30+ Top Data Analytics Projects in 2025 [With Source Codes] Last Updated : 23 Jul, 2025 Comments Improve Suggest changes Like Article Like Report Are you an aspiring data analyst? Dive into 40+ FREE Data Analytics Projects packed with the hottest 2024 tech. Data Analytics Projects for beginners, final-year students, and experienced professionals to Master essential data analytical skills. These top data analytics projects serve as a simple yet powerful gateway for beginners. Learn with free source code, mastering the art of data analytics. Make informed choices, reduce costs, and innovate for business success.Building these data analytics projects helps you incorporate your theoretical knowledge with practical applications. These are the best data analytics projects for resumes, as they focus on real-world problems.Big Data Analytics Projects with Source CodesWe have shortlisted some of the big data analytics Projects and categorized them into 3 categories. You can choose a single category to build projects or multiple categories to diversify your knowledge of data analytics.We have provided multiple data analytics projects in each category. Combined there are over 30 projects to choose from.Let's look at these categories below, and the fun projects in them.Table of ContentWebScraping Data Analytics ProjectsData Analysis and Visualization ProjectsWebScraping Data Analytics ProjectsExplore these top web scraping projects with source code.Movies Review Scraping And AnalysisProduct Price Scraping and AnalysisNews Scraping and AnalysisReal-time Share Price scrapping and analysisData Analysis and Visualization ProjectsHere are the top Data Analysis and Visualization projects with source code.Zomato Data Analysis Using PythonIPL Data AnalysisAirbnb Data AnalysisGlobal Covid-19 Data Analysis and VisualizationsHousing Price Analysis & PredictionsMarket Basket AnalysisTitanic Dataset Analysis and Survival PredictionsIris Flower Dataset Analysis and PredictionsCustomer Churn AnalysisCar Price Prediction AnalysisIndian Election Data AnalysisHR Analytics to Track Employee PerformanceProduct Recommendation AnalysisCredit Card Approvals Analysis & PredictionsUber Trips Data AnalysisiPhone Sales AnalysisGoogle Search AnalysisTime Series Data Analytics ProjectsHere are the top 10 Data Analytics Projects with source code based on Time SeriesTime Series Analysis with Stock Price DataWeather Data AnalysisTime Series Analysis with Cryptocurrency DataClimate Change Data AnalysisAnomaly Detection in Time Series DataPredictive Modeling for Sales or Demand ForecastingAir Quality Data Analysis and Dynamic VisualizationsGold Price Analysis and Forcasting Over TimeFood Price ForecastingTime wise Unemployement Data AnalysisNow that you've decided on the project that you will be building, let's look at some platforms that will help you in building projects.Best Platforms to Build Data Analyst ProjectsHere are some best platforms for making data analysis projects:Microsoft Excel: Widely used for data manipulation and analysis, particularly suitable for beginners.Python (Pandas and NumPy): A versatile coding environment for advanced analytics and machine learning.RStudio: Ideal for statistical analysis, offering a comprehensive platform for data exploration.Tableau: Renowned for its data visualization capabilities, making complex datasets more accessible.Jupyter Notebooks: An interactive and collaborative environment, facilitating code execution and documentation.Google Colab: A cloud-based solution offering scalable computing resources for efficient data processing.Microsoft Azure: Another cloud-based option providing extensive computing power, especially beneficial for handling large datasets.Choose a platform based on your project's specific needs, your familiarity with the tools, and the desired level of collaboration and visualization.Also Explore:Data Analyst Salary In India 2024Data Scientist Salary in India 2024Business Analyst Salary in India 2024: Fresher & ExperiencedConclusionIn conclusion, our collection of top data analytics projects offers a hands-on journey for beginners and experienced individuals into the realm of data analytics. With free source code on project problems, you can learn to master data analytics and begin your journey to be a data analyst.These projects cover a variety of areas, from web scraping to predictive modeling, enabling you to understand and implement data analytics straightforwardly. Elevate your skills, dive into these projects, and unlock the potential of data analytics to drive your career forward. Comment More infoAdvertise with us Next Article Top 80+ Data Analyst Interview Questions and Answers K kartik Follow Improve Article Tags : Data Analysis Data Analytics Tutorials Similar Reads Data Analysis (Analytics) Tutorial Data Analytics is a process of examining, cleaning, transforming and interpreting data to discover useful information, draw conclusions and support decision-making. 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It provides support for large, multi-dimensional arrays and matrices along with a collection of mathematical functions to operate on arrays.At its core it introduces the ndarray (n-dimens 3 min read Matplotlib TutorialMatplotlib is an open-source visualization library for the Python programming language, widely used for creating static, animated and interactive plots. It provides an object-oriented API for embedding plots into applications using general-purpose GUI toolkits like Tkinter, Qt, GTK and wxPython. It 5 min read Python Seaborn TutorialSeaborn is a library mostly used for statistical plotting in Python. It is built on top of Matplotlib and provides beautiful default styles and color palettes to make statistical plots more attractive.In this tutorial, we will learn about Python Seaborn from basics to advance using a huge dataset of 15+ min read Power BI Tutorial | Learn Power BIPower BI is a Microsoft-powered business intelligence tool that helps transform raw data into interactive dashboards and actionable insights. It allow users to connect to various data sources, clean and shape data and visualize it using charts, graphs and reports all with minimal coding.It’s widely 5 min read Tableau TutorialTableau is a leading data visualization tool that help users to create interactive and insightful visualizations from data. With Tableau we can transform raw data into meaningful visuals without the need for coding. This tutorial will guide us through data visualization using Tableau like connecting 5 min read SQL for Data AnalysisSQL (Structured Query Language) is a powerful tool for data analysis, allowing users to efficiently query and manipulate data stored in relational databases. Whether you are working with sales, customer or financial data, SQL helps extract insights and perform complex operations like aggregation, fi 6 min read How to Perform Data Analysis in Excel: A Beginner’s GuideExcel is one of the most powerful tools for data analysis, allowing you to process, manipulate, and visualize large datasets efficiently. Whether you're analyzing sales figures, financial reports, or any other type of data, knowing how to perform data analysis in Excel can help you make informed dec 14 min read Time Series AnalysisTime Series Analysis & Visualization in PythonTime series data consists of sequential data points recorded over time which is used in industries like finance, pharmaceuticals, social media and research. Analyzing and visualizing this data helps us to find trends and seasonal patterns for forecasting and decision-making. In this article, we will 6 min read 8 Types of Plots for Time Series Analysis using PythonTime series data Time series data is a collection of observations chronologically arranged at regular time intervals. Each observation corresponds to a specific time point, and the data can be recorded at various frequencies (e.g., daily, monthly, yearly). This type of data is very essential in many 10 min read Handling Missing Values in Time Series DataHandling missing values in time series data in R is a crucial step in the data preprocessing phase. Time series data often contains gaps or missing observations due to various reasons such as sensor malfunctions, human errors, or other external factors. In R Programming Language dealing with missing 5 min read Understanding the Moving average (MA) in Time Series DataData is often collected with respect to time, whether for scientific or financial purposes. When data is collected in a chronological order, it is referred to as time series data. Analyzing time series data provides insights into how the data behaves over time, including underlying patterns that can 15 min read Augmented Dickey-Fuller (ADF)Augmented Dickey-Fuller (ADF) test is a statistical test in time series analysis used to determine whether a given time series is stationary. A stationary time series has constant mean and variance over time, which is a core assumption in many time series models, including ARIMA.Why Stationarity Mat 3 min read AutoCorrelationAutocorrelation is a fundamental concept in time series analysis. Autocorrelation is a statistical concept that assesses the degree of correlation between the values of variable at different time points. The article aims to discuss the fundamentals and working of Autocorrelation. Table of Content Wh 10 min read Data Analytics Projects30+ Top Data Analytics Projects in 2025 [With Source Codes]Are you an aspiring data analyst? Dive into 40+ FREE Data Analytics Projects packed with the hottest 2024 tech. Data Analytics Projects for beginners, final-year students, and experienced professionals to Master essential data analytical skills. These top data analytics projects serve as a simple ye 4 min read Top 80+ Data Analyst Interview Questions and AnswersData is information, often in the form of numbers, text, or multimedia, that is collected and stored for analysis. It can come from various sources, such as business transactions, social media, or scientific experiments. In the context of a data analyst, their role involves extracting meaningful ins 15+ min read Like