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https://github.com/ayushai/8-week-sql-challenge-by-danny-ma
8 Week SQL Challenge Repo - A collection of SQL case studies inspired by Danny Ma's Data With Danny program. This repo includes SQL queries, analysis, and key insights from each challenge. Join me as I document my journey and share progress with the community! #8WeekSQLChallenge
https://github.com/ayushai/8-week-sql-challenge-by-danny-ma
Last synced: 12 days ago
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8 Week SQL Challenge Repo - A collection of SQL case studies inspired by Danny Ma's Data With Danny program. This repo includes SQL queries, analysis, and key insights from each challenge. Join me as I document my journey and share progress with the community! #8WeekSQLChallenge
- Host: GitHub
- URL: https://github.com/ayushai/8-week-sql-challenge-by-danny-ma
- Owner: AyushAI
- Created: 2024-08-20T07:09:25.000Z (6 months ago)
- Default Branch: master
- Last Pushed: 2024-08-20T07:53:38.000Z (6 months ago)
- Last Synced: 2024-08-20T09:51:21.214Z (6 months ago)
- Size: 758 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# 8 Week SQL Challenge
Welcome to my **8 Week SQL Challenge** repository! This challenge is part of the [Data With Danny](https://datawithdanny.com/) virtual data apprenticeship program, celebrating the launch of the Serious SQL course. My goal is to document my learning journey in SQL, build a robust personal portfolio, and share my progress with the community.
## What is the 8 Week SQL Challenge?
The 8 Week SQL Challenge is an initiative designed to help data professionals, particularly those new to SQL, to:
- Dedicate consistent time to learning SQL.
- Build and share a personal project portfolio on GitHub.
- Develop a strong online presence by regularly posting updates on social media.This challenge is an opportunity to immerse yourself in SQL, enhance your skills, and connect with a community of like-minded individuals.
## How This Repository is Organized
This repository will be organized by weeks and case studies. Each week, I will focus on a different case study, and the work for each case study will be housed in its respective folder.
### Case Studies
Here are the case studies I will be working on throughout the challenge:
1. **Danny’s Diner**
2. **Pizza Runner**
3. **Foodie-Fi**
4. **Data Bank**
5. **Data Mart**
6. **Clique Bait**
7. **Balanced Tree Clothing Co.**
8. **Fresh Segments**Each folder will contain the following:
- **SQL Queries:** The SQL scripts used to solve the case study problems.
- **Analysis:** A detailed explanation of my approach and insights gained from the analysis.
- **Visualizations:** Any visual representations of the data where applicable.
- **Learnings:** Key takeaways and learnings from each case study.## Challenge Timeline
The beauty of this challenge is its flexibility – there’s no official start or end date. You can start and finish whenever you want, and the 8-week period is simply a guideline.
I plan to approach the challenge as follows:
- **Week 1-2:** Case Study #1 - Danny’s Diner
- **Week 3:** Case Study #2 - Pizza Runner
- **Week 4:** Case Study #3 - Foodie-Fi
- **Week 5:** Case Study #4 - Data Bank
- **Week 6:** Case Study #5 - Data Mart
- **Week 7:** Case Study #6 - Clique Bait
- **Week 8:** Case Study #7 - Balanced Tree Clothing Co.
- **Bonus Week:** Case Study #8 - Fresh Segments## How to Get Started
1. **Follow the Challenge:**
- Begin with the first case study and work your way through each one at your own pace.
- Share your progress on LinkedIn using the hashtag #8WeekSQLChallenge.2. **Explore SQL Resources:**
- I will be exploring various SQL resources, including blogs, videos, and documentation to enhance my learning. You can find some of these resources [here](https://datawithdanny.com/resources).3. **Engage with the Community:**
- Comment on posts, ask questions, and connect with other participants. Collaboration and sharing are key to success in this challenge.## About the Serious SQL Course
If you are looking to deepen your SQL skills, consider joining the Serious SQL course offered by Data With Danny. It covers a wide range of topics from beginner to advanced levels, including:
- Filters, ordering data, and group by aggregates
- Complex joins and CTEs
- Window functions and recursive CTEs
- Data problem-solving techniques
- And much more!### Bonus Content
The course also includes:
- Solutions to all case studies with detailed explanations
- Familiarity with tools like Docker, GitHub, and CLI
- Access to a dedicated support forum for SQL questions## Final Thoughts
I’m excited to take on this challenge and eager to see how much I can grow my SQL skills over the next 8 weeks. Whether you’re a beginner or looking to sharpen your SQL skills, I encourage you to join me on this journey!
Feel free to explore the repository, use the resources, and reach out if you have any questions. Let's get started!