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https://github.com/higorcazuza81/courses

Repository showcasing my educational journey in Quantitative Analysis, including projects and coursework in SQL, Python, Data Science, Machine Learning, and financial modeling. Focused on real-world applications in quantitative finance, data analysis, and statistical modeling.
https://github.com/higorcazuza81/courses

airflow automation database dataengineering python shell-script spark sql

Last synced: 10 days ago
JSON representation

Host: GitHub
URL: https://github.com/higorcazuza81/courses
Owner: higorcazuza81
License: mit
Created: 2024-11-22T20:19:21.000Z (3 months ago)
Default Branch: main
Last Pushed: 2024-12-23T21:36:34.000Z (about 2 months ago)
Last Synced: 2024-12-23T22:26:53.918Z (about 2 months ago)
Topics: airflow, automation, database, dataengineering, python, shell-script, spark, sql
Homepage:
Size: 1.18 MB
Stars: 0
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md
- License: LICENSE

Awesome Lists containing this project

README

# Courses Repository

Welcome to the **Courses Repository**, where I organize and showcase all the courses I have completed or am currently pursuing as part of my journey to becoming a **Data Engineer** as part of my journey for continuous improvement and learning. This repository highlights my learning path, practical projects, and exercises in key areas essential to building robust skills in data engineering and related fields.

---

## Overview

This repository is a structured collection of my studies, reflecting the progression of my technical abilities in areas such as **SQL**, **Python**, **Data Engineering**, **automation tools**, and **AWS Cloud for Data Engineering**. It demonstrates my commitment to mastering the foundational and advanced skills required for the field while providing a clear timeline of growth and expertise. Each course features:

- **Concept Exploration**: Core principles and theory.
- **Problem-Solving**: Practical scenarios and exercises.
- **Application**: Real-world use cases and project development.

This structure facilitates future reference, revision, and portfolio building.

---

## Repository Structure

The repository is organized into directories by subject, with each course documented in its respective folder. This ensures intuitive navigation and easy access:

```
/courses
├── /sql_courses
│ └── alura_sql_basics
│ ├── 01_sql_instructions
│ ├── 02_sql_queries
│ ├── 03_sql_joins_views_transactions
│ └── 04_data_analysis_sql
├── /python_back-end
│ └── oop_in_python
├──

```

Each course directory contains materials, scripts, and exercises to reinforce hands-on learning.

---

## Highlights

- **Structured Learning Path**: Organized by subject and skill, allowing for easy navigation and reference.
- **Hands-On Projects**: Includes code, scripts, and practical examples developed during the courses.
- **Regular Updates**: Continuously updated as I progress through new courses and projects.
- **Portfolio Ready**: Demonstrates skills in SQL, Python, PowerShell, and Data Engineering, tailored to showcase my capabilities to potential employers or collaborators.

---

## Courses Currently Uploaded

### SQL Courses
- **Alura SQL Basics**:
- 01: SQL Instructions
- 02: SQL Queries
- 03: Joins, Views, and Transactions
- 04: Data Analysis SQL

### Python Back-end
- **Object-Oriented Programming (OOP) in Python** (Coming Soon)

---

## Contributions

This repository is for educational and professional growth purposes. If you have suggestions for improvements, feel free to open an issue or reach out to collaborate. I welcome feedback that helps refine my learning process or expand the repository’s utility.

---

## License

This repository is licensed under the MIT License. For more details, refer to the [LICENSE](LICENSE) file.