{"id":18418804,"url":"https://github.com/yash-kavaiya/data-analytics-with-python-nptel","last_synced_at":"2025-08-17T11:06:14.237Z","repository":{"id":151630413,"uuid":"479262889","full_name":"Yash-Kavaiya/data-analytics-with-python-nptel","owner":"Yash-Kavaiya","description":"Repository for the NPTEL course 'Data Analytics with Python'. Includes code examples, notebooks, and exercises covering data manipulation, visualization, statistics, and machine learning with Python libraries like NumPy, Pandas, and Matplotlib.","archived":false,"fork":false,"pushed_at":"2025-03-31T09:02:21.000Z","size":143,"stargazers_count":11,"open_issues_count":0,"forks_count":3,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-31T10:21:59.925Z","etag":null,"topics":["matplotlib","numpy","pandas","python"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Yash-Kavaiya.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2022-04-08T05:56:49.000Z","updated_at":"2025-03-31T09:02:25.000Z","dependencies_parsed_at":"2024-05-01T18:22:53.660Z","dependency_job_id":"94e5e558-fede-47bf-875e-6b4b0e6b6e80","html_url":"https://github.com/Yash-Kavaiya/data-analytics-with-python-nptel","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Yash-Kavaiya%2Fdata-analytics-with-python-nptel","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Yash-Kavaiya%2Fdata-analytics-with-python-nptel/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Yash-Kavaiya%2Fdata-analytics-with-python-nptel/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Yash-Kavaiya%2Fdata-analytics-with-python-nptel/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Yash-Kavaiya","download_url":"https://codeload.github.com/Yash-Kavaiya/data-analytics-with-python-nptel/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247661691,"owners_count":20975101,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["matplotlib","numpy","pandas","python"],"created_at":"2024-11-06T04:14:40.929Z","updated_at":"2025-04-07T13:31:23.974Z","avatar_url":"https://github.com/Yash-Kavaiya.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 📊 Data Analytics with Python - NPTEL Course 🐍\n\n\u003cdiv align=\"center\"\u003e\n  \u003cimg src=\"https://github.com/Yash-Kavaiya/data-analytics-with-python-nptel/blob/main/mqdefault.jpg\" alt=\"Data Analytics with Python - NPTEL\" width=\"500px\"\u003e\n\n  ![Python](https://img.shields.io/badge/Python-3.7+-blue?style=for-the-badge\u0026logo=python\u0026logoColor=white)\n  ![NumPy](https://img.shields.io/badge/NumPy-1.20+-lightblue?style=for-the-badge\u0026logo=numpy\u0026logoColor=white)\n  ![Pandas](https://img.shields.io/badge/Pandas-1.3+-yellow?style=for-the-badge\u0026logo=pandas\u0026logoColor=white)\n  ![Matplotlib](https://img.shields.io/badge/Matplotlib-3.4+-orange?style=for-the-badge\u0026logo=matplotlib\u0026logoColor=white)\n\u003c/div\u003e\n\n\u003cdiv align=\"center\"\u003e\n  \u003cp\u003e\u003cb\u003e🎓 Course Review:\u003c/b\u003e \u003ca href=\"https://youtu.be/QLyti7a3wMw?si=V9ZGUUprNrLslesZ\"\u003e\u003cimg src=\"https://img.shields.io/badge/YouTube-Video-green\" alt=\"Course Review video\"\u003e\u003c/a\u003e\u003c/p\u003e\n\u003c/div\u003e\n\n## 📋 Course Overview\n\nThis repository contains materials for the NPTEL course \"Data Analytics with Python,\" including code examples, assignments, and resources for statistical analysis and machine learning.\n\n## 🗓️ Course Layout\n\n\u003ctable\u003e\n  \u003ctr\u003e\n    \u003cth width=\"100\"\u003eWeek\u003c/th\u003e\n    \u003cth\u003eTopics\u003c/th\u003e\n    \u003cth width=\"70\"\u003eStatus\u003c/th\u003e\n  \u003c/tr\u003e\n  \u003ctr\u003e\n    \u003ctd align=\"center\"\u003e📍 Week 1\u003c/td\u003e\n    \u003ctd\u003eIntroduction To Data Analytics And Python Fundamentals\u003c/td\u003e\n    \u003ctd align=\"center\"\u003e✅\u003c/td\u003e\n  \u003c/tr\u003e\n  \u003ctr\u003e\n    \u003ctd align=\"center\"\u003e📍 Week 2\u003c/td\u003e\n    \u003ctd\u003eIntroduction To Probability\u003c/td\u003e\n    \u003ctd align=\"center\"\u003e✅\u003c/td\u003e\n  \u003c/tr\u003e\n  \u003ctr\u003e\n    \u003ctd align=\"center\"\u003e📍 Week 3\u003c/td\u003e\n    \u003ctd\u003eSampling And Sampling Distributions\u003c/td\u003e\n    \u003ctd align=\"center\"\u003e✅\u003c/td\u003e\n  \u003c/tr\u003e\n  \u003ctr\u003e\n    \u003ctd align=\"center\"\u003e📍 Week 4\u003c/td\u003e\n    \u003ctd\u003eHypothesis Testing\u003c/td\u003e\n    \u003ctd align=\"center\"\u003e✅\u003c/td\u003e\n  \u003c/tr\u003e\n  \u003ctr\u003e\n    \u003ctd align=\"center\"\u003e📍 Week 5\u003c/td\u003e\n    \u003ctd\u003eTwo Sample Testing And Introduction To ANOVA\u003c/td\u003e\n    \u003ctd align=\"center\"\u003e✅\u003c/td\u003e\n  \u003c/tr\u003e\n  \u003ctr\u003e\n    \u003ctd align=\"center\"\u003e📍 Week 6\u003c/td\u003e\n    \u003ctd\u003eTwo-Way ANOVA And Linear Regression\u003c/td\u003e\n    \u003ctd align=\"center\"\u003e✅\u003c/td\u003e\n  \u003c/tr\u003e\n  \u003ctr\u003e\n    \u003ctd align=\"center\"\u003e📍 Week 7\u003c/td\u003e\n    \u003ctd\u003eLinear Regression And Multiple Regression\u003c/td\u003e\n    \u003ctd align=\"center\"\u003e✅\u003c/td\u003e\n  \u003c/tr\u003e\n  \u003ctr\u003e\n    \u003ctd align=\"center\"\u003e📍 Week 8\u003c/td\u003e\n    \u003ctd\u003eConcepts Of MLE And Logistic Regression\u003c/td\u003e\n    \u003ctd align=\"center\"\u003e✅\u003c/td\u003e\n  \u003c/tr\u003e\n  \u003ctr\u003e\n    \u003ctd align=\"center\"\u003e📍 Week 9\u003c/td\u003e\n    \u003ctd\u003eROC And Regression Analysis Model Building\u003c/td\u003e\n    \u003ctd align=\"center\"\u003e✅\u003c/td\u003e\n  \u003c/tr\u003e\n  \u003ctr\u003e\n    \u003ctd align=\"center\"\u003e📍 Week 10\u003c/td\u003e\n    \u003ctd\u003eC2 Test And Introduction To Cluster Analysis\u003c/td\u003e\n    \u003ctd align=\"center\"\u003e✅\u003c/td\u003e\n  \u003c/tr\u003e\n\u003c/table\u003e\n\n## 🎯 Learning Path\n\n```mermaid\ngraph LR\n    A[Python Fundamentals] --\u003e B[Probability]\n    B --\u003e C[Sampling]\n    C --\u003e D[Hypothesis Testing]\n    D --\u003e E[ANOVA]\n    E --\u003e F[Regression]\n    F --\u003e G[Logistic Regression]\n    G --\u003e H[Model Building]\n    H --\u003e I[Cluster Analysis]\n    \n    style A fill:#d1f0ff,stroke:#0077b6\n    style B fill:#d1f0ff,stroke:#0077b6\n    style C fill:#d1f0ff,stroke:#0077b6\n    style D fill:#ffe5d9,stroke:#f4a261\n    style E fill:#ffe5d9,stroke:#f4a261\n    style F fill:#e9ecef,stroke:#6c757d\n    style G fill:#e9ecef,stroke:#6c757d\n    style H fill:#e9ecef,stroke:#6c757d\n    style I fill:#d8f3dc,stroke:#2d6a4f\n```\n\n## 📝 Assignment Solutions (Previous Course)\n\n\u003ctable\u003e\n  \u003ctr\u003e\n    \u003cth width=\"150\"\u003eWeek\u003c/th\u003e\n    \u003cth\u003eSolution Link\u003c/th\u003e\n    \u003cth width=\"100\"\u003eStatus\u003c/th\u003e\n  \u003c/tr\u003e\n  \u003ctr\u003e\n    \u003ctd\u003e📝 Week 1\u003c/td\u003e\n    \u003ctd\u003e\u003ca href=\"https://youtu.be/lEF4bSJwAZE\"\u003e\u003cimg src=\"https://img.shields.io/badge/YouTube-Video-green\" alt=\"YouTube\"\u003e\u003c/a\u003e\u003c/td\u003e\n    \u003ctd\u003e✅ Available\u003c/td\u003e\n  \u003c/tr\u003e\n  \u003ctr\u003e\n    \u003ctd\u003e📝 Week 2\u003c/td\u003e\n    \u003ctd\u003e\u003ca href=\"https://youtu.be/3rTdNwQSuaI\"\u003e\u003cimg src=\"https://img.shields.io/badge/YouTube-Video-green\" alt=\"YouTube\"\u003e\u003c/a\u003e\u003c/td\u003e\n    \u003ctd\u003e✅ Available\u003c/td\u003e\n  \u003c/tr\u003e\n  \u003ctr\u003e\n    \u003ctd\u003e📝 Week 3\u003c/td\u003e\n    \u003ctd\u003e\u003ca href=\"https://youtu.be/8uUVuMNF8gI\"\u003e\u003cimg src=\"https://img.shields.io/badge/YouTube-Video-green\" alt=\"YouTube\"\u003e\u003c/a\u003e\u003c/td\u003e\n    \u003ctd\u003e✅ Available\u003c/td\u003e\n  \u003c/tr\u003e\n  \u003ctr\u003e\n    \u003ctd\u003e📝 Week 4\u003c/td\u003e\n    \u003ctd\u003e\u003ca href=\"https://youtu.be/B9SSEX5w2Vs\"\u003e\u003cimg src=\"https://img.shields.io/badge/YouTube-Video-green\" alt=\"YouTube\"\u003e\u003c/a\u003e\u003c/td\u003e\n    \u003ctd\u003e✅ Available\u003c/td\u003e\n  \u003c/tr\u003e\n  \u003ctr\u003e\n    \u003ctd\u003e📝 Week 5\u003c/td\u003e\n    \u003ctd\u003e\u003ca href=\"https://youtu.be/eTv6eHAdUNA\"\u003e\u003cimg src=\"https://img.shields.io/badge/YouTube-Video-green\" alt=\"YouTube\"\u003e\u003c/a\u003e\u003c/td\u003e\n    \u003ctd\u003e✅ Available\u003c/td\u003e\n  \u003c/tr\u003e\n  \u003ctr\u003e\n    \u003ctd\u003e📝 Week 6\u003c/td\u003e\n    \u003ctd\u003e\u003ca href=\"https://youtu.be/_7mCv-ZOYlU\"\u003e\u003cimg src=\"https://img.shields.io/badge/YouTube-Video-green\" alt=\"YouTube\"\u003e\u003c/a\u003e\u003c/td\u003e\n    \u003ctd\u003e✅ Available\u003c/td\u003e\n  \u003c/tr\u003e\n  \u003ctr\u003e\n    \u003ctd\u003e📝 Week 7\u003c/td\u003e\n    \u003ctd\u003e\u003ca href=\"https://youtu.be/8RhI9Yjbp9c\"\u003e\u003cimg src=\"https://img.shields.io/badge/YouTube-Video-green\" alt=\"YouTube\"\u003e\u003c/a\u003e\u003c/td\u003e\n    \u003ctd\u003e✅ Available\u003c/td\u003e\n  \u003c/tr\u003e\n  \u003ctr\u003e\n    \u003ctd\u003e📝 Week 8\u003c/td\u003e\n    \u003ctd\u003eComing soon!\u003c/td\u003e\n    \u003ctd\u003e⏳ Pending\u003c/td\u003e\n  \u003c/tr\u003e\n  \u003ctr\u003e\n    \u003ctd\u003e📝 Week 9\u003c/td\u003e\n    \u003ctd\u003eComing soon!\u003c/td\u003e\n    \u003ctd\u003e⏳ Pending\u003c/td\u003e\n  \u003c/tr\u003e\n  \u003ctr\u003e\n    \u003ctd\u003e📝 Week 10\u003c/td\u003e\n    \u003ctd\u003e\u003ca href=\"https://youtu.be/3sSgR04FFfM\"\u003e\u003cimg src=\"https://img.shields.io/badge/YouTube-Video-green\" alt=\"YouTube\"\u003e\u003c/a\u003e\u003c/td\u003e\n    \u003ctd\u003e✅ Available\u003c/td\u003e\n  \u003c/tr\u003e\n  \u003ctr\u003e\n    \u003ctd\u003e📝 Week 11\u003c/td\u003e\n    \u003ctd\u003eComing soon!\u003c/td\u003e\n    \u003ctd\u003e⏳ Pending\u003c/td\u003e\n  \u003c/tr\u003e\n  \u003ctr\u003e\n    \u003ctd\u003e📝 Week 12\u003c/td\u003e\n    \u003ctd\u003eComing soon!\u003c/td\u003e\n    \u003ctd\u003e⏳ Pending\u003c/td\u003e\n  \u003c/tr\u003e\n\u003c/table\u003e\n\n### 📺 YouTube Playlist\n[Complete NPTEL Course Videos](https://youtu.be/cmRkGyrcsrI)\n\n### 👨‍👩‍👧‍👦 Join Our Study Group\n\u003ca href=\"https://discord.gg/rNKDggem\"\u003e\n  \u003cimg src=\"https://img.shields.io/badge/Discord-Join_Study_Group-7289DA?style=for-the-badge\u0026logo=discord\u0026logoColor=white\" alt=\"Discord Study Group\"\u003e\n\u003c/a\u003e\n\n## 📚 Week 1: Introduction To Data Analytics And Python Fundamentals\n\n\u003cdiv align=\"center\"\u003e\n  \u003ctable\u003e\n    \u003ctr\u003e\n      \u003cth width=\"300\"\u003eResource\u003c/th\u003e\n      \u003cth\u003eLink\u003c/th\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd\u003e🎬 Assignment solution\u003c/td\u003e\n      \u003ctd\u003e\u003ca href=\"https://youtu.be/lEF4bSJwAZE?si=KsXJCFaYiDWEYnur\"\u003e\u003cimg src=\"https://img.shields.io/badge/YouTube-Video-green\" alt=\"Assignment solution\"\u003e\u003c/a\u003e\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd\u003e🧩 Practice Questions\u003c/td\u003e\n      \u003ctd\u003e\u003ca href=\"https://www.youtube.com/live/_ehcQLhzzzM?si=p9gSGKQHGIZ5Hjrf\"\u003e\u003cimg src=\"https://img.shields.io/badge/YouTube-Video-green\" alt=\"Practice Questions\"\u003e\u003c/a\u003e\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd\u003e📝 Summary of Week-1\u003c/td\u003e\n      \u003ctd\u003e\u003ca href=\"https://youtu.be/klreBPvFSxE?si=G6F-qQo4VFfyrxIe\"\u003e\u003cimg src=\"https://img.shields.io/badge/YouTube-Video-green\" alt=\"Summary of Week-1\"\u003e\u003c/a\u003e\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd\u003e📊 Central Tendency and Dispersion\u003c/td\u003e\n      \u003ctd\u003e\u003ca href=\"https://youtu.be/jjRwZzgFhXY\"\u003e\u003cimg src=\"https://img.shields.io/badge/YouTube-Video-green\" alt=\"Central Tendency and Dispersion\"\u003e\u003c/a\u003e\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd\u003e💻 How to Run Python Notebook Online\u003c/td\u003e\n      \u003ctd\u003e\u003ca href=\"https://youtube.com/live/NvSPiaflnO0\"\u003e\u003cimg src=\"https://img.shields.io/badge/YouTube-Video-green\" alt=\"Top 5 Platform to Run Python In Online\"\u003e\u003c/a\u003e\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/table\u003e\n\u003c/div\u003e\n\n## 🧮 Statistical Tools \u0026 References\n\n\u003cdiv align=\"center\"\u003e\n  \u003ctable\u003e\n    \u003ctr\u003e\n      \u003cth\u003eTool\u003c/th\u003e\n      \u003cth\u003eDescription\u003c/th\u003e\n      \u003cth\u003eLink\u003c/th\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd\u003e📈 Z-table\u003c/td\u003e\n      \u003ctd\u003eStandard normal distribution table\u003c/td\u003e\n      \u003ctd\u003e\u003ca href=\"https://www.ztable.net/\"\u003eAccess Z-table\u003c/a\u003e\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd\u003e🧮 Z-score Calculator\u003c/td\u003e\n      \u003ctd\u003eCalculate Z-scores easily\u003c/td\u003e\n      \u003ctd\u003e\u003ca href=\"https://www.calculator.net/z-score-calculator.html\"\u003eUse Calculator\u003c/a\u003e\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd\u003e📊 T-table\u003c/td\u003e\n      \u003ctd\u003eStudent's t-distribution table\u003c/td\u003e\n      \u003ctd\u003e\u003ca href=\"https://www.tdistributiontable.com/\"\u003eAccess T-table\u003c/a\u003e\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd\u003e🧮 T-value Calculator\u003c/td\u003e\n      \u003ctd\u003eCalculate T-values easily\u003c/td\u003e\n      \u003ctd\u003e\u003ca href=\"https://goodcalculators.com/student-t-value-calculator/\"\u003eUse Calculator\u003c/a\u003e\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/table\u003e\n\u003c/div\u003e\n\n## 📌 Key Topics Covered\n\n\u003cdiv align=\"center\"\u003e\n  \u003ctable\u003e\n    \u003ctr\u003e\n      \u003ctd align=\"center\" width=\"100\"\u003e\u003cimg src=\"https://img.shields.io/badge/-NumPy-013243?style=for-the-badge\u0026logo=numpy\u0026logoColor=white\" alt=\"NumPy\"\u003e\u003c/td\u003e\n      \u003ctd align=\"center\" width=\"100\"\u003e\u003cimg src=\"https://img.shields.io/badge/-Pandas-150458?style=for-the-badge\u0026logo=pandas\u0026logoColor=white\" alt=\"Pandas\"\u003e\u003c/td\u003e\n      \u003ctd align=\"center\" width=\"100\"\u003e\u003cimg src=\"https://img.shields.io/badge/-Matplotlib-3776AB?style=for-the-badge\u0026logo=python\u0026logoColor=white\" alt=\"Matplotlib\"\u003e\u003c/td\u003e\n      \u003ctd align=\"center\" width=\"100\"\u003e\u003cimg src=\"https://img.shields.io/badge/-Statistics-FFA500?style=for-the-badge\u0026logo=python\u0026logoColor=white\" alt=\"Statistics\"\u003e\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd align=\"center\"\u003eArrays \u0026 Matrix Operations\u003c/td\u003e\n      \u003ctd align=\"center\"\u003eData Manipulation\u003c/td\u003e\n      \u003ctd align=\"center\"\u003eData Visualization\u003c/td\u003e\n      \u003ctd align=\"center\"\u003eHypothesis Testing\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/table\u003e\n\u003c/div\u003e\n\n\u003cblockquote\u003e\n  \u003cp\u003e💡 \u003cstrong\u003eCourse Tip:\u003c/strong\u003e Focus on understanding statistical concepts first, then learn how to implement them in Python. The combination of theoretical knowledge and practical coding skills will make you proficient in data analytics.\u003c/p\u003e\n\u003c/blockquote\u003e\n\n## 🙏 Credits\n\n\u003cdiv align=\"center\"\u003e\n  \u003cp\u003eNPTEL Video Playlist: \u003ca href=\"https://youtube.com/playlist?list=PLLy_2iUCG87CNafffzNZPVa9rW-QmOmEv\u0026si=bscrB6uSG308P1XJ\"\u003eWatch all lectures\u003c/a\u003e\u003c/p\u003e\n  \u003cp\u003eRepository maintained by \u003ca href=\"https://github.com/Yash-Kavaiya\"\u003eYash Kavaiya\u003c/a\u003e\u003c/p\u003e\n\u003c/div\u003e\n\n---\n\n\u003cdiv align=\"center\"\u003e\n  \u003cp\u003e⭐ Star this repository if you find it helpful! ⭐\u003c/p\u003e\n  \u003cp\u003e📚 Happy Learning and Data Analysis! 📊\u003c/p\u003e\n\u003c/div\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fyash-kavaiya%2Fdata-analytics-with-python-nptel","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fyash-kavaiya%2Fdata-analytics-with-python-nptel","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fyash-kavaiya%2Fdata-analytics-with-python-nptel/lists"}