Category: Blog
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Conditional Formatting in Excel – Full Step-by-Step Guide (Using Employee Dataset)
Step 1: Enter the Dataset Create the following headers in Row 1: A B C D E F G H Emp ID Employee Name Department Sales Target Attendance % Rating Joining Date Enter the sample data in rows 2–21. Example 1: Highlight Sales Greater Than ₹100,000 Objective Highlight employees whose sales exceed ₹100,000. Steps Step
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JavaScript Hoisting
In JavaScript, hoisting is not magic—it’s the engine preparing the stage before your code begins to speak. Declarations rise to the top of their scope, while assignments stay where they are. That subtle difference is where most confusion is born. Let’s walk through it like a craftsman, piece by piece. 1. Variable Hoisting (var) What
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JavaScript DOM Manipulation Practice
1. Hero Section Update (getElementById) Scenario Homepage headline must change dynamically. Code Explanation getElementById directly grabs one element. Fast and precise. 2. Change Background Color Changes style using .style 3. Select All Product Cards (Class) 👉 Returns HTMLCollection (live list) 4. Highlight First Product 5. Style All Paragraphs 6. Count Sections 7. querySelector (First Match)
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MS Excel SUM Exercise and Practice
BEGINNER LEVEL (1–15) ✅ Task 1: Total Shop Sales Dataset: Item Sales Pen 120 Pencil 80 Notebook 200 Description: Calculate total sales of all items. Solution Formula:=SUM(B2:B4) Steps: ✅ Task 2: Student Total Marks Dataset: Subject Marks Math 75 Science 68 English 80 Description: Find total marks. Formula: =SUM(B2:B4) Steps: Same as Task 1 ✅
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Excel Conditional Formatting Exercise 2026
In Excel, conditional formatting is where raw numbers begin to speak.A dull sheet turns into a signal board—warnings in red, victories in green, patterns glowing quietly in the grid. Practice builds that instinct. Below are 100 practical exercises with datasets and solutions designed the way real office data appears. To avoid repetition, several exercises share
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500 MOST-USED DATA ANALYST FORMULAS CHEAT SHEET 2026
500 MOST-USED DATA ANALYST FORMULAS CHEAT SHEET CATEGORY 1 — BASIC MATH & CALCULATIONS (1–50) CATEGORY 2 — LOGICAL FUNCTIONS (51–100) CATEGORY 3 — TEXT FUNCTIONS (101–150) CATEGORY 4 — DATE & TIME FUNCTIONS (151–200) CATEGORY 5 — LOOKUP & RELATIONAL ANALYSIS (201–250) CATEGORY 6 — CONDITIONAL AGGREGATION (251–300) CATEGORY 7 — STATISTICS & DATA
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ML projects Ideas
Solid ideas that make students pay attention. 1. “FoodFresh” – Predict Whether Vegetables Are Fresh or Spoiled (Image ML) Why it works Food is universal. Students instantly get it — no deep theory needed. Core idea Use a tiny image dataset (fresh vs spoiled tomatoes, potatoes, apples).Train a small CNN (or MobileNet) to classify fresh
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Python DSA Syllabus – A to Z (Basic → Advanced) 2025
Python DSA Syllabus – A to Z (Basic → Advanced) Section 1 – Python Fundamentals Section 2 – Core Data Structures Section 3 – Searching & Sorting Algorithms Section 4 – Recursion & Backtracking Section 5 – Advanced Data Structures Section 6 – Dynamic Programming Section 7 – Greedy Algorithms Section 8 – Mathematics for