Awwal Adepoju

Where is capital tied up in inventory? Which products are overstocked or understocked? Where is the company exposed to risk? That’s what I’m starting today. Realizing something important: Data analysis isn’t about tools — it’s about solving problems. I’ll be sharing what I find.

I missed the deadline for a data challenge… But I decided to work on it anyway. The project: Inventory Risk & Capital Exposure Analysis (Excel) This isn’t just about using Excel. It’s about answering real business questions: #Datanalytics #Excel #SQL

F*King reall

Things Data Analysts secretly do… • Talk to themselves while analyzing data • Celebrate when code finally works • Panic when numbers don’t make sense • Feel like detectives sometimes Just me? 😅

@GabrielJudith6 Thanks Judie

@D_DataAlchemist Amazing 🙌keep it up dear

I’m starting my data analysis journey in public. I’m an Industrial Chemistry student who recently became curious about something: How much of the world can be explained with data?

but that might be a visibility issue. Cleaned, queried, visualized. Lesson: Data doesn’t just show reality — it shows what can be measured.

I started exploring a global COVID dataset using MySQL & Tableau 📊 One pattern stood out immediately: Yemen shows a very high death rate (~26%) Despite not having the highest number of cases. Meanwhile, the US has the highest cases… but ~4% death rate. Globally?

Fatality rate is ~0.91%. So what explains this gap? This could suggest: limited testing (only severe cases recorded) underreporting of mild cases differences in healthcare capacity Another pattern: Some regions appear less affected in the data…

@Asym_Alwali Yeah, sure

@D_DataAlchemist Yes bro turn on the notifications you will see alot of cool updates

Day 2 of learning SQL. One thing surprised me: Writing queries is easy. Understanding the structure of the data is harder. Tables, duplicates, missing values if you ignore them, your queries can return the wrong results.

@GabrielJudith6 @funkeakindele You're welcome. Would love to connect

@D_DataAlchemist @funkeakindele Thank you

Consistency or talent, which do you think matters more?🤔🤷‍♀️

@GabrielJudith6 @funkeakindele Talent does not beat hard work and consistency.

@D_DataAlchemist @funkeakindele I agree, both matter. Self-discovery shows you the path, and consistency keeps you moving forward right. But do you think talent can survive without consistency?🤔

@Asym_Alwali That’s interesting 👀 Bridging that gap between learning and real-world application is exactly what I’ve been thinking about. I’d love to follow along and see what you’re building.

@D_DataAlchemist Yes that's true I'm Building Something t bridge that gap it will be great to follow along d 🙂 and see what we could build as I'm sharing anything in public.

@vheeorji22 SQL man

you have 3 hours to analyze a dataset and present findings. you're reaching for: A. Excel B. Python C. SQL D. I don't know

@CareersWithMBA Joined. Thank you

@D_DataAlchemist The WhatsApp link is in the comments

Ready to become an in-demand Data Analyst in 2026? YOU CAN START FOR FREE! The difference between a stagnant career and a high-growth tech role is ONE decision. Commit just 7 weekends — this is your launchpad 👇 📅 Starts: March 28, 2026 👨‍🏫 Learn from industry experts

Ah, NEPA… the only relationship where you love it when it shows up, but mostly it ghosted you 😅 Trying to do data work, charge my laptop, run SQL queries, and boom… lights out. Electricity, can we commit to being consistent this year? #learninpublic #NEPA #ElectricityStruggles

@ekanemjr_99 Built this Seattle Market analysis dashboard via @Alex_TheAnalyst

Hello Data Fam 👋 It’s midweek already! What have you been practising or learning so far this week? Drop it in the comments — whether it’s Excel tricks, SQL queries, dashboards, or a new concept you’re trying to understand. Let’s share, learn, and gain insights from each other

@RuthChika12 Classic messy dataset problem 😅 I’d first standardize the column: strip symbols, remove text like USD/£, handle commas → then convert everything to a single currency if needed. It’s crazy how many “number” columns are actually all over the place.

I’m cleaning a dataset and I saw this in the “unit price” column: $129.01 USD £791,140 98.65 Same column 😭 How would you clean this as a data analyst?

📊 DOCUMENTING… Q1 2026 is humbling me 😅 Learning SQL, Excel, Tableau, Power BI is one thing. Applying it is another. Being a data analyst isn’t tools → it’s thinking, problem-solving, extracting insights. Data analysts / learners, let’s connect & share insights.