As I continue my data science journey at WBS Coding School, I’ve come to appreciate the importance of SQL in bridging theory with real-world applications. SQL is essential for data extraction, manipulation, and analysis—skills that are foundational in the field of data science. As I prepare for upcoming SQL-based interviews, I’m diving deep into SQL concepts to ensure I’m fully equipped for any challenges that may come my way.
🔍 How I’m Preparing for Technical Interviews: My approach to technical interviews combines consistent practice, learning from feedback, and applying what I’ve learned to real-world problems. The WBS Coding School bootcamp has been a game-changer, providing me with hands-on experience and a collaborative environment where I’ve strengthened my SQL skills and overall technical capabilities.
💻 SQL in My Final Project: For my final project, SQL will play a crucial role in data extraction and cleaning. I’ll be using SQL to query databases, join tables, and retrieve data that will be analyzed using other technologies. Integrating SQL with Python and data visualization tools will help me uncover insights and tell compelling data stories.
🛠️ Tech Stack for My Final Project: The tech stack I plan to use for my project includes:
- SQL 📝 for querying and managing databases
- Python 🐍 for data manipulation and machine learning
- Tableau 📊 for data visualization
This combination will allow me to not only manage and manipulate data efficiently but also present insights in a meaningful way. I’m excited to see how everything comes together as I prepare for my final project and the next steps in my data science career.