https://github.com/lexiortiz/advanced-data-analytics
Structured learning notes, code snippets, and key takeaways from the Google Advanced Data Analytics Professional Certificate. Serves as a personal reference for reinforcing concepts and as a resource for others on a similar learning journey.
https://github.com/lexiortiz/advanced-data-analytics
data data-analysis data-engineering google python-3 sql
Last synced: 12 days ago
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Structured learning notes, code snippets, and key takeaways from the Google Advanced Data Analytics Professional Certificate. Serves as a personal reference for reinforcing concepts and as a resource for others on a similar learning journey.
- Host: GitHub
- URL: https://github.com/lexiortiz/advanced-data-analytics
- Owner: lexiortiz
- Created: 2025-02-04T01:28:09.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-02-07T16:26:35.000Z (over 1 year ago)
- Last Synced: 2025-03-04T07:16:27.773Z (over 1 year ago)
- Topics: data, data-analysis, data-engineering, google, python-3, sql
- Language: Jupyter Notebook
- Homepage: https://www.coursera.org/professional-certificates/google-advanced-data-analytics
- Size: 36.1 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Advanced Data Analytics - Colab Notes
## 📌 Overview
This repository contains my learning notes, code snippets, and key takeaways from the **Google Advanced Data Analytics Professional Certificate** on Coursera. It serves as a structured reference as I progress through the course and a resource for others looking to follow a similar learning path.
## 📚 Course Details
The [Google Advanced Data Analytics Professional Certificate](https://www.coursera.org/professional-certificates/google-advanced-data-analytics#courses) is a comprehensive program designed to develop skills in:
- **Python for Data Analysis**
- **Statistics & Probability**
- **Data Wrangling & Cleaning**
- **SQL & Databases**
- **Data Visualization**
- **Machine Learning Basics**
- **Big Data & Scalable Processing**
## 🎯 Goals
- Document and reinforce my learning process.
- Build a well-structured reference for future projects.
- Share insights with others pursuing a career in **Data Engineering**.
## 🤝 Contributing
While this is primarily my learning repository, I welcome discussions, feedback, and additional insights!
Feel free to open an **issue** or **pull request**.
## 🔗 Connect with Me
- **LinkedIn:** [Alexis Ortiz Profile](https://www.linkedin.com/in/aortiz-dev/)
- **GitHub:** Follow my learning journey! 🚀