Reintroducing myself π
I'm Bayonle Makinde β a 300L Statistics student and Data Analyst focused on turning data into actionable insights. π
I share data-related content and connect with like-minded professionals.
Open to collaborations and meaningful connections. π€
Iβm Bayo, a Data Analyst. π
If youβre into Data Analytics, Statistics, Excel, SQL, Power BI, or Python, youβre in the right place.
Practical insights. Resources. Challenges.
Letβs connect. π€
Join Data Forge π
https://t.co/iDlyYl7TbG
Most people use Excel worksheets.
Not many use Sheet View.
Working in a shared workbook? It lets you filter or sort without affecting everyone else.
How: View β Sheet View β New β apply your filters.
π
If you want to get really good at Excel,
donβt just watch tutorials.
Take a messy dataset.
Try to clean it.
Analyze it.
Build something with it.
Get stuck.
Search for a solution.
Thatβs where the real learning happens.
@DataSecChron Very true. Sometimes, stakeholders want the meal, not the recipe and dirty dishes.
But for analysts learning from each other, the messy part is often the most valuable part.
Can we have more people showing the messy part of their data projects?
The cleaned dashboard is nice.
The decisions you made before getting there are more interesting.
8. If you're working on a Data Analytics project right now, try this:
Write the business problem in one sentence.
Then write 3β5 questions that would help you answer it.
You'll probably approach the entire project differently.
7. So before opening Excel, SQL, Power BI, Python or Rβ¦
Write down the question first.
Your tools can help you analyse the data.
They can't decide what you should be looking for.
6. And this is where Data Analytics gets interesting.
The goal isn't to find everything in the dataset.
It's to find what actually matters to the question you're trying to answer.
5. That question can lead you to investigate:
β’ Distance
β’ Traffic
β’ Time of day
β’ Weather
β’ Vehicle type
β’ Delivery location
Now you're not just making charts.
You're investigating something.