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 Python, to performing data cleaning, exploratory data analysis (EDA), analyzing and solving business problems using SQL, to building an interactive Power BI dashboard, you’ll learn how real data projects move from messy data to executive presentations.

🎯 Whether you’re applying for Data Analyst jobs or building your portfolio, this project has everything:

✅ Define a real business problem statement from a retail company use case
✅ Load, clean, and transform data using Python (pandas)
✅ Simulate business transactions and run advanced queries using SQL
✅ Visualize insights through a beautiful Power BI dashboard
✅ Create a project report for documentation (mandatory in real teams)
✅ Build a presentation deck using Gamma AI
✅ Publish everything on GitHub to make your portfolio stand out

📌 Timestamps:
00:00 – Introduction & Project Overview
02:25 – Business Problem Statement
03:46 – Dataset Overview in Excel
06:45 – Data Loading & Exploratory Data Analysis (Python)
25:15 – Business Analysis using SQL
49:00 – Dashboard Creation in Power BI
1:14:22 – Creating the Project Report
1:15:49 – Building the Presentation Deck
1:17:48 – Uploading Project to GitHub
1:21:2 – Posting Project on LinkedIn
1:22:34 – Final Thoughts

🧠 Why This Project?
Because this is exactly how real companies work.
You’ll follow a corporate-style process, from data to decisions, learning not just technical tools but also how to think like a data analyst inside a business environment.

🔥 If you’re looking for:
• End-to-End Data Analytics Project for Portfolio
• Real-World Python SQL Power BI Project
• Data Analyst Portfolio Project Ideas
• Data Analytics Projects with Business Problem Statements
• Beginner to Advanced Data Analytics Project

This video is for you.

📥 Project Files & Resources:
💾 GitHub Repo (with all code): https://github.com/amlanmohanty1/customer-trends-data-analysis-SQL-Python-PowerBI
📈 Dataset: https://github.com/amlanmohanty1/customer-trends-data-analysis-SQL-Python-PowerBI/blob/main/customer_shopping_behavior.csv

🚨  Also watch this:

🎥 Top Mistakes Data Analysts Make (And How to Avoid Them) →  
https://www.youtube.com/watch?v=obj8U-9GEdU&list=PLAx-M6Di0SisFJ1rv5M_FRHUlGA5rtUf_&index=4
or
📂 Watch the full Data Analyst Career Playlist → https://www.youtube.com/playlist?list=PLAx-M6Di0SisFJ1rv5M_FRHUlGA5rtUf_

👤 About Me
I’m Amlan Mohanty, a Data Science professional and content creator. I  help students and job seekers learn data analytics, grow in their careers, and land high-paying roles in Data Science & Data Analytics.

📩 Connect with Me:
Instagram: https://www.instagram.com/datacareerschool/
LinkedIn: https://www.linkedin.com/in/amlanmohanty1/

👇Drop a comment and tell me — what other projects do you want to see? Or if you’re stuck, I’ll help you out.

🔔 Subscribe to Amlan Mohanty for more projects, SQL tutorials, job strategies, interview prep, and more: 
https://www.youtube.com/@UCtXZNI2L3VEwNoKKgFu82Kg 

#dataanalyst #dataanalytics

YouTube

A comprehensive walkthrough of building an end-to-end data analytics portfolio project analyzing customer shopping behavior. Covers the complete workflow: loading and cleaning data with Python/Pandas, performing advanced SQL analysis on PostgreSQL, creating interactive Power BI dashboards, generating project documentation and presentations using AI tools, and publishing the work on GitHub. Demonstrates real-world corporate practices including handling missing values with category-specific imputation, customer segmentation, revenue analysis, and professional stakeholder communication.

COMPLETE Data Analytics Portfolio Project in 6 EASY Steps | Python + SQL + Power BI