🔴 Live Study With Me: SQL & Python for Data Cleaning & Manipulation | Vietnam Client

🔴 Welcome to this *Live Study With Me* session — where we deep dive into *real-world data cleaning and manipulation* using **SQL and Python (Pandas)**.

📌 In today’s session, we’ll work on a **live client-style use case from Vietnam**, walking through:
Cleaning messy datasets using SQL queries
Handling nulls, duplicates, outliers
Writing transformation logic using Python (Pandas)
Step-by-step data manipulation for reporting & analytics
Best practices for data preparation in analytics interviews

💡 This session is perfect for:
• Aspiring Data Analysts & Data Scientists
• Anyone preparing for analytics interviews
• Python and SQL learners looking for hands-on practice
• Those working on client-based analytics projects

🛠️ Tools Used:
pgAdmin / PostgreSQL
Python (Pandas, Jupyter Notebook)
Real-world datasets (simulated for client project)

📊 Project Context:
Simulating a data cleaning scenario based on a **Vietnam-based business dataset**, just like you'd face in a freelance or full-time analyst role.

🧠 Let’s master the essentials of:
`SQL JOINs`, `CASE WHEN`, `IS NULL`, `GROUP BY`, `Pandas fillna()`, `drop_duplicates()`, `lambda`, `apply()`, and more — all in a practical, live format.

🗨️ *Drop your questions in the live chat or comments — I’ll be answering them in real-time!*

👇 Don't forget to:
👍 Like the video
🔔 Subscribe to the channel for more live study sessions
📥 Check the description for dataset links and full code after the stream

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