Documenting my journey through the Google Advanced Data Analytics curriculum. Code, notes, and capstone projects.
This repository documents my journey through the Google Advanced Data Analytics Professional Certificate. It contains my code solutions, Jupyter notebooks, and project deliverables for the various modules, ranging from Python basics to Machine Learning models.
Course 1: Foundations of Data Science (Project Scoping & Pace).
Course 2: Get Started with Python (Pandas, NumPy, Data Cleaning).
Course 3: Go Beyond the Numbers (EDA, Data Viz with Matplotlib/Seaborn).
Course 4: The Power of Statistics (Hypothesis Testing, A/B Testing).
Course 5: Regression Analysis (Logistic & Linear Regression).
Course 6: The Nuts & Bolts of Machine Learning (Random Forest, XGBoost, Naive Bayes).
Course 7: Google Advanced Data Analytics Capstone Project.
Language: Python 3.x
Libraries: Pandas, NumPy, Scikit-Learn, Matplotlib, Seaborn, Statsmodels.
Environment: Jupyter Notebooks.
This repository serves as a portfolio of my work and a reference for other learners. If you are currently taking the course, I encourage you to try the labs yourself before checking the solutions!
Author: Omar Ben Fadhel Connect with me: https://www.linkedin.com/in/benfathel/