🛒 Maine 10 Lakh Records Analyse Kiye Python Se | E-Commerce Data Analytics Project | Resume Ready
🔥 Kya tumhara resume abhi bhi BLANK hai? Toh ye video tumhare liye hai!
Aaj hum banayenge ek end-to-end E-Commerce Data Analytics Project using Python — 10 LAKH records, 57 columns, 10 professional visualizations, aur ek Executive Dashboard jo recruiters ka dhyan akarshit karega!
📌 Is video mein seekhoge:
✅ Library Imports & Global Styling (Pandas, NumPy, Plotly, Seaborn)
✅ Large Dataset Load karna — 1 Million+ Records
✅ EDA — Exploratory Data Analysis like a Pro
✅ Missing Value Handling — Smart Strategies (Median, Mode, Custom Labels)
✅ Outlier Detection & Capping — IQR / Winsorization Method
✅ Data Type Conversion — Datetime & Numeric
✅ Feature Engineering — 8 New Smart Columns (CLV, Profit Margin, Hour Bins)
✅ 6 Business KPIs — Executive Dashboard (Text)
✅ 10 Plotly & Seaborn Visualizations — Line, Bar, Heatmap, Box, Treemap, Scatter, Donut
✅ 4-in-1 Interactive Executive Dashboard
✅ Final Business Insights & Recommendations
💼 Ye project directly resume aur LinkedIn portfolio mein daalo!
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🤝 Connect With Me:
📌 LinkedIn → / anushka-purwar-58b23a19b
📌 DataCliq → / datacliq
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🚀 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁 𝗛𝗶𝗿𝗶𝗻𝗴 𝟮𝟬𝟮𝟲 𝗶𝘀 𝗟𝗜𝗩𝗘 — 𝗠𝗲𝗻𝘁𝗼𝘃𝗮𝘁𝗲 𝗕𝗮𝘁𝗰𝗵 𝟯.𝟬 𝗯𝘆 𝗗𝗮𝘁𝗮𝗖𝗹𝗶𝗾!
A 1-month Paid Internship + Mentorship program designed to help freshers learn Data Analysis from scratch and get job-ready fast.
𝗔𝗽𝗽𝗹𝘆 𝗡𝗼𝘄: https://datacliq.in/
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📁 Resources:
• Dataset: https://www.kaggle.com/datasets/akram...
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💬 Comment below: "Project Complete! ✅" agar tumne poora project kar liya!
🔔 Subscribe karo aur bell icon dabaao — next video mein isi dataset pe Machine Learning model banayenge (Return Prediction)!
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