Student of Deen; Not an Ustaz | Markazy | Tech Bro |Urban and Regional Planning | OOU | Data Analyst In Training

Lagos, Nigeria
Joined April 2023
AbdulQudus | Data Analyst retweeted
This lady clearly explains average, Median and Quartile in Data Analysis🔥
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AbdulQudus | Data Analyst retweeted
You can learn data analysis for free on YouTube: • Excel = Ezekiel With Ezekiel • SQL = Alex The Analyst • Power BI = Guy in a Cube $0.00.
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AbdulQudus | Data Analyst retweeted
And just like that…🥹my 3 months data analytics journey is coming to an end. Classes completed ✅ Capstone completed ✅ So many lessons, struggles & “why is this not working?” moments 😂 I’m proud of how far I’ve come. This is only the beginning. @ezekiel_aleke @TechSphereAcad
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AbdulQudus | Data Analyst retweeted
SQL is just: - Data Storage (Tables, Schemas, Databases) - Data Cleaning (TRIM, REPLACE, CAST, COALESCE) - Data Retrieval (SELECT, WHERE, ORDER BY, LIMIT) - Data Analysis (GROUP BY, HAVING, JOINS, SUBQUERIES) - Data Automation (Views, Stored Procedures, Triggers) That’s it
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AbdulQudus | Data Analyst retweeted
Data Cleaning Checklist: - Check for Duplicate - Identify missing values - Correct datatype - Standardize text values - Validate data values - Check for inconsistencies - Check for outliers - Document changes
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AbdulQudus | Data Analyst retweeted
Power BI is just: - Data Connection (Excel, SQL, Web, APIs) - Data Cleaning (Power Query) - Data Modeling (Relationships, Star Schema, DAX) - Data Visualization (Dashboards, Charts, Filters) - Data Sharing (Publish, Power BI Service, Reports) Don't complicate it🥀
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AbdulQudus | Data Analyst retweeted
Dear Data Analyst! If you start today You can learn Excel in October Learn Power BI or Tableau in November Learn SQL in December Start applying for jobs in December Just 3 months is all you need Start now and learn consistently❤️
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AbdulQudus | Data Analyst retweeted
Leave: Excel Power BI SQL Python Portfolio Cv Job How to build your online visibility To me You just bring: Listening hears Consistency Patience 3 months A laptop Data Sub We lock-in 8 days❤️🔥 Don’t miss this for anything
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AbdulQudus | Data Analyst retweeted
All the Excel basic functions in a single video for a beginner:
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AbdulQudus | Data Analyst retweeted
I made an ebook. I spent a lot of time talking to and interviewing experts in cybersecurity, tech sales expert. in conjunction with a fintech brand, to bring this e-book to life. It’s completely FREE. Take it, share it with your friends and family, and give someone who needs it a roadmap to break into tech and start earning in dollars. 1. drive.google.com/file/d/1NVF… 2. drive.google.com/file/d/1QW0…
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AbdulQudus | Data Analyst retweeted
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AbdulQudus | Data Analyst retweeted
I didn’t have the “right” background. I just refused to stay where I was. You don’t need the perfect starting point. You only need the decision that this is no longer acceptable.
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Tutorial datasets are clean. Real-world data? Missing values, Duplicates, Wrong formats, Inconsistent entries, And sometimes… pure chaos😂 That's why practicing with messy datasets is so important. The goal isn't just to learn the tool. Learn how to handle the problem📊.
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AbdulQudus | Data Analyst retweeted
DATA MODELING Putting data into tables is easy. Designing those tables so people can actually understand and use the data is the real challenge. That’s where Data Modeling comes in. It defines how data is structured and how different pieces of data relate to each other. Three common levels: → Conceptual: What exists? → Logical: How is it connected? → Physical: How will it be stored? Real-world example: An e-commerce business has: Customer → Order → Product → Payment Instead of throwing everything into one giant table, engineers carefully organize these relationships. For analytics, the same data might become: Fact Sales + Customer + Product + Date Good data modeling makes: → Queries easier → Definitions clearer → Reports more reliable → Data easier to maintain Free resources: → dbt SQL Models lnkd.in/g5WGRhdw → Kimball Group lnkd.in/gjrHJZeN Good data modeling turns complex data into something people can actually use.
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AbdulQudus | Data Analyst retweeted
Dear Data Analyst!!! You have learned enough Build a resume/Portfolio And get a job Even with zero experience Use this🧵
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AbdulQudus | Data Analyst retweeted
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AbdulQudus | Data Analyst retweeted
12 must-know Data Cleaning techniques:
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AbdulQudus | Data Analyst retweeted
Once you learn how to shop directly from China, E.g Temù or shien your wardrobe changes completely. Call me cheap I don't care I ain't rich, I don't do fraud.😭 It's knowing what to search for. Here's my style after making plenty of mistakes. 1. T-shirts: Skip 100% polyester unless you're buying gym wear. Instead, search: • 100% Cotton • Combed Cotton • Heavyweight Cotton • 240-300 GSM Cotton • Premium Cotton • Mercerized Cotton The heavier the GSM, the thicker and more premium the shirt usually feels. 2. Jeans: Denim Jeans Temu is surprisingly good for denim if you know what to search. Search: • Denim Jeans • Cotton Denim • Raw Denim • Selvedge Denim (if available) • 98% Cotton + 2% Elastane • 99% Cotton Avoid jeans with high polyester content. The more cotton, the better they'll age and feel. 3. Body-hug clothing: Search: • Ribbed Knit • Modal • Viscose Blend • Cotton-Spandex Blend They hold their shape much better than cheap polyester. 4. Hoodies Search: • 400 GSM • French Terry • Cotton Fleece • Heavyweight Hoodie 5. Chains Search: • 316L Stainless Steel • Titanium Steel • PVD Gold Plated • Vacuum Plated These are far more resistant to fading than ordinary fashion jewelry. 6. Earrings Search: • 925 Sterling Silver • 316L Stainless Steel • Hypoallergenic • Moissanite (if you're buying stones) 7. Scarves Search: • Mulberry Silk • Silk Blend • Cashmere Blend • Wool Blend • Viscose Avoid the shiny, thin polyester scarves if you're after a premium look. 8. Loafers Search: • Genuine Leather • Cow Leather • Full Grain Leather (rare but worth looking for) • Rubber Outsole 9. Sneakers Search: • Rubber Outsole • EVA Midsole • Breathable Mesh • Leather Upper • Stitched Sole Pictures lie a lot The description usually tells the truth. Here's how I shop: 1. Read the material composition before anything else. 2. Sort by Most Orders or Best Selling, not cheapest. 3. Only buy products with lots of reviews or pictures or even better when a Nigerian has purchased it before they always tell the truth. 4. Read the 1-star reviews first. They'll tell you what the seller won't. 5. Look at customer photos, not the product photos. 6. Check the weight of the product. Better quality clothing is often heavier. 7. Read the size chart. Don't assume your Nigerian size matches. 8. If the title has words like "luxury," "premium," or "designer" but the material is 100% polyester, not everything but still move on. Your best friend isn't the product picture. It's the material, the reviews, and the customer photos. That's how you separate the gems from the junk. I hope this help. Things are to expensive for a country this poor.
I think its Yahoo boys that's making some of you clowns You are a security man You see me 10 times, you beg and hail me 10 times You sell shoes 85k I can get on Temu for 50k with free delivery You open a restaurant and use plastic takeaway to sell one plate of Egusi soup for 18k. Just because Yahoo boys are tipping you everytime you hail them or because Yahoo boys are buying 5$ Chinese sneakers for 85k or because Yahoo boys mostly do not have taste and will accept 18k soup in a black SUP plastic takeaway That does not mean we are all Yahoo boys I am not giving you shishi unless you earn it. If you like hail me 1 million times I will buy my cheap Chinese shoes on Temu and I will not accept an SUP for an 18k soup
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AbdulQudus | Data Analyst retweeted
7 hard-won lessons I’m trying to hack into my brain before 2026 ends
🤖 Made with AI
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AbdulQudus | Data Analyst retweeted
Hey algorithm, connect me with people who love: 📊 Data Analysis 📈 Data Science 💻 Excel, SQL, Power BI & Python 🔍 Problem-solving 🧠 Critical thinking 📚 Continuous learning 📕 Data books 📝 Analytics projects 🔬 Bad dashboards 📖 Data storytelling 📢 Data Analysis Made Easy 📓 Learning and growing If that’s you, welcome home.
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