🔥Top 3 SQL Projects Everyone Should Know in 2026 | Intellipaat
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Abhisek Sahu on Instagram: "Finally Found Best LeetCode SQL Question Answer Prep Guide . . Save and Share !! . Follow & comment 'leetcode' to get this this sql data analysis Data analyst guide . Tag Someone who Need this !! . 👉Around 2–3 hours per day , that covers SQL, Excel, Power BI, Python (Pandas, NumPy), Data Visualization, Statistics, Projects, and Portfolio building. 👉 Tools : SQL • Excel • Power BI • Python • Pandas • NumPy • Matplotlib • Seaborn • Plotly • GitHub . . [
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Abhisek Sahu on Instagram: "End To End Data Analytics Project for Portfolio using SQL, Python, Power BI, Project Report, GitHub | Company-Level Data Analyst Project 📊 Build a Real-World Data Analyst Project for Resume with Python, SQL, and Power BI on a Retail Customer Behavior and Shopping Trends dataset. This isn’t just another beginner project, it’s a complete, company-level analytics workflow exactly like what data analysts do in real organizations. From loading and cleaning raw data in Pyt
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Sai Tarun | AI for Students on Instagram: "Comment "HIRE" and I’ll DM you the GitHub links to all 5 projects! 👇 Recruiters don't care about your To-Do List app. 📉 In 2026, if you want a high-paying AI engineer role, your portfolio needs to show Enterprise Value. That means building things companies actually pay for—like RAG systems and SQL automations. I curated the top 5 open-source projects that cover the exact tech stack hiring managers are looking for: AI Search Engine: (Tech: RAG + Vector
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Sai Tarun | AI for Students on Instagram: "Comment "HIRE" and …
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Akash kumar | Freelance Web App Developer on Instagram: "Data Analytics Roadmap/Cheat Sheet (Beginner → Advance ) 1. Foundation (2–3 weeks) * Excel basics * Formulas, sorting, filtering * Basic statistics (mean, median, %) 2. SQL (3–4 weeks) * SELECT, WHERE, ORDER BY * GROUP BY, HAVING * JOINS (INNER, LEFT, RIGHT) * Practice on real datasets etc... 3. Python (4–6 weeks) * Python basics * Pandas & NumPy * Data cleaning * Exploratory Data Analysis (EDA) 4. Visualization (2–3 weeks) * Power BI or T
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