COMPLETE Data Analytics Portfolio Project in 6 EASY Steps | Python + SQL + Power BI
About this course
End To End Data Analytics Project for Portfolio using SQL, Python, Power BI, Project Report, GitHub | Company-Level Data Analyst Project ๐ 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 isnโt just an...
End To End Data Analytics Project for Portfolio using SQL, Python, Power BI, Project Report, GitHub | Company-Level Data Analyst Project ๐ 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 isnโt just another beginner project, itโs 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, youโll learn how real data projects move from messy data to executive presentations. ๐ฏ Whether youโre applying for Data Analyst jobs or building your portfolio, this project has everything: โ Define a real business problem statement from a retail company use case โ Load, clean, and transform data using Python (pandas) โ Simulate business transactions and run advanced queries using SQL โ Visualize insights through a beautiful Power BI dashboard โ Create a project report for documentation (mandatory in real teams) โ Build a presentation deck using Gamma AI โ Publish everything on GitHub to make your portfolio stand out ๐ Timestamps: 00:00 โ Introduction & Project Overview 02:25 โ Business Problem Statement 03:46 โ Dataset Overview in Excel 06:45 โ Data Loading & Exploratory Data Analysis (Python) 25:15 โ Business Analysis using SQL 49:00 โ Dashboard Creation in Power BI 1:14:22 โ Creating the Project Report 1:15:49 โ Building the Presentation Deck 1:17:48 โ Uploading Project to GitHub 1:21:2 โ Posting Project on LinkedIn 1:22:34 โ Final Thoughts ๐ง Why This Project? Because this is exactly how real companies work. Youโll 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. ๐ฅ If youโre looking for: โข End-to-End Data Analytics Project for Portfolio โข Real-World Python SQL Power BI Project โข Data Analyst Portfolio Project Ideas โข Data Analytics Projects with Business Problem Statements โข Beginner to Advanced Data Analytics Project This video is for you. ๐ฅ Project Files & Resources: ๐พ GitHub Repo (with all code): https://github.com/amlanmohanty1/customer-trends-data-analysis-SQL-Python-PowerBI ๐ Dataset: https://github.com/amlanmohanty1/customer-trends-data-analysis-SQL-Python-PowerBI/blob/main/customer_shopping_behavior.csv ๐จ Also watch this: ๐ฅ Top Mistakes Data Analysts Make (And How to Avoid Them) โ https://www.youtube.com/watch?v=obj8U-9GEdU&list=PLAx-M6Di0SisFJ1rv5M_FRHUlGA5rtUf_&index=4 or ๐ Watch the full Data Analyst Career Playlist โ https://www.youtube.com/playlist?list=PLAx-M6Di0SisFJ1rv5M_FRHUlGA5rtUf_ ๐ค About Me Iโm 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. ๐ฉ Connect with Me: Instagram: https://www.instagram.com/datacareerschool/ LinkedIn: https://www.linkedin.com/in/amlanmohanty1/ ๐Drop a comment and tell me โ what other projects do you want to see? Or if youโre stuck, Iโll help you out. ๐ Subscribe to Amlan Mohanty for more projects, SQL tutorials, job strategies, interview prep, and more: https://www.youtube.com/@UCtXZNI2L3VEwNoKKgFu82Kg #dataanalyst #dataanalytics
What learners say
AI summaryLearners overwhelmingly describe this as a clear, well-structured end-to-end data analytics project that finally shows how Python, SQL, and Power BI fit together in a real workflow, and many report completing it and using it in their portfolios or job searches. A few note gaps in the business-question framing, the SQL-to-Power BI transition, and video/code legibility.
What learners praise
- Clear, concise explanations without padding
- Shows how to tie Python, SQL, and Power BI together end-to-end
- Practical, real-world project from scratch to dashboard
- Explains the 'why' behind queries, not just the code
Common caveats
- Business-question framing not taught; questions are pre-defined
- SQL-to-Power BI transition felt disconnected or redundant
- Video quality makes code hard to read at times
- Setup/prerequisites (downloads, installs, port address) not clearly explained upfront
AI-generated from 100 viewer comments on YouTube โ it summarizes outside comments and is not a CourseShelf review.
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