Freedom | Excel Boss

For the past few weeks, I’ve been sharing from my Excel101 classes, snippets of lessons, assignments, and what students were learning each week. After a while, something interesting started happening. A lot of people began reaching out asking the same question: "Can I get the recordings?" "Is there a way to watch the classes?" So I decided to do something about it. Instead of letting the sessions disappear after the live classes, I turned the entire program into a structured course so anyone who’s interested can still learn from it. I’ve now uploaded the full EXCEL101 course on Mainstack. Here [mainstack.com/excel101] The course walks through the same journey we covered in class: • Excel foundations & structured data entry • Core functions and logical thinking • Pivot tables and statistical analysis • Power Query and the ETL mindset • Power Pivot, data modeling, and KPIs Basically the same workflow analysts use when working with data. So if you missed the live class but still want access to the lessons, recordings, practical files, and assignments, it’s now available. You can check it out here: [mainstack.com/excel101] And like I always say in class: I won’t just tell you how, I’ll show you how. #ExcelTraining #DataAnalytics #LearnExcel

@cheftee_lead Scares me like mad 😂 If I’m doing something like explaining my work or something it will easier for me

@ObohX Omo I Dey always fear to go live 😂

Tested Out the Tiktok Live Studio today and it was a fun 25mins until I clicked rubbish 😂 I'll definitely find a day to be doing Live Session on Tiktok from next month once my whole settings is opened I've to be live for 25mins for more than 3 times to use display capture (share my whole screen) I'll test it again another day 😂

@simplyselected Thank you 🙏

@ObohX your video inspired this boss.

Day 25/30✅ Dashboard is live @ajoke_ofe @ezekiel_aleke 2 months ago I couldn't write a basic Excel formula. This week I built a full Technology Sales Dashboard from scratch. Here's everything I found in the data

𝗧𝗵𝗲𝗿𝗲 𝗮𝗿𝗲 𝘁𝘄𝗼 𝘁𝘆𝗽𝗲𝘀 𝗼𝗳 𝗱𝗮𝘁𝗮 𝗰𝗹𝗲𝗮𝗻𝗶𝗻𝗴. Most people treat them as one — and that’s where things break. The first is technical cleaning. Duplicates, NULLs, wrong data types, malformed emails, negative prices. These are problems that are wrong regardless of the business. A missing name is a missing name everywhere. This belongs in the Silver layer. Bronze takes data exactly as it arrives. Silver makes it structurally sound — no interpretation, just fixing what’s broken. The second is business rule implementation. And this is where context kicks in. A negative amount isn’t always wrong — on a refund, it’s valid. An order under $1 might be a test transaction. Revenue might only count completed orders, not pending ones. None of that is universal. It depends entirely on how the business defines things. This belongs at the Silver → Gold boundary — after the data is already clean. Apply business rules to dirty data and you’re building logic on a broken foundation. The reason to keep them separate is simple. When something breaks, you need to know immediately: Is this a data quality issue… or a logic issue? If they’re tangled together, you’ll spend hours trying to figure it out. Bronze is raw. Silver is clean. Gold is trusted. That’s a pipeline people can rely on. #DataEngineering #ETL #DataQuality #SQL #Datafam

@FacelessGai Well Done 👏👏

So, i saw this first frame in the tweet I quoted few days ago and I was inspired by how clean amd sleek the designs are, so I decided to recreate something similar.. Not really close but not so bad either. @ObohX thanks for the inspiration.

@iam_daniiell That would definitely make sense

@ObohX Nice one.. i don dey reason am since.. maybe we collab as well

@Timsedx I think it needs stable network with Good upload speed

@ObohX Been trying to update the TikTok live on my pc But network is slow

@_VictorUgwu Thank you for the Rose 😂😂

@ObohX Especially the ladies that joined 😂

Real, Especially negotiating my fee on my behalf 😭😂

@vheeorji22 Snipping tool

How to screenshot on a laptop???😭 This is really frustrating 😭

That trash 😂 Pivot table on Google sheet ? Me and you fit fight !

I just shared a practical breakdown of Contribution Analysis using SQL If you care about: 📊 Understanding what drives revenue growth, sales decline etc. This is for you 👇 Link: linkedin.com/posts/osele-jo… #DataAnalytics #SQL #DataScience #BusinessIntelligence #Analytics

@Prime_Analysis @iam_daniiell No oh 😂😂😂

@ObohX @iam_daniiell 😂😂😂 Yakubu you can always manage No fear

😂😂😂 Omo na joke ooo, excel can actually do it My bet on @ObohX and @iam_daniiell

@iam_daniiell @Prime_Analysis 😂😂😂😂

@ObohX @Prime_Analysis Dem wan pull you out of retirement 😂

@OboniiX @Endometriosis @endoinfo @Endofound @TheEndoNetwork @GyptianXXIV @WHO Amazing work My Chief 👏

She’s been trying to get pregnant for five years. Every test comes back negative. Every cycle is a reminder. Every doctor visit ends with uncertainty. But infertility wasn’t the first sign. It started years earlier, quietly: - Irregular periods - Persistent pelvic pain - Hormonal changes that were dismissed as “normal”. At 25, she was told it was stress. Nothing to worry about. By 30, the pain was routine. Fertility was now a crisis. Only then did she get a diagnosis. Late. Most people think Endometriosis is just “bad period pain.” But the data tells a different story. What we know about Endometriosis • A chronic condition where tissue similar to the uterine lining grows outside the uterus, often affecting the ovaries, fallopian tubes, and pelvic lining • Common symptoms include pelvic pain, painful periods, and pain during intercourse, though severity varies widely • Strongly associated with infertility and primarily affects women in their reproductive years, with symptoms sometimes starting as early as adolescence • Diagnosis is often delayed by several years due to symptom overlap and lack of simple non-invasive tests Key Insights from 10,000 patient records: • 41% of patients ≤25 were already showing diagnostic signals • Yet the highest confirmed cases occur in ages 30–39 • Hormonal abnormalities drive over 70% of diagnoses • Patients with multiple symptoms are ~2x more likely to be diagnosed Stakeholder Recommendations: • Screen young patients (<25) using symptom burden, menstrual irregularity, and hormonal tests, not just pain. • Implement automated flags for patients with ≥3 symptoms or dual fertility risk for priority evaluation. • Schedule regular check-ins for high-risk patients to monitor progression and intervene early. • Set measurable KPIs to shorten time from symptom onset to confirmed diagnosis, ideally under 3 years. Endometriosis isn’t just under-diagnosed: it’s delayed-diagnosed, and that delay compounds risk. It's not a single-symptom condition, but a multi-factor pattern, yet today: • Pain is treated in isolation • Hormonal changes are assessed separately • Fertility concerns are addressed later No unified view connects these signals early enough, and time isn’t neutral: in endometriosis, it’s a risk factor. Full insights on LinkedIn 👇🏾 🔗 tinyurl.com/4pdzzu2p #Endometriosis #DataAnalytics #Healthcare #Datafam #HealthTech

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Do you see a man skilled in his work? He will stand before kings; he will not stand before obscure men - Proverbs 22:29