Data Analysis Projects using Python

Oct 15, 2025 • 5 min read

Data Analysis means understanding the story behind the numbers. It is a systematic process of examining, cleaning, transforming, and interpreting raw data to uncover the story behind the data points. If you are learning Data Analysis, one of the best ways to learn is by implementing the theoretical concepts practically on real-time data. So, in this article, I’ll take you through a list of Data Analysis projects solved and explained using Python.

Data Analysis Projects using Python

Below is a list of Data Analysis projects solved and explained using Python. All the projects mentioned below are based on real-time business problems. These projects will help you learn and implement all theoretical and real-time business concepts on datasets from various domains.

  1. Stock Market Portfolio Optimization
  2. YouTube Data Collection and Analysis
  3. Elections Ad Spending Analysis
  4. Metro Operations Optimization
  5. Electric Vehicles Market Size Analysis
  6. T20 World Cup Match Analysis
  7. IPL 2024 RCB vs DC Analysis
  8. Website Performance Analysis
  9. Food Delivery Cost & Profitability Analysis
  10. Statistical Modelling
  11. Hypothesis Testing
  12. Delhi Metro Network Analysis
  13. Quantitative Analysis of Stock Market
  14. Health Monitoring & Analysis
  15. Stock Market Anomaly Detection
  16. Analytics Dashboard
  17. Cohort Analysis
  18. EDA to Select Features
  19. App Reviews Sentiment Analysis
  20. Stock Market Comparison Analysis
  21. Ads CTR Analysis and Forecasting
  22. Air Quality Index Analysis
  23. Fitness Watch Data Analysis
  24. RFM Analysis
  25. Market Basket Analysis
  26. Stock Market Performance Analysis
  27. Customer Acquisition Cost Analysis
  28. Consumer Behaviour Analysis
  29. B2B Courier Charges Accuracy Analysis
  30. Text Analysis
  31. User Engagement Analysis
  32. Customer Lifetime Value Analysis
  33. Supply Chain Analysis
  34. Demand & Supply Analysis
  35. Recession Analysis
  36. Store Sales & Profit Analysis
  37. Exploratory Data Analysis
  38. Accelerometer Data Analysis
  39. User Funnel Analysis
  40. Algorithmic Trading
  41. A/b Testing
  42. T20 World Cup 2022 Analysis
  43. Twitter Timeline in the Stock Market Analysis
  44. Instagram Reach Analysis
  45. Screen Time Analysis
  46. Stock Market Analysis
  47. Smartwatch Data Analysis
  48. Virat Kohli Performance Analysis
  49. Google Search Analysis
  50. Survey Analysis
  51. Social Progress Index Analysis
  52. Career Aspirations Survey Analysis
  53. iPhone Sales Analysis
  54. Diamond Price Analysis
  55. Covid-19 Impacts Analysis
  56. IPL 2022 Analysis
  57. Ukraine Vs Russia: Twitter Sentiment Analysis
  58. Waiter Tips Analysis and Prediction
  59. Flipkart Reviews Sentiment Analysis
  60. Time Series Analysis
  61. TikTok Reviews Sentiment Analysis
  62. Tinder Reviews Sentiment Analysis
  63. Uber Trips Analysis
  64. WhatsApp Chats Analysis
  65. Water Quality Analysis
  66. Squid Game Sentiment Analysis
  67. Twitter Sentiment Analysis
  68. Movie Rating Analysis for Beginners
  69. Worldwide Billionaires Analysis
  70. Unemployment Analysis
  71. WhatsApp Chats Sentiment Analysis
  72. Covid-19 Vaccine Analysis
  73. Financial Budget Analysis
  74. Best Streaming Service Analysis
  75. Data Science Project on Birth Rate Analysis
  76. Data Science Project on Time Series
  77. Data Science Project on Area and Population
  78. Amazon Product Reviews Sentiment Analysis
  79. Hotel Reviews Sentiment Analysis
  80. Google Play Store Sentiment Analysis
  81. Instagram Reach Analysis
  82. Amazon Alexa Reviews Sentiment Analysis
  83. Real-time Sentiment Analysis
  84. Customer Personality Analysis
  85. Netflix Data Analysis
  86. Covid-19 Vaccine Sentiment Analysis
  87. Cohort Analysis

The above list of projects will keep updating with more projects. I hope this will help you in your journey to becoming a Data Analyst.

Summary

So Data Analysis is a systematic process of examining, cleaning, transforming, and interpreting raw data to uncover the story behind the data points. If you are learning Data Analysis, one of the best ways to learn is by implementing the theoretical concepts practically on real-time data. I hope you liked this article on a list of Data Analysis projects using Python.