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✅ Types of Machine Learning Algorithms 🤖📊 1️⃣ Supervised Learning Supervised learning means the model learns from labeled data — that is, data where both the input and the correct output are already known. 👉 Example: If you give a machine a bunch of emails mar…

🚀 GigaChat 3.5 Reasoning — a new open-source LLM that thinks before it answers. It breaks problems into stages, builds a plan, checks intermediate results, and self-corrects. Built on GigaChat 3.5 Ultra, it explores multiple step-by-step reasoning paths for ma…

🟠 Part 12 — Dashboard Development • Dashboard layout, Tiled vs Floating, Containers, Device layouts • Dashboard filters, Filter actions, Highlight actions, URL actions, Parameter actions, Set actions • Navigation buttons, Show/Hide containers, Dashboard toolti…

📊 Tableau Learning Roadmap 2026 If you're starting Tableau from scratch, follow this order. Focus on one stage at a time and practice each concept before moving ahead. 🟢 Part 1 — Tableau Fundamentals • What is Tableau? • Tableau Desktop, Tableau Cloud, Tableau…

UNPOPULAR OPINION: Excel is still relevant for data analysis. I am often asked by junior data analysts, “What is the purpose of learning Excel if they already know Python?”. The truth is, Excel/Google Sheets are still widely used across most organizations. And…

✅ Power BI Basics 📊🚀 👉 Power BI is one of the most popular Business Intelligence BI tools used for: ✔ Data visualization ✔ Dashboard creation ✔ Business reporting It is widely used by: ✔ Data Analysts ✔ Business Analysts ✔ Data Scientists 🔹 1. What is Power BI…

Excel Basics for Data Analytics Excel sits at the start of most analysis work. What you use Excel for • Cleaning raw data • Exploring patterns • Quick summaries for teams Core concepts you must know • Data setup – Freeze header row. View → Freeze Top Row. – Co…

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