Python Projects - Data Analytics - Project – 15 (with Dashboard) | Q-Commerce Data Analysis | Python Coding for Data Science #python

📩 Download All 15 Projects Source Codes + Datasets : https://rzp.io/rzp/all15projects Download Raw Dataset - https://drive.google.com/file/d/1m4mMoSuri33CcrhxIggW8ip9v991gB3c/view?usp=sharing Download Cleaned Dataset - https://drive.google.com/file/d/1cSLgHqLUN5ohJsnm3p56J3RLcgXcsjmc/view?usp=sharing 👉Connect with me on LinkedIn - https://www.linkedin.com/in/rohit-grewal 👉Get - Python Data Analysis Self Study Notes & All Projects Source Codes (Rs.199 only) - https://rzp.io/l/dslnotes239 Download - Python Pandas Notes ( Rs.50 ) - http://bit.ly/3KxMpgA --------------------------------- Watch our videos in Hindi on new channel: https://www.youtube.com/@ITCoursesEasy --------------------------------- 👉Enroll in our Udemy courses : 1. Python Data Analytics 13 Projects - https://www.udemy.com/course/bigdata-analysis-python/?referralCode=F75B5F25D61BD4E5F161 2. Python For Data Science - https://www.udemy.com/course/python-for-data-science-real-time-exercises/?referralCode=9C91F0B8A3F0EB67FE67 3. Numpy For Data Science - https://www.udemy.com/course/python-numpy-exercises/?referralCode=FF9EDB87794FED46CBDF ------------------------------------ 👉Join Facebook Group - https://www.facebook.com/groups/datasciencelovers 👉Join WhatsApp Group - https://chat.whatsapp.com/JKBkj7Lc9Ba6ZpzVSP5N4O 👉Join LinkedIn Group - https://www.linkedin.com/groups/9247278 👉Follow on Instagram - https://www.instagram.com/data_science_lovers Contact Mail Id : [email protected] ---------------------------------------- Ever wondered how apps like Blinkit, Zepto, Swiggy Instamart, Dunzo, JioMart, BigBasket, Amazon Now actually work behind the scenes? - How do they decide delivery times? - Why do some platforms get better ratings? - Which cities bring the most revenue? - Do discounts really help business growth? 👉 In this video, you’ll discover the answers through a full end-to-end Data Analytics project using Python. This is Project-15 of my 100 Real-World Data Analytics Projects Playlist, where I build projects that go beyond theory and simulate real industry-level work. 🚀 What makes this project different? ✅ Understanding messy real-world data ✅ Cleaning missing values & outliers properly ✅ Performing Exploratory Data Analysis (EDA) ✅ Asking real business questions ✅ Creating powerful visualizations ✅ Building a full KPI Dashboard in Python ✅ Extracting meaningful business insights If you’re serious about becoming a Data Analyst or Data Scientist, this is exactly the kind of project you should be building. 📌 What you’ll learn in this video By the end of this project, you will understand: ✔ How to clean real-world datasets using Pandas ✔ How to handle missing values like a professional analyst ✔ How to detect and treat outliers correctly ✔ How to perform Exploratory Data Analysis (EDA) ✔ How to visualize data using Matplotlib & Seaborn ✔ How to convert charts into real business insights ✔ How to build a dashboard using only Python ✔ How to structure portfolio-ready projects ✔ How to think like a Data Analyst, not just a coder These are exactly the skills recruiters look for in Data Analyst & Data Science roles. 🧠 Who should watch this? This video is perfect for: 🎯 Beginners learning Data Analysis 🎯 Students building Data Science projects 🎯 Anyone preparing for Data Analyst interviews 🎯 Python learners who want real project experience 🎯 People building a strong GitHub / portfolio 🎯 Anyone doing Kaggle projects 🎯 Professionals transitioning into analytics If you’re watching this, you’re already ahead of 90% of learners. 🛠 Tools used: Python, Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, Plotly. 📌 Watch till the end to see the final dashboard and insights! If you find this project helpful: 👍 Like the video 📌 Subscribe for more Real Python Projects 💬 Comment "Project" if you want the dataset and notebook -------------------------------- You must check our other Data Analytics Projects : Project 14 - https://youtu.be/TLIotspGcng Project 13 - HR Data Analytics - https://youtu.be/fykrwQD3HR4 Project 12 - AI Market Financial Data Analysis - https://youtu.be/WmJYHz_qn5s Project 11 - Airlines' Flights Data Analysis - https://youtu.be/gu3Ot78j_Gc Project 10 - Spotify-YouTube Data Analysis - https://youtu.be/xqtbBosGMl0 Project 9 - https://youtu.be/dQwnyCEZ-UU Project 8 - https://youtu.be/b7Kd0fLwgO4 Project 7 - https://youtu.be/AO5uhxa1R84 Project 6 - https://youtu.be/e1zKFSrKeLs Project 5 - https://youtu.be/q-Omt6LgRLc Project 4 - https://youtu.be/89eYAAPyRfo Project 3 - https://youtu.be/GyUbo45mVSE Project 2 - https://www.youtube.com/watch?v=fhiUl7f5DnI Project 1 - https://youtu.be/4hYOkHijtNw ut11amfri #python #dataanalytics #datascience #project