From learning Excelโฆ to actually using it for analysis ๐
Completed the Data Analysis in Excel course on DataCamp.
Worked with:
โข Pivot Tables
โข Logical Functions
โข What-If Analysis
โข Forecasting
But the real shift:
Not just how tools workโฆ
But when and why to use them.
Why do most data people reach for Python over R? ๐
R was literally built for statistical computing.
Vectorized operations come out of the box.
In Python, you reach for NumPy first.
And before someone says โlibrariesโโฆ
R has a rich ecosystem too.
So what made Python win?
Contrary to popular opinion ๐
The data suggests crude oil price alone may not strongly explain Nigeriaโs inflation trend.
But crude oil exports show a clearer relationship.
Around 2020, exports declined while inflation started peaking.
#dataanalysis
Contrary to popular opinion ๐
The data suggests crude oil price alone may not strongly explain Nigeriaโs inflation trend.
But crude oil exports show a clearer relationship.
Around 2020, exports declined while inflation started peaking.
#dataanalysis
Chess feels like a growing tree โ๏ธ๐ณ
Every move creates more possibilities.
The middle game becomes chaos.
Then pieces disappearโฆ
and the tree starts shrinking.
Until only one path remains:
Checkmate.
Life is full of differences ๐
Different people. Different outcomes. Different groups.
But statistics asks a deeper question:
Are those differences truly significantโฆ
or just random chance?
Thatโs the idea behind ANOVA and the F-test.
Youโve made it through days you thought you wouldnโt.
Donโt forget that when things feel heavy again.
GM, especially to those who say it back๐
Data Analytics X has some of the most disciplined learners Iโve seen
People spending hours learning SQL, fixing dashboards, cleaning datasets, and improving every single day.
Data minds,
I don't know who needs to hear this but your Analysis does not always have to end as a Dashboard. It could be a report
Let's talk about it ๐งต๐
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