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Day 14/100 of my Data Analytics journey
Built my first interactive Excel dashboard today! π
It's exciting to see raw data turn into something businesses can actually use to make decisions. Still learning, but definitely improving.
#100DaysOfData #BuildInPublic #DataAnalytics
Day 12/100 of my Data Analytics journey
Back after a sick day and grateful to have caught up.
Today's lesson covered data visualization, Pivot Tables, data models. Every new concept is helping me understand how businesses turn data into insights.
#100DaysOfData #DataAnalytics
Day 13π
One lesson from my data analytics journey:
The best analysts donβt just know the tools, they know how to ask the right questions.
Curiosity is a skill too. π
#DataAnalytics #100DaysOfData #LearningInPublic #WomenInTech
One thing Iβve learned so far:
Data analysts donβt just work with data, they learn how to ask better questions.
Tools matter, but critical thinking matters even more. π
#DataAnalytics #100DaysOfData #LearningInPublic
Day 10 of my Data Analytics journey π
Ten days of showing up, learning, and improving.
Todayβs lesson: data isnβt just about numbers itβs about finding insights that help people make better decisions.
One day at a time. π
#DataAnalytics #LearningInPublic #100DaysOfData #Excel
Day 5/100 of my Data Analytics journey π
Found a very messy dataset and challenged myself to clean it.
I cleaned the data with TRIM(), PROPER(), and Power Query, and highlighted values above the average.
Every dataset tells a better story when it's clean.
#100DaysOfData
Day 8 of my data Analytics journey π
Today I cleaned a sales dataset, built Pivot Tables, and created charts to analyze revenue trends in Excel.
Every dataset is another opportunity to learn. π
#Excel #DataAnalytics #PivotTables #100DaysOfData #LearningInPublic #WomenInTech
This morning I built a Power BI sales dashboard using:
A custom SQL View as the data source
KPI cards showing $9.60M total sales
Sparkline charts comparing USA vs Rest of World
And the day isn't even over yet π₯πͺ
#PowerBI #SQL #DataAnalytics #LearningInPublic #100DaysOfData
Day 7 of my data analytics journeyπ
One week into my data analytics journey!
Today I worked with a sales dataset in Excel, exploring and preparing data for analysis.
Every dataset has a story to tell. π
#Excel #DataAnalytics #100DaysOfData #LearningInPublic
Day 6π
Today I started learning Power BI.
No screenshots yet because I couldnβt access it on my phone, but the learning continues. One skill at a time. π
#PowerBI #DataAnalytics #100DaysOfData #LearningInPublic #WomenInTech
Day 5 of my Data Analytics journey π
Today I explored SQL window functions like ROW_NUMBER(), RANK(), LAG(), and running totals while working on business analysis tasks.
Learning something new every day. π
#SQL #DataAnalytics #100DaysOfData #WomenInTech #LearningInPublic
Day 4 of my Data Analytics journey π
Completed a SQL practical assessment covering SELECT, WHERE, GROUP BY, JOINs, aggregations, and multi-table analysis.
One query at a time. π
#SQL #DataAnalytics #100DaysOfData #womenInTech #LearningInPublic
have meant more than you know.
Cheers to 100days of learningπ₯
The journey continues... ππ
@Techsphereacad @ezekiel_aleke
#DataAnalytics #DataAnalyst #100DaysOfData #DataScience #Excel #SQL #PowerBI #Python #LearningInPublic
Day 94 / #100DaysOfData
-Started a new EDA + Power BI project using a Quick Commerce delivery dataset
-Handled missing values, removed duplicates, and validated the dataset
-A good chunk of today was spent understanding the data before jumping into analysis.
Day 93 / #100DaysOfData
-Started learning Pandas
-Worked on reading files (CSV, Excel, TXT, JSON)
-Learned indexing, filtering, and sorting data
Day 21 of my Data Analytics journey
Building my most advanced Power BI dashboard yet.
3-page interactive dashboard with navigation panel.
Data: 2,005 financial sales orders
Tools: Excel β Python β Power BI
Charts coming tomorrow. π
#PowerBI #DataAnalytics #100DaysOfData
Day 93 / #100DaysOfData
-Started learning Pandas
-Worked on reading files (CSV, Excel, TXT, JSON)
-Learned indexing, filtering, and sorting data
Day 92 / #100DaysOfData
-Covered array operations, broadcasting, matrices, random numbers
-Worked on reshaping, flattening, reversing arrays
-Also learned handling unique values, counts, and mathematical operations
Pretty much covered all core NumPy basics in one go.
Day 20 of my Data Analytics journey.
β AI-generated dataset (959 orders)
β Python for cleaning and analysis
β Power BI 2-page dashboard
Key findings:
β Sea Freight = Β£8M rev.
β 67.15% on-time delivery rate
β Abuja is the busiest city
#DataAnalytics #PowerBI #100DaysOfData
Day 92 / #100DaysOfData
-Covered array operations, broadcasting, matrices, random numbers
-Worked on reshaping, flattening, reversing arrays
-Also learned handling unique values, counts, and mathematical operations
Pretty much covered all core NumPy basics in one go.
Day 91 / #100DaysOfData
-Started learning NumPy basics
-Understood arrays, shape, size, indexing, and basic operations
-Also explored reshaping and how arrays actually work under the hood
Day 17: Capstone project complete. π―
Analyzed 400,000+ e-commerce transactions.
Built a full customer segmentation using RFM analysis.
948 Champions. 1,449 at churn risk. 82% revenue from UK.
Dashboard + full report on GitHub π
#DataAnalytics #100DaysOfData #Python
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