Hello X 👋 I'm Oluwapelumi.
Data Analyst Intern at Decodelabs. 📊🏥
Learning to solve problems using diverse datasets (SQL, Excel, Power BI), bringing a unique analytical edge with my knowledge in healthcare.
Follow my journey building in public! Let's connect 🚀
#DataAnalytics
Just completed my internship with decodelabs and it was a great way to re-learn and strengthen my skill as a data analyst. here is the Git link: github.com/Only-Eni Dear senior Data experts, please check and review
#Dataanalyst#LearningJourney
The more I learn about Data Analytics, the more I realize that stakeholders don't care about charts.
They care about answers.
Not:
❌ "Here's the dashboard."
But:
✅ "Here's what the data suggests we should do next."
Just completed a DataCamp assessment.
One thing I appreciated wasn't the score,it was seeing my skill gaps clearly.
Strength:
✅ Data Foundations
Areas to improve:
📌 Predicting the Future
📌 Summarizing Data
📌 Making Recommendations
It's a reminder that data analytics isn't just about cleaning data or building dashboards.
The real value comes from turning data into insights, predictions, and actionable recommendations.
Back to learning.
Another lesson I'm learning from Data:
Numbers don't speak for themselves.
The same dataset can tell different stories depending on the question being asked. That's why context is just as important as the data itself.
#DataAnalytics
One thing I've noticed while learning Data Analytics:
Finding an insight is only half the job.
If you can't explain it clearly to someone else, it loses most of its value.
Good analysts don't just work with data.
They communicate decisions.
#DataAnalytics#DataStorytelling
The more I learn Data Analytics, the more I realize it's not about tools.
Excel, SQL, and Power BI are important.
But asking the right questions is what turns data into insights.
Tools process data. Questions create value.
#DataAnalytics#LearningInPublic
One mistake I see beginners (including myself) make in EDA is jumping straight into charts.
EDA is about understanding the data:
• Missing values
• Outliers
• Distributions
• Relationships
• Data quality issues
Visualization for insights comes after.
I used to think Data Analytics was all dashboards and visualizations.
Turns out, a lot of the work is cleaning messy data first.
Noisy data in = misleading insights out.
The more I learn, the more I appreciate the importance of data quality.
#DataAnalytics#LearningInPublic
One thing SQL taught me quickly: A missing comma can waste more time than a complex query. I once stared at a query for several minutes, wondering why it wouldn't run.
#SQL#DataAnalytics#LearningInPublic
The issue? A single comma.
Not the JOIN.
Not the WHERE clause.
Not the logic.
Just punctuation.
SELECT
customer_id
customer_name,
revenue
FROM sales;
Can you spot it?
SQL expects a comma after customer_id.
These tiny syntax errors are frustrating, but they've taught me something important: Data analysis isn't only about solving big problems. It's also about paying attention to small details. Sometimes the difference between an error and a successful query is literally one character
I'm currently working on an ecommerce Dataset at @decodelabs , Because I believe better decisions come from better data.
On this account I'll share:
📊 Analytics projects
📈 Insights from real datasets
🧠 What I'm learning
🚀 My journey into tech
Hello X 👋 I'm Oluwapelumi.
Data Analyst Intern at Decodelabs. 📊🏥
Learning to solve problems using diverse datasets (SQL, Excel, Power BI), bringing a unique analytical edge with my knowledge in healthcare.
Follow my journey building in public! Let's connect 🚀
#DataAnalytics