Edgar RN

@FolasadeOlukoju I am so tensed about the Spain match, Spain wouldn't be easy at all.

They better change Portugal’s coach, else nothing for them Spain will beat them ehn. Oyarzabal no dey do offside o

@kinghamzy When making use of logical statements, think of them like making sentences. It makes it easier that way.

What's one piece of advice you'd give to someone who's just starting to learn EXCEL?

@PeterFatd1 C ask business questions. * What product dropped exactly * What was the sales like prior to this * Sales drop in comparison to what? These are few questions I could think of.

You're Hired as the Data Analyst. What's Your First Move? Day 1 on the Job Your manager says: "Sales have dropped by 18% this quarter." That's all the information you receive. What's the first thing you would do? A. Build a dashboard B. Clean the data C. Ask business questions D. Start predicting future sales 👇 Explain your answer. Tomorrow I'll share how senior data analysts usually approach this problem.

@Timsedx Very important. I did learn a little bit about design when I was learning email design and email marketing.

Apart of from Cleaning and Making your Dashboard tell the story, don’t let anyone lie to you, you also need a Graphics design skills to also to determine the right color scheme you’ll be working with….

@Femiforge Tbh, but I'll get through it.

@edgarbureau SQL aint that easy, too.

Nobody : Beginner Data Analyst 👇

There’s nothing I want more than a good paying job rn🥹

@MollyUntamed20 There is a weak point, all Ampoules have a marked dot on the Neck , break against the dot not towards it.

When one wants to break ampoule using their hands without forceps, is there any specific technique y'all use ?? Because am getting tired of being injured by it already 😭 I've developed phobia for breaking ampoule now 😓💔

@enyinna_ 😂😂

Enugu no get water sha.

📌 PART 1 : How Data Analysts Collect Company Data (Beginner-Friendly Guide) Lately I’ve been talking to a lot of new analysts who feel confused about what to actually do when a company says: “Help us analyze our data.” I’ve been there, unsure of where to start, what questions to ask, or how real analysts collect business data. So today, I want to break it down in the simplest way possible. If you’re a beginner, read this carefully and save it. 1️⃣ Start With a Requirements Discovery Call Before touching Excel, SQL, or Power BI, your first job is to understand the business, not the dataset. Ask the company questions around: Business Goals • What problem are we solving? • What decisions will this analysis improve? • What does success look like? Data Needs • What data sources exist? • Where is the data stored (Excel, SQL, CRM, POS)? • What time period should be analyzed? Output Expectations • Dashboard, report, or cleaned dataset? • Which KPIs matter the most? • Should the report update weekly or monthly? Access & Security • Will you need login access? • Any sensitive columns to anonymize? This is how professionals avoid confusion and build trust early. 2️⃣ Ask for the Right Data Files Depending on the industry, request the correct tables: Retail / E-commerce Orders, Customers, Products, Inventory, Returns. Finance Transactions, Ledger, Forecasts, Budgets. Healthcare Appointments, Billing, Encounters, Lab results. HR Employees, Payroll, Hiring funnel, Performance. Always request the files in Excel or CSV, with proper column names. And ask for a data dictionary, it explains what each column means. 👉 If this helped you, watch out for Part 2 where I’ll break down cleaning, analyzing, and delivering insights like a pro.

@Timsedx 💯

@Femiforge Frenemies! because Omo😅

Data Analyst to Data Analyst: What's your current relationship with SQL?

Essential SQL Commands & Functions Cheatsheet Here's a quick reference of key SQL operations to know: ➜ SELECT → Retrieve data from a table ➜ WHERE → Filter rows based on condition ➜ GROUP BY → Aggregate rows with same values ➜ HAVING → Filter groups after aggregation ➜ ORDER BY → Sort result by one or more columns ➜ JOIN → Combine rows from multiple tables ➜ UNION → Merge result sets into one ➜ INSERT INTO → Add new data into a table ➜ UPDATE → Modify existing records ➜ DELETE → Remove records ➜ CREATE TABLE → Define a new table ➜ ALTER TABLE → Modify an existing table ➜ DROP TABLE → Delete a table ➜ TRUNCATE TABLE → Remove all records ➜ DISTINCT → Get unique values ➜ LIMIT → Restrict number of results ➜ IN / BETWEEN → Filter by multiple values/ranges ➜ LIKE → Pattern matching ➜ IS NULL → Filter NULL values ➜ COUNT() / SUM() / AVG() → Common aggregate functions Hope this helps you 😊

@33bandit1 @notorious_zaddy I don't really fancy it. ICU specialty is probably my one and only choice.

@edgarbureau @notorious_zaddy Go for anesthesia if money is the motivation

I’m definitely gonna do it this year too

@Femiforge And then there is Self Join, where the table joins to itself.

SQL join returns only the rows where there is a matching value in BOTH tables? 🔘 LEFT JOIN 🔘 INNER JOIN 🔘 FULL OUTER JOIN 🔘 RIGHT JOIN

@Ssaasquatch 😂😂

Someone random Twitter user broke-shamed me. Checked his media out of curiousity then muttered “you know what, fair enough,” and handed the matter over to God. Guys an idiot but no be small boy at all lmao

@notorious_zaddy Thank you. I'll think and weigh the options.

In my opinion ooo. I’ll say midwifery is no longer that lucrative, please go for other specialties that would make you earn more, like A/E, Perioperative, ICU, Cardio-thoracic………and so on.

Some people are trying to build a data career while carrying real life. Not the perfect LinkedIn version. The real version. ➝ Studying after work ➝ Applying after rejection emails ➝ Learning SQL with limited time ➝ Rebuilding confidence in a new country ➝ Starting from Nigeria with fewer resources ➝ Trying to explain a non-linear career path ➝ Watching others post wins while you are still building quietly I respect that version. Because that is where most serious growth happens. Not when everything is clear. But when you keep creating evidence while nothing is guaranteed yet. One finished project counts. One better CV bullet counts. One clearer interview answer counts. One SQL concept you finally understand counts. One mistake you corrected instead of hiding counts. The goal this week is not to look successful online. The goal is to become more useful in real life. Build the proof. The confidence will follow.

@MollyUntamed20 ICU and Labor ward

Tell us one ward you'll never forget during your clinical posting.