Adepoju Ibrahim Isola

Mathematician || Data Analyst || Data scientist.

Helping business make data-driven decision with Excel, SQL, Python and Power BI.
Building Project in public.

[LUV.PLEEMAH❤️🦋 @HalimatAdepegba]

I wrote down most of the key points dropped during this session.

I wasn’t able to jot down the social sciences session and personal stories because my phone died.

Feel free to go through these screenshots if you missed it and you can drop your notes too!✨

@powerfulbadeeu

[Adepoju Ibrahim Isola @adepoju56]

@SBadekale @AstonKgen Access is needed

[Adeyemi J.A. @AstonKgen]

Erasmus Application Search!!

[Adepoju Ibrahim Isola @adepoju56]

My recent project an AI Bank Marketing Intelligence Dashboardthat predicts customer term-deposit subscriptions using ML.

🌐 Live App: https://t.co/kfcvdnCuvX

💻 GitHub: https://t.co/yHNmrhfWTH

This project strengthened my skills in Data Science, Machine Learning, MLOps.

[Adepoju Ibrahim Isola @adepoju56]

📊 Data Science Tip of the Day

Mean tells you the center.
Standard deviation tells you the spread.

Two datasets can have the same average but very different variability.

[Adepoju Ibrahim Isola @adepoju56]

@AkasoWadud @Ifwal95 Have learnt something here...
And I put that into consideration...

[KingDAM📊 @KingDamilotun]

💡Most Asked Data Analytics Interview Questions

Data analyst interviews aren’t just about technical skills, employers want to see how you think, solve problems, and communicate insights.

Preparing for these commonly asked questions can give you the confidence to stand out and approach your interview with clarity.

Preparation creates confidence. Confidence increases your chances.

Save this for your next interview.

[Adepoju Ibrahim Isola @adepoju56]

📊 Data Science Tip of the Day

Mean isn't always the best average.

When your data has extreme values, the median may give a better picture of the typical value.

Example:
₦20k • ₦25k • ₦30k • ₦35k • ₦1M

💡 Mean is sensitive to outliers.
Median is more resistant.

[Adepoju Ibrahim Isola @adepoju56]

📊 Data Science Tip of the Day

A good chart tells a story at a glance.

Before creating a visualization, ask:
📈 What insight am I trying to show?
📊 Is this the right chart type?
🎯 Can someone understand it in 5 seconds?

💡 Keep your visuals simple, clear, and focused.

[Adepoju Ibrahim Isola @adepoju56]

📊 Data Science Tip of the Day

Better features beat better algorithms.

Feature Engineering is the process of creating or transforming variables to help machine learning models learn more effectively.

💡 Better input = Better predictions.

#DataScience #MachineLearning #Python

[Adepoju Ibrahim Isola @adepoju56]

📊 Data Science Tip of the Day

Correlation doesn't always mean causation.

Just because two variables move together doesn't mean one causes the other.

Always ask:
• Are they truly related?
• Could another factor explain both?
• Am I confusing coincidence with causation?

[🍦 @timebokkaraa2]

AI Courses

1) AI Automation Course

link - https://t.co/yIewMzjlHQ

2) AI Prompt Resources

link - https://t.co/uFZTgH5BI0

Share 🔱

[Adepoju Ibrahim Isola @adepoju56]

📊 Data Science Tip of the Day

Outliers aren't always errors

Some reveal mistakes.
Others reveal valuable insights.

Before removing an outlier, ask:
• Is it a data entry error?
• Is it a genuine observation?
• How will it affect my analysis?

💡 Investigate first.

[Abraham Okah(info hub) @AbrahamOkah2]

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Digital Marketing: https://t.co/IVVn72aFd8

[Adepoju Ibrahim Isola @adepoju56]

@truth4habeeb @Demo4show Yes sir boss

[Adepoju Ibrahim Isola @adepoju56]

📊 Data Science Tip of the Day

Missing values aren't always a problem they're a clue.

Before filling or deleting missing data, ask:
• Why is it missing?
• Is it random?
• Will it affect my analysis?

💡 Better decisions start with understanding your data.

#DataScience

[Jobfound Remote Jobs 👨‍💻 @JobFound5]

Role: Data Entry Clerk
Salary: $16/hr
Location: Remote

Let us know if you are Interested 👇

[Adepoju Ibrahim Isola @adepoju56]

📊 Data Science Tip of the Day
Don't skip : Exploratory Data Analysis (EDA).
Before building any model, ask:
🔹 What patterns exist?
🔹 Are there outliers?
🔹 Is the data balanced?
🔹 What story does the data tell?

💡 Good models start with understanding your data.

[Adepoju Ibrahim Isola @adepoju56]

📊 Data Science Tip of the Day

Most beginners think data science starts with machine learning.

It doesn't.

It starts with understanding your data

✅ Is my data complete?
✅ Are there missing values?
✅ Are there duplicate records?
✅ Are the data types correct?

#DataScience