π Hi, Iβm Femi.
Iβm a beginner in data analytics, currently learning step-by-step.
π Tools Iβm focusing on:
β’ Excel
β’ SQL
β’ Python (soon)
On this page, Iβll share:
β What Iβm learning
β Small projects
β Mistakes & lessons
β My growth journey
Building in public.
Built an E-Commerce Sales & Fulfillment Dashboard in Power BI to analyze $402M+ in sales, fulfillment rates, and brand trends across regions ππ
Data visualization isn't just pretty charts, it's about making KPI tracking instant for decision-makers π‘#data
Six months ago, I was just trying to get my SQL queries to run. Today, Iβm building data pipelines, cleaning messy datasets, and turning raw data into business insights. π
Dropped the "beginner" label stepping officially into entry-level Data Analyst territory. π
What made the difference:
β’ Syntax β Strategy: Focus on solving business problems, not just writing code.
β’ Tutorials β End-to-End Projects: Cleaning, EDA, predictive modeling, and interactive dashboards.
@labadfwu@julianpatrickR@PopBase Why not just confirm from Google before asking unreasonable questions, it just makes you look stupid cus now you do actually look stupid.
Spent the last few months quietly building my data analytics skillset.
From deep-diving into EDA to predictive modeling, I'm officially ready for the next step. Open to new data analyst opportunities! π
Most people think data analysts spend their time building dashboards.
In reality, a huge part of the job is asking better questions.
The quality of your analysis is often limited by the quality of the questions you ask.
#certified