Data Analytics Final Year Project Source Code Download
Download Data Analytics final year project source code with frontend, backend, and database included. Easy to set up, fully functional, and ideal for students looking for PHP projects with source code in topics like ERP, Real Estate, Vehicle Rental, and Expense Tracker.
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Olympic Data Analytics Project with Source Code — Source Code
<p>Olympic Data Analytics Project is a Python-based <strong>final year project</strong> developed for analyzing 120 years of Olympic history from 1896 to 2016. This <strong>major project</strong> performs data loading, exploratory data analysis, country-wise medal comparison, gender participation analysis, sport-wise age analysis, medal trend visualization, athlete participation growth analysis, machine learning-based medal prediction, and future medal forecasting. The project includes Python scripts, Jupyter Notebook workflow, visualization outputs, machine learning evaluation, confusion matrix, ROC curve, and forecast graph. This <strong>data analytics project source code</strong> is suitable for students who need a <strong>final year project</strong>, <strong>major project</strong>, <strong>minor project</strong>, <strong>source code</strong>, and <strong>project report</strong> based on Python, data analytics, visualization, and machine learning.</p>
COVID-19 Data Analysis Final Year Project with Source Code — Source Code
<p>COVID-19 Data Analysis Project is a Python-based <strong>final year project</strong> developed for analyzing real-world COVID-19 case data using exploratory data analysis, visualization, and machine learning. This <strong>major project</strong> loads regional time-series data, processes province/state-level observations, aggregates records into country-day and country-level snapshots, prints statistical summaries, generates 12 chart images, and trains regression models to predict reported deaths using confirmed cases, latitude, longitude, and WHO region. The project can be executed as a standalone Python script or through a Jupyter Notebook where graphs appear inline. This <strong>COVID-19 data analysis source code</strong> is suitable for students who need a <strong>final year project</strong>, <strong>major project</strong>, <strong>minor project</strong>, <strong>source code</strong>, and <strong>project report</strong> based on Python, data analytics, EDA, visualization, and machine learning.</p>
Myntra E-Commerce Sales Data Analytics Final Year Project with Source Code — Source Code
<p>Myntra E-Commerce Sales Data Analytics is a Python-based <strong>final year project</strong> developed for analyzing synthetic Myntra-style order data for the financial year 2025–26. This <strong>major project</strong> loads e-commerce sales data from CSV, cleans and prepares order records, performs exploratory data analysis, generates 12 comparative visualization charts, and trains machine learning models for revenue prediction and product category classification. The project analyzes order patterns, monthly revenue trends, revenue by category, top brands, gender distribution, payment modes, state-wise revenue, customer age distribution, discount trends, correlation patterns, product revenue spread, product-type comparison, and MRP vs revenue relationship. It also uses Random Forest Regressor to predict order-line revenue and Random Forest Classifier to predict product category. This <strong>Myntra sales data analytics source code</strong> is suitable for students who need a <strong>final year project</strong>, <strong>major project</strong>, <strong>minor project</strong>, <strong>source code</strong>, and <strong>project report</strong> based on Python, data analytics, EDA, visualization, and machine learning.</p>
BMW Car Market Insights Data Analysis Final Year Project with Source Code — Source Code
<p>BMW Car Market Insights is a Python-based <strong>final year project</strong> developed for analyzing used BMW car market data and predicting vehicle prices using machine learning. This <strong>major project</strong> loads BMW vehicle data from a CSV file, cleans categorical text values, performs exploratory data analysis, generates statistical summaries, creates 13 visualization charts, trains a Random Forest Regressor, evaluates the model using R², RMSE, MAE, and five-fold cross-validation, and displays sample price predictions. The project analyzes model-wise prices, year-wise price variation, transmission type, fuel type, mileage, engine size, MPG, tax, model popularity, feature importance, and actual-versus-predicted prices. This <strong>BMW car market insights source code</strong> is suitable for students who need a <strong>final year project</strong>, <strong>major project</strong>, <strong>minor project</strong>, <strong>source code</strong>, and <strong>project report</strong> based on Python, data analytics, visualization, and machine learning.</p>
Super Store Sales Analytics Final Year Project with Source Code — Source Code
<p>Super Store Sales Analytics is a Python-based <strong>final year project</strong> developed for analyzing retail sales data and predicting sales using machine learning. This <strong>major project</strong> uses the Kaggle Superstore Sales dataset to perform exploratory data analysis, statistical summary, missing-value checking, correlation analysis, comparison visualizations, and sales prediction. The project generates multiple graphs such as sales by region, sales by category, monthly sales trend, sales vs profit, segment comparison, top sub-categories, correlation heatmap, and actual vs predicted sales graph. It uses Random Forest and Linear Regression models for sales prediction and evaluates model performance using R², RMSE, and MAE. This <strong>Super Store Sales Analytics source code</strong> is suitable for students who need a <strong>final year project</strong>, <strong>major project</strong>, <strong>minor project</strong>, <strong>source code</strong>, and <strong>project report</strong> based on Python, data analytics, retail analytics, visualization, and machine learning</p>
Online Food Ordering Data Analytics Final Year Project with Source Code — Source Code
<p>Online Food Ordering Data Analysis Project is a Python-based <strong>final year project</strong> developed for analyzing customer behavior in the online food ordering domain. This <strong>major project</strong> uses a Kaggle online food dataset containing customer demographic, income, education, family, location, feedback, and order-output details. The project performs exploratory data analysis, checks dataset shape, summary statistics, missing values, duplicates, and builds multiple visualizations to understand customer ordering patterns. It also trains machine learning models such as Random Forest and Logistic Regression to predict whether a customer will order food online again. This <strong>online food ordering data analysis source code</strong> is suitable for students who need a <strong>final year project</strong>, <strong>major project</strong>, <strong>minor project</strong>, <strong>source code</strong>, and <strong>project report</strong> based on Python, EDA, visualization, and machine learning.</p>
Eye Care Data Analysis Final Year Project with Source Code — Source Code
<p>Eye Care Data Analysis Project is a Python-based <strong>final year project</strong> developed for analyzing ophthalmology and ocular disease data using the ODIR-5K Ocular Disease Recognition dataset. This <strong>major project</strong> performs exploratory data analysis, patient demographic analysis, disease distribution analysis, gender-wise disease comparison, age-wise disease comparison, disease co-occurrence analysis, and machine learning based primary disease classification. The project supports Kaggle dataset download, manual Excel file loading, and sample data generation when the real dataset is not available. It compares machine learning models such as Random Forest, Gradient Boosting, and Logistic Regression using accuracy, F1-score, precision, and recall. This <strong>Eye Care Data Analysis source code</strong> is suitable for students who need a <strong>final year project</strong>, <strong>major project</strong>, <strong>minor project</strong>, <strong>source code</strong>, and <strong>project report</strong> based on Python, healthcare analytics, ophthalmology data analysis, and machine learning</p>
Online Quiz School Data Analytics Final Year Project with Source Code — Source Code
<p>Online Quiz School Data Analytics Project is a Python-based <strong>final year project</strong> developed for analyzing student exam performance using exploratory data analysis, visualization, and machine learning. This <strong>major project</strong> uses the Students Performance in Exams dataset from Kaggle and analyzes student scores based on gender, race/ethnicity, parental education level, lunch type, test preparation course, math score, reading score, and writing score. The project performs EDA, checks dataset shape, data types, missing values, statistical summaries, and correlations. It generates six report-ready visualizations and trains machine learning models such as Random Forest and Logistic Regression to predict student Pass/Fail status. This <strong>Online Quiz School data analytics source code</strong> is suitable for students who need a <strong>final year project</strong>, <strong>major project</strong>, <strong>minor project</strong>, <strong>source code</strong>, and <strong>project report</strong> based on Python, education analytics, exam performance analysis, and machine learning.</p>
Olympic Games Data Analysis Final Year Project with Source Code — Source Code
<p>Olympic Games Data Analysis is a Python Flask based <strong>final year project</strong> developed for exploring Olympic medal distributions, participation trends, and athlete performance using CSV/Excel datasets. This <strong>major project</strong> includes user-side and admin-side modules. Users can sign up, log in, manage profile, upload profile image, view datasets, preview datasets, select datasets for analysis, perform medal analysis, participation analysis, athlete search, age distribution analysis, generate bar charts, line charts, pie charts, save visualizations as PNG, create reports, add analysis results to reports, and download PDF reports. Admin users can manage project branding, datasets, users, analysis configuration, report templates, audit logs, and system settings. This <strong>Olympic Games Data Analysis source code</strong> is suitable for students who need a <strong>final year project</strong>, <strong>major project</strong>, <strong>minor project</strong>, <strong>source code</strong>, and <strong>project report</strong> based on Python, Flask, Pandas, Matplotlib, data analytics, and visualization.</p>
Eye Care Data Analytics Final Year Project with Source Code — Source Code
<p>Eye Care Data Analytics is a Flask-based <strong>final year project</strong> developed for eye health screening, risk analytics, and eye care product management. This <strong>major project</strong> includes user-side and admin-side modules. Users can sign up, log in, reset password through Gmail, manage profile, complete eye screening questionnaires, view screening history, edit/delete same-day screenings, download reports in PDF/CSV format, browse brands and products, filter and sort products, add products to cart, checkout, view order history, submit feedback, raise support tickets, and view admin replies. Admins can manage users, brands, categories, products, stock history, screening records, risk rules, analytics, orders, refunds, feedback, support tickets, system settings, and audit logs. This <strong>Eye Care Data Analytics source code</strong> is suitable for students who need a <strong>final year project</strong>, <strong>major project</strong>, <strong>minor project</strong>, <strong>source code</strong>, and <strong>project report</strong> based on Python Flask, healthcare analytics, eye screening, and product management.</p>
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