This repository documents my practical work and exercises completed as part of multiple Google professional certification programs, including:
- Google Advanced Data Analytics
- Google IT Automation with Python
- Google Cloud training tracks
The goal is not only to complete courses, but to apply concepts in real-world scenarios.
- Python automation & scripting
- Data analysis (pandas, numpy)
- Problem solving with real datasets
- Cloud fundamentals (Google Cloud)
- Process automation
- scripts for validation, file processing, and task automation
- examples of real-world IT scripting scenarios
- working with structured datasets
- exploratory data analysis
- data cleaning and transformation
- simple cloud scripts
- service configuration examples
- Writing clean and reusable Python scripts
- Automating repetitive IT tasks
- Handling structured data efficiently
- Understanding cloud-based workflows
- Converting exercises into standalone projects
- Adding unit tests
- Improving documentation
- Creating real-world use cases
This repository will evolve into:
- production-style automation scripts
- API-based services
- data pipelines
Valentyn Verovkin Kyiv, Ukraine