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Abhisek Sahu on Instagram: "10 Data Analysis End to End Projects you should check out. Save and Share before it disappear !! 🫠 Follow and comment 'projects' to get these links directs in your dm ❤️ 1. End to End Data Analytics Project | Banking Domain | Data Analysis using Python, MySQL and Power BI https://www.youtube.com/watch?v=qlYT2VIyaaY 2. Data Analyst Portfolio Project - Music Store Data Analysis Project using SQL https://www.youtube.com/watch?v=VFIuIjswMKM&list=PLdOKnrf8EcP2TfGV0VZueHNy
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Abhisek Sahu on Instagram: "10 Data Analysis End to End Projects you should check out. Save and Share before it disappear !! 🫠 Follow and comment 'projects' to get these links directs in your dm ❤️ 1. End to End Data Analytics Project | Banking Domain | Data Analysis using Python, MySQL and Power BI https://www.youtube.com/watch?v=qlYT2VIyaaY 2. Data Analyst Portfolio Project - Music Store Data Analysis Project using SQL https://www.youtube.com/watch?v=VFIuIjswMKM&list=PLdOKnrf8EcP2TfGV0VZueHNy
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Abhisek Sahu on Instagram: "🎯 Step-by-Step Guide to Create a Data Analyst Portfolio If you want to Read Entire details Follow & Comment 'link' to get the Link in your dm 🤝❤️ 1️⃣ Choose Your Tools & Skills Decide what tools you want to showcase: ⦁ Excel, SQL, Python (Pandas, NumPy) ⦁ Data visualization (Tableau, Power BI, Matplotlib, Seaborn) ⦁ Basic statistics and data cleaning 2️⃣ Plan Your Portfolio Structure Your portfolio should include: ⦁ Home Page – Brief intro about you ⦁ About Me – Ski
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Anjali Shukla on Instagram: "🎯 30-60-90 Day Analytics Micro Plan Days 1–30: Core Foundation Goal: Get hands-on with data. Learn Excel (Pivots, Lookups, Power Query) → sales & KPI dashboards. Learn SQL (Joins, Group By, CASE) → 30+ business queries. Learn Python (Pandas, EDA, visuals) → real dataset + insight summary. Light Statistics focused on interpretation. Outcome: Clean, analyze, and summarize data using Excel, SQL & Python. Days 31–60: BI & Business Analytics Goal: Think like a business a
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Anjali Shukla on Instagram: "🎯 30-60-90 Day Analytics Micro Plan Days 1–30: Core Foundation Goal: Get hands-on with data. Learn Excel (Pivots, Lookups, Power Query) → sales & KPI dashboards. Learn SQL (Joins, Group By, CASE) → 30+ business queries. Learn Python (Pandas, EDA, visuals) → real dataset + insight summary. Light Statistics focused on interpretation. Outcome: Clean, analyze, and summarize data using Excel, SQL & Python. Days 31–60: BI & Business Analytics Goal: Think like a business a
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