This repository contains the notebooks I created as part of the Dataquest learning path for data engineering. The learning path covers a wide range of topics related to data engineering and provides hands-on experience using tools and technologies commonly used in the field.
The Dataquest data engineering learning path includes the following modules:
- Introduction to Python for Data Engineering
- Working with Data Sources
- Processing Large Datasets in Pandas
- SQL Fundamentals
- Building a Data Pipeline
- Production Databases in Python
Each module contains a series of interactive lessons and exercises designed to help learners develop practical skills in data engineering.
Feel free to explore the notebooks in this repository to see how I worked through the exercises and applied the concepts covered in the learning path. You can run the notebooks yourself by cloning this repository and running them in a Jupyter Notebook environment.
This repository is licensed under the MIT License. See the LICENSE file for more information.