I’m truly overwhelmed with gratitude 🙏
Thank you to everyone who took a moment to wish me a happy birthday. Your messages, calls, posts, and prayers meant more to me than words can express.
I don’t take this love for granted at all. It’s a reminder of the amazing people I’m surrounded by and the impact we continue to have on each other’s lives.
As I step into this new year, I’m more focused, more driven, and even more committed to growth, impact, and excellence.
Thank you once again for celebrating me ❤️
Let’s keep winning together 🚀
Thank you to everyone who took a moment to wish me a happy birthday. Your messages, calls, posts, and prayers meant more to me than words can express.
I don’t take this love for granted at all. It’s a reminder of the amazing people I’m surrounded by and the impact we continue to have on each other’s lives.
As I step into this new year, I’m more focused, more driven, and even more committed to growth, impact, and excellence.
Thank you once again for celebrating me ❤️
Let’s keep winning together 🚀
❤2
Concerning the Excel file please make sure you turn it to CSV file before loading it into MySQL, or PgAdmin 4
🚀 SQL CHALLENGE — DAY 1 IS LIVE! 🔥
I’m excited to kick off Day 1 of my 15 Days SQL Challenge — and we’re starting with a real fintech dataset 💡
No boring theory.
No copy-paste learning.
Just real-world SQL problem-solving.
📊 Today’s Focus: Moniepoint Transaction Dataset
We’re working with real transaction data to answer practical business questions like:
💻 What You’ll Learn Today:
✅ Writing your first SQL queries
✅ Using SELECT, WHERE, COUNT, DISTINCT
✅ Filtering real-world data
✅ Thinking like a data analyst
🔥 Why This Challenge Matters
Most people “learn SQL”…
But few can actually use it to solve real problems.
This challenge is different.
It’s designed to help you:
✔ Build real experience
✔ Gain confidence
✔ Create portfolio-ready projects
📂 Get the Dataset Here:
https://www.kaggle.com/datasets/olagokeblissman/moniepoint-dataset
📢 Join the Challenge (Telegram):
https://t.me/emperor_data
🎥 Watch Day 1 on YouTube:
https://youtu.be/3ai-Y9pS4CA
💬
I’m excited to kick off Day 1 of my 15 Days SQL Challenge — and we’re starting with a real fintech dataset 💡
No boring theory.
No copy-paste learning.
Just real-world SQL problem-solving.
📊 Today’s Focus: Moniepoint Transaction Dataset
We’re working with real transaction data to answer practical business questions like:
💻 What You’ll Learn Today:
✅ Writing your first SQL queries
✅ Using SELECT, WHERE, COUNT, DISTINCT
✅ Filtering real-world data
✅ Thinking like a data analyst
🔥 Why This Challenge Matters
Most people “learn SQL”…
But few can actually use it to solve real problems.
This challenge is different.
It’s designed to help you:
✔ Build real experience
✔ Gain confidence
✔ Create portfolio-ready projects
📂 Get the Dataset Here:
https://www.kaggle.com/datasets/olagokeblissman/moniepoint-dataset
📢 Join the Challenge (Telegram):
https://t.me/emperor_data
🎥 Watch Day 1 on YouTube:
https://youtu.be/3ai-Y9pS4CA
💬
❤3
Emperor data analytics
moniepoint_transactions_dataset.xlsx
Haven't seen our report on this
Forwarded from Emperor data analytics
SQL CHALLENGE DAY 1.pdf
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SQL CHALLENGE — DAY 1 STARTS TODAY!
I’m officially kicking off my 15 Days SQL Challenge — and today is Day 1 🔥
If you’ve been looking for a way to practice SQL with real-world data, this is your chance.
We’ll be working with a fintech transaction dataset, solving practical business problems step by step.
📂 Get the dataset here:
https://www.kaggle.com/datasets/olagokeblissman/moniepoint-dataset
🎯 DAY 1 TASKS (BASIC LEVEL):
Display all records from the dataset.
Show only successful transactions.
List all distinct transaction types.
List all distinct payment channels.
Count the total number of transactions.
💡 Goal: Build a strong SQL foundation — one day at a time.
No excuses. No procrastination. Just consistency and growth.
Drop “DAY 1” in the comments if you’re joining 👇
Let’s build together 💻📈
I’m officially kicking off my 15 Days SQL Challenge — and today is Day 1 🔥
If you’ve been looking for a way to practice SQL with real-world data, this is your chance.
We’ll be working with a fintech transaction dataset, solving practical business problems step by step.
📂 Get the dataset here:
https://www.kaggle.com/datasets/olagokeblissman/moniepoint-dataset
🎯 DAY 1 TASKS (BASIC LEVEL):
Display all records from the dataset.
Show only successful transactions.
List all distinct transaction types.
List all distinct payment channels.
Count the total number of transactions.
💡 Goal: Build a strong SQL foundation — one day at a time.
No excuses. No procrastination. Just consistency and growth.
Drop “DAY 1” in the comments if you’re joining 👇
Let’s build together 💻📈
👍1