इस सेक्शन में हम आपके लिए लाए हैं Real-Time Data Analysis Projects जो Python, Power BI, SQL जैसे tools से बनाए गए हैं। ये प्रोजेक्ट्स beginners और freshers दोनों के लिए बनाए गए हैं — ताकि आप सीखें EDA, Data Cleaning, Visualization, और Business Insights निकालना। Ideal for resume, interviews, और hands-on skill building.
हर प्रोजेक्ट के साथ मिलेगा 📁 Dataset, 🎥 वीडियो walkthrough, और ✅ Resume-Ready Insights.
Perform Exploratory Data Analysis using Python on Walmart’s real sales dataset. Identify trends, seasonality, and top-performing stores.
Tools: Python (Pandas, Seaborn), Matplotlib
Use Machine Learning (Linear Regression) to predict housing prices based on features like area, location, and number of rooms.
Tools: Python (Sklearn, Pandas, Numpy)
Build an interactive dashboard to identify why customers are leaving. Use Power BI to track churn KPIs and customer lifecycle.
Tools: Power BI, DAX
Analyze pizza orders using SQL queries like GROUP BY, JOINS, and CTEs to find top-selling pizzas, peak times, and monthly trends.
Tools: SQL (MySQL/PostgreSQL)
Use historical data and moving averages to forecast sales for upcoming quarters and visualize in a Power BI dashboard.
Tools: Excel, Power BI
In this real-life data analytics project for beginners, we used Python and Pandas to explore Walmart’s sales data. Through EDA and visualizations, we discovered how city, branch, payment type, and customer gender influence gross income and ratings. Perfect for your resume or as a portfolio project for data analyst interviews.
This Power BI beginner project showcases how to transform raw pizza sales data into actionable insights using dynamic dashboards. It includes Top 5 & Bottom 5 pizza performance, time-based sales analysis, and interactive visuals—ideal for portfolio or resume.
इस entry-level Python data analytics project में हमने दो Excel files को Python में combine किया, data cleaning की, फिर Pandas और Seaborn का उपयोग करके insightful analysis किया। यह project खासतौर पर Data Analyst Resume या Portfolio के लिए बनाया गया है।
pd.read_excel()merge() for full data viewmatplotlib & seaborn
🧠 What You Learn:
🔹 Excel file merging in Python
🔹 Data cleaning & transformation
🔹 Real-world business logic with groupby and filtering
🔹 Resume-worthy data visualization & storytelling
This Power BI customer churn project walks through the full journey from data import to dynamic dashboards. We analyzed key metrics like customer tenure, monthly charges, churn rate, demographics, and created a compelling report for business insights. Perfect for data analyst and BI developer portfolios.
📊 Key Insights Derived:
🔹 Senior citizens and customers with fiber optic internet have a higher churn rate
🔹 Month-to-month contracts increase churn risk significantly
🔹 Customers using online security features are less likely to churn
🔹 Clear KPIs help management take faster retention decisions
इस SQL प्रोजेक्ट में हमने एक Pizza Sales Dataset का उपयोग करते हुए रियल-लाइफ डेटा एनालिसिस किया है। इस एक घंटे के End-to-End प्रैक्टिकल प्रोजेक्ट में आपने सीखा: डेटा क्लीनिंग, JOINs, Aggregation, Filtering, CTEs, Window Functions और बहुत कुछ।
📊 Project Highlights:
🔹 Top 5 & Bottom 5 Pizzas by Revenue
🔹 Month-wise Sales Trend Analysis
🔹 Total Orders, Average Quantity, Revenue per Pizza Type
🔹 Category-wise Revenue Distribution for Stakeholder Reports
इस शुरुआती स्तर के Python प्रोजेक्ट में हमने घर की कीमत का पूर्वानुमान (prediction) लगाने के लिए एक रियल dataset पर Exploratory Data Analysis (EDA), Linear Regression, और Visualization का उपयोग किया है। यह प्रोजेक्ट उन छात्रों के लिए परफेक्ट है जो डेटा साइंस और मशीन लर्निंग में अपना करियर शुरू करना चाहते हैं।
📊 प्रमुख विशेषताएं:
🔹 Excel file से डेटा लोड और प्रोसेसिंग
🔹 Price पर सबसे ज्यादा प्रभाव डालने वाले features की पहचान
🔹 Model training और Testing accuracy
🔹 Python प्रैक्टिकल के साथ resume-ready प्रोजेक्ट
Vista Academy’s Master Program in Data Analytics equips you with advanced skills in data analysis, machine learning, and visualization. With practical experience in tools like Python, SQL, Tableau, and Power BI, this program prepares you for high-demand roles in data science and analytics.
Address: Vista Academy, Dehradun, Uttarakhand
Start with a simple dataset (like sales or customer data). Use Excel or Python for data cleaning, analyze trends using charts, and summarize your findings in a report or dashboard.
You can download datasets from Kaggle, data.gov.in, or use the ones we provide in each project above.
Projects like Walmart EDA, Sales Forecasting, and Churn Prediction stand out. They show business impact, use real tools, and are end-to-end.
Focus on Excel, Power BI, SQL (Joins, Aggregates), and basic Python (Pandas, Matplotlib). These cover 90% of job-ready roles.
Absolutely! Mention tools used, problem solved, and outcomes (like improved sales forecast accuracy or insights). Use GitHub or Google Drive links to show code/dashboards.