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Showing posts from January, 2026

Use AI to Compare Prices Before Buying (And Stop Overpaying)

  Use AI to Compare Prices Before Buying (And Stop Overpaying) Udemy Like PowerBI Course Most of us don’t overspend because we’re careless. We overspend because comparing prices is tiring . You open one app, then another. You check reviews, specs, delivery dates, return policies — and eventually you give up and buy whatever looks “reasonable.” This is exactly where AI quietly saves money . The Old Way of Price Comparison Let’s be honest. Before buying anything online, you usually: Check 2–3 websites Read a few reviews Guess if it’s a good deal Hope there isn’t a cheaper option This process takes time — and mental energy. As a result, many people stop comparing and overpay without realizing it . How AI Changes the Game AI doesn’t just show prices. It analyzes information across platforms and summarizes it instantly. Instead of searching manually, you can ask one simple question like: “Compare prices for a Samsung 256GB phone and suggest the best value.” In seconds, AI can...

How to Transition from SQL Developer to Microsoft Fabric Engineer

  How to Transition from SQL Developer to Microsoft Fabric Engineer Udemy like PowerBI Course. If you’re a SQL Developer today, you’re not becoming obsolete — but your role is changing. For years, SQL developers lived comfortably in stored procedures, indexes, and execution plans. But modern analytics platforms are moving toward unified data experiences , and that’s where Microsoft Fabric comes in. The good news? If you already know SQL, you’re closer to Fabric than you think . Here’s how to transition step by step — without starting from scratch. First, Understand What Actually Changes Let’s be clear: Microsoft Fabric doesn’t replace SQL — it expands your scope. Traditional SQL Developer mindset: Tables and views OLTP and reporting queries Performance tuning Stored procedures Microsoft Fabric Engineer mindset: Data flows across systems Lakehouses instead of only databases SQL + notebooks + pipelines Analytics, not just transactions You’re moving from querying...

How Power BI Freelancers Actually Get Clients

  How Power BI Freelancers Actually Get Clients Udemy like PowerBI Course When I started freelancing with Power BI, I thought the path was simple: learn DAX → build dashboards → clients will come. They didn’t. What I eventually learned is this:  clients don’t care how good you are at Power BI — they care how clearly you solve their problem . Here’s how Power BI freelancers  actually  get clients in the real world. 1. They Don’t Sell Power BI — They Sell Outcomes Clients are not looking for: “A Power BI developer with 3 years of experience.” They are looking for: “Someone who can show me why my sales dropped last quarter.” Real example ❌  “I can build interactive dashboards in Power BI.” ✅  “I help founders track daily sales and identify loss-making regions.” The second line gets replies. Every time. Lesson: Always translate Power BI skills into  business outcomes . 2. Their Portfolio Is Better Than Their Resume Most freelancers waste time collecting ce...

What I Stopped Doing in Power BI After Working on Real Projects

  What I Stopped Doing in Power BI After Working on Real Projects PowerBI Course at Rs 99 When I started with Power BI, I followed tutorials religiously. Everything worked perfectly on sample datasets. But real projects are different  — large data, business pressure, performance issues, and constant changes. After working on real-world Power BI projects, here are the things I consciously stopped doing (and why). 👇 1️⃣ I Stopped Creating Too Many Calculated Columns In the beginning, calculated columns felt easy and intuitive.  But in production models, they became a performance killer . Why I stopped: They increase model size They slow down refresh They are calculated row by row What I do instead: Use measures whenever possible Example: ❌ Calculated Column Total Sales = Sales[Quantity] * Sales[Price] ✅ Measure Total Sales = SUMX(Sales, Sales[Quantity] * Sales[Price]) 📌 Result: Faster reports, smaller models. 2️⃣ I Stopped Importing Unnecessary Columns Earlie...