From learning Excelβ¦ to actually using it for analysis π
Completed the Data Analysis in Excel course on DataCamp.
Worked with:
β’ Pivot Tables
β’ Logical Functions
β’ What-If Analysis
β’ Forecasting
But the real shift:
Not just how tools workβ¦
But when and why to use them.
@DabereNnamani The forex market, I believe even in it's volatility if we get all the indicators that best describe the forex market, we can achieve 99% accuracy.
And if that happens, we can implement quality control for the economy
@officialladi_T Python only thrive better than R because of how it can be used across different technology, web, app, ai.
But R excels better in statistical methods and analysis
Simple Linear Regression sound simple π
It summarizes the relationship between two variables
Simple enough
Until you realize the mathematics, assumptions, and theory behind that single line make it far from simple
Statistics has a way of hiding complexity behind simple names
GM, world βοΈ
How do you deal with fatigue and burnout?
This past week has been rough.
I'm not bringing my A-game, and I can feel it.
How do you reset when your mind just won't cooperate? π₯Ή
GN π
Life feels lighter when you stop measuring yourself against timelines that were never yours. Learn, grow, rest, repeat. That's more than enough.
Statistics is so fun.
I just finished running multiple regression analysis using SPSS.
Now for the most crucial part. Interpreting the results as a statistician. Values are meaningless except a statistician has worked his magic. β¨
Pearson measures linear relationships.
Spearman measures monotonic relationships using ranks.
Kendall's Tau goes one step further it measures agreement by comparing concordant and discordant pairs.
Different coefficients.
Same goal: understanding relationships. π