languages, libraries and tools of the trade.
Extract and visualize stock data two ways, then build a comparison dashboard:
01_extracting_stock_data_yfinance.ipynb— pull historical share prices with theyfinanceAPI02_extracting_stock_data_webscraping.ipynb— scrape stock tables with BeautifulSoup03_tesla_gamestop_stock_dashboard.ipynb— Tesla & GameStop share price vs. revenue dashboards
chicago_data_analysis_sqlite.ipynb— real-world analysis joining Chicago census, public school and crime datasetsadvanced_sql_techniques.sql— views, stored procedures, transactions and joins (final project)- Supporting scripts: joins, subqueries
house_sales_king_county.ipynb— final assignment: predict house prices in King County, WA (wrangling → EDA → linear/polynomial/ridge regression pipelines)insurance_cost_analysis.ipynb— insurance charges: EDA, correlation and model refinement
Final assignment — historical automobile sales during recession periods:
automobile_sales_visualizations.ipynb— Matplotlib, Seaborn & Folium visualizationsautomobile_sales_dash_app.py— interactive Plotly Dash reporting dashboard
| Recession report | Yearly report |
|---|---|
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Supervised and unsupervised algorithms applied to real datasets, numbered in course order:
| Notebook | Algorithm | Use case |
|---|---|---|
| 01 / 02 | Simple & multiple linear regression | Vehicle CO₂ emissions |
| 03 | K-Nearest Neighbors | Telecom customer categories |
| 04 | Decision trees | Drug prescription |
| 05 | Logistic regression | Customer churn |
| 06 | Support Vector Machines | Cancer cell detection |
| 07 | One-vs-All / One-vs-One | Multi-class strategies |
| 08 | Regression trees | Real estate values |
| 09 | K-Means clustering | Customer segmentation |
Oscar Mendez — GitHub profile. Course materials © IBM/Coursera; the solutions and analysis in this repo are my own work.