[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$f6gBvp-A5xKXMoM5vfv2oHrU0H3XZlm7r1bGxEKOwxxc":3},{"id":4,"name":5,"category_id":6,"subcategory_id":7,"uploaded_by":8,"downloads":9,"size":10,"seeders":11,"leechers":12,"infohash":13,"language":14,"title":15,"slogan":15,"poster_alt":16,"description":15,"cover_image":15,"magnet_link":17,"stream_link":16,"content":18,"files":19,"comments_count":20,"tracker_list":21,"date_uploaded":22,"last_checked":22,"last_checked_at":16,"user_id":16,"submit_flag":20,"uploaded_at":23,"created_at":24,"updated_at":24,"slugged_title":25,"category_name":26,"subcategory_name":27,"uploaded_ago":28,"category":29,"subcategory":30,"comments":32},6584307,"Udemy - Python for Data Science - The Complete Data Science Bootcamp",9,34,"freecoursewb",34241,"3 GB",28451,10658,"2ECB44B7ACBB3FBD03C31867FF8CB5C514AB5611","English","",null,"magnet:?xt=urn:btih:2ECB44B7ACBB3FBD03C31867FF8CB5C514AB5611&dn=Udemy+-+Python+for+Data+Science+-+The+Complete+Data+Science+Bootcamp&tr=udp%3A%2F%2Ftracker.torrent.eu.org%3A451%2Fannounce&tr=udp%3A%2F%2Ftracker.tiny-vps.com%3A6969%2Fannounce&tr=http%3A%2F%2Ftracker.foreverpirates.co%3A80%2Fannounce&tr=udp%3A%2F%2Ftracker.cyberia.is%3A6969%2Fannounce&tr=udp%3A%2F%2Fexodus.desync.com%3A6969%2Fannounce&tr=udp%3A%2F%2Fexplodie.org%3A6969%2Fannounce&tr=udp%3A%2F%2Ftracker.opentrackr.org%3A1337%2Fannounce&tr=udp%3A%2F%2F9.rarbg.to%3A2780%2Fannounce&tr=udp%3A%2F%2Ftracker.internetwarriors.net%3A1337%2Fannounce&tr=udp%3A%2F%2Fipv4.tracker.harry.lu%3A80%2Fannounce&tr=udp%3A%2F%2Fopen.stealth.si%3A80%2Fannounce&tr=udp%3A%2F%2F9.rarbg.to%3A2900%2Fannounce&tr=udp%3A%2F%2F9.rarbg.me%3A2720%2Fannounce&tr=udp%3A%2F%2Fopentor.org%3A2710%2Fannounce&tr=udp%3A%2F%2Ftracker.opentrackr.org%3A1337%2Fannounce&tr=http%3A%2F%2Ftracker.openbittorrent.com%3A80%2Fannounce&tr=udp%3A%2F%2Fopentracker.i2p.rocks%3A6969%2Fannounce&tr=udp%3A%2F%2Ftracker.internetwarriors.net%3A1337%2Fannounce&tr=udp%3A%2F%2Ftracker.leechers-paradise.org%3A6969%2Fannounce&tr=udp%3A%2F%2Fcoppersurfer.tk%3A6969%2Fannounce&tr=udp%3A%2F%2Ftracker.zer0day.to%3A1337%2Fannounce","\u003Cp>\u003Cstrong> Python for Data Science: The Complete Data Science Bootcamp  \u003C/strong>\n\u003Cbr>\u003Cbr>\u003Cspan style=\"font-size: 16px\">\u003Cstrong>\u003Ca target=\"_blank\" href=\"https://WebToolTip.com\">https://WebToolTip.com\u003C/a> \u003C/strong>\u003C/span>\n\u003Cbr>\u003Cbr>Published 1/2026\n\u003Cbr>Created by Muhammad Riaz Uddin\n\u003Cbr>MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch\n\u003Cbr>Level: All | Genre: eLearning | Language: English | Duration: 44 Lectures ( 3h 54m ) | Size: 3 GB\n\u003Cbr>\u003Cbr>Python for Data Science: Perform Data Analysis, Visualization, and Machine Learning With Python\n\u003Cbr>\u003Cbr>What you'll learn\n\u003Cbr>✓ What is Data Science?\n\u003Cbr>✓ Why Python for Data Science?\n\u003Cbr>✓ Introduction to Jupyter Notebooks\n\u003Cbr>✓ Variables, Data Types, and Operators\n\u003Cbr>✓ Control Flow: Conditionals and Loops\n\u003Cbr>✓ Working with Modules and Packages\n\u003Cbr>✓ Error Handling and Assertions\n\u003Cbr>✓ Introduction to Pandas: Series and DataFrames\n\u003Cbr>✓ Reading & Writing Data (CSV, Excel, JSON)\n\u003Cbr>✓ Data Cleaning & Preprocessing\n\u003Cbr>✓ Handling Missing Values & Duplicates\n\u003Cbr>✓ Data Transformation & Feature Engineering\n\u003Cbr>✓ Creating, Indexing, and Slicing Arrays\n\u003Cbr>✓ Mathematical Operations with NumPy\n\u003Cbr>✓ Useful NumPy Functions for Data Science\n\u003Cbr>✓ Introduction to Data Visualization\n\u003Cbr>✓ Plotting with Matplotlib\n\u003Cbr>✓ Seaborn for Statistical Graphics\n\u003Cbr>✓ Advanced Charts: Heatmaps, Pairplots, and Violin Plots\n\u003Cbr>✓ Identifying Patterns, Outliers & Trends\n\u003Cbr>✓ Using Pandas Profiling & Sweetviz\n\u003Cbr>\u003Cbr>Requirements\n\u003Cbr>● No prior data science experience needed\u003C/p>","\u003Ch2>Files: \u003C/h2>\n                            \u003Cspan class=\"head\">\u003Ci class=\"flaticon-folder\">\u003C/i>[ WebToolTip.com ] Udemy - Python for Data Science - The Complete Data Science Bootcamp\u003C/span>\n\u003Cul>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>Get Bonus Downloads Here.url (0.2 KB)\u003C/li>\n\u003Cspan class=\"head\">\u003Ci class=\"flaticon-folder\">\u003C/i>~Get Your Files Here !\u003C/span>\n\u003Cspan class=\"head\">\u003Ci class=\"flaticon-folder\">\u003C/i>1 - Introduction to Data Science and Python\u003C/span>\n\u003Cul>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>1. What is Data Science.mp4 (31.2 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>2. Why Python for Data Science.mp4 (37.9 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>3. Introduction to Jupyter Notebooks.mp4 (11.9 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>4. First Python Script “Hello Data ”.mp4 (58.1 MB)\u003C/li>\n\u003C/ul>\n\u003Cspan class=\"head\">\u003Ci class=\"flaticon-folder\">\u003C/i>2 - Python Fundamentals for Data Science\u003C/span>\n\u003Cul>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>5. Variables Data Types and Operators.mp4 (64.4 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>6. Control Flow Conditionals and Loops.mp4 (74.2 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>7. Functions and Scope.mp4 (62.7 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>8. Working with Modules and Packages.mp4 (81.1 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>9. Error Handling and Assertions.mp4 (108.7 MB)\u003C/li>\n\u003C/ul>\n\u003Cspan class=\"head\">\u003Ci class=\"flaticon-folder\">\u003C/i>3 - Working with Data Using Pandas\u003C/span>\n\u003Cul>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>10. Introduction to Pandas Series and DataFrames.mp4 (81.3 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>11. Reading & Writing Data (CSV Excel JSON).mp4 (79.7 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>12. Data Cleaning & Preprocessing.mp4 (117.0 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>13. Handling Missing Values & Duplicates.mp4 (110.7 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>14. Data Transformation & Feature Engineering.mp4 (109.2 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>15. Grouping Sorting and Aggregating Data.mp4 (80.3 MB)\u003C/li>\n\u003C/ul>\n\u003Cspan class=\"head\">\u003Ci class=\"flaticon-folder\">\u003C/i>4 - Numerical Computing with NumPy\u003C/span>\n\u003Cul>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>16. Arrays vs Lists.mp4 (64.6 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>17. Creating Indexing and Slicing Arrays.mp4 (50.3 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>18. Mathematical Operations with NumPy.mp4 (86.9 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>19. Broadcasting and Vectorization.mp4 (49.5 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>20. Useful NumPy Functions for Data Science.mp4 (96.5 MB)\u003C/li>\n\u003C/ul>\n\u003Cspan class=\"head\">\u003Ci class=\"flaticon-folder\">\u003C/i>5 - Data Visualization\u003C/span>\n\u003Cul>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>21. Introduction to Data Visualization.mp4 (59.8 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>22. Plotting with Matplotlib.mp4 (102.1 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>23. Customizing Charts (Colors Labels Legends).mp4 (87.8 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>24. Advanced Charts Heatmaps Pairplots and Violin Plots.mp4 (91.4 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>25. Interactive Visualizations (optional Plotly Altair).mp4 (57.7 MB)\u003C/li>\n\u003C/ul>\n\u003Cspan class=\"head\">\u003Ci class=\"flaticon-folder\">\u003C/i>6 - Exploratory Data Analysis (EDA)\u003C/span>\n\u003Cul>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>26. What is EDA.mp4 (53.0 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>27. Identifying Patterns Outliers & Trends.mp4 (53.8 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>28. Descriptive Statistics.mp4 (72.1 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>29. Correlation Analysis.mp4 (47.1 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>30. Using Pandas Profiling & Sweetviz (Optional).mp4 (63.9 MB)\u003C/li>\n\u003C/ul>\n\u003Cspan class=\"head\">\u003Ci class=\"flaticon-folder\">\u003C/i>7 - Introduction to Statistics for Data Science\u003C/span>\n\u003Cul>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>31. Mean Median Mode Variance Standard Deviation.mp4 (55.3 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>32. Probability Concepts.mp4 (43.9 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>33. Hypothesis Testing.mp4 (41.4 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>34. Confidence Intervals.mp4 (48.5 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>35. Linear Regression Intuition.mp4 (90.4 MB)\u003C/li>\n\u003C/ul>\n\u003Cspan class=\"head\">\u003Ci class=\"flaticon-folder\">\u003C/i>8 - Machine Learning with Scikit Learn\u003C/span>\n\u003Cul>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>36. What is Machine Learning.mp4 (38.7 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>37. Supervised vs Unsupervised Learning.mp4 (72.9 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>38. ML Workflow (Prepare Train Evaluate Tune).mp4 (77.2 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>39. Regression Algorithms Linear Ridge Lasso.mp4 (108.8 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>40. Classification Algorithms Logistic Regression KNN Decision Trees.mp4 (105.6 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>41. Clustering K Means.mp4 (40.2 MB)\u003C/li>\n\u003C/ul>\n\u003Cspan class=\"head\">\u003Ci class=\"flaticon-folder\">\u003C/i>9 - Advanced Topics (Optional Bonus)\u003C/span>\n\u003Cul>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>42. Introduction to Time Series Analysis.mp4 (85.6 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>43. Intro to Deep Learning with TensorFlow Keras.mp4 (73.2 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>44. Working with Big Data (Intro to PySpark).mp4 (83.3 MB)\u003C/li>\n\u003C/ul>\n\u003Cul>\n\u003Cli>\n\u003Ci class=\"flaticon-book\">\u003C/i>Bonus Resources.txt (0.1 KB)\u003C/li>\n\n              \u003C/ul>\n\u003C/ul>",0,"\u003Ch3>\n                                Code:\n                            \u003C/h3>\n                            \u003Cul>\n                                \u003Cli>\n                                        \u003Cspan class=\"icon\">\n                                            \u003Ci class=\"flaticon-href-link\">\n                                            \u003C/i>\n                                        \u003C/span>\n                                        udp://tracker.torrent.eu.org:451/announce                                    \u003C/li>\u003Cli>\n                                        \u003Cspan class=\"icon\">\n                                            \u003Ci class=\"flaticon-href-link\">\n                                            \u003C/i>\n                                        \u003C/span>\n                                        udp://tracker.tiny-vps.com:6969/announce                                    \u003C/li>\u003Cli>\n                                        \u003Cspan class=\"icon\">\n                                            \u003Ci class=\"flaticon-href-link\">\n                                            \u003C/i>\n                                        \u003C/span>\n                                        http://tracker.foreverpirates.co:80/announce                                    \u003C/li>\u003Cli>\n                                        \u003Cspan class=\"icon\">\n                                            \u003Ci class=\"flaticon-href-link\">\n                                            \u003C/i>\n                                        \u003C/span>\n                                        udp://tracker.cyberia.is:6969/announce                                    \u003C/li>\u003Cli>\n                                        \u003Cspan class=\"icon\">\n                                            \u003Ci class=\"flaticon-href-link\">\n                                            \u003C/i>\n                                        \u003C/span>\n                                        udp://exodus.desync.com:6969/announce                                    \u003C/li>\u003Cli>\n                                        \u003Cspan class=\"icon\">\n                                            \u003Ci class=\"flaticon-href-link\">\n                                            \u003C/i>\n                                        \u003C/span>\n                                        udp://explodie.org:6969/announce                                    \u003C/li>\u003Cli>\n                                        \u003Cspan class=\"icon\">\n                                            \u003Ci class=\"flaticon-href-link\">\n                                            \u003C/i>\n                                        \u003C/span>\n                                        udp://tracker.opentrackr.org:1337/announce                                    \u003C/li>\u003Cli>\n                                        \u003Cspan class=\"icon\">\n                                            \u003Ci class=\"flaticon-href-link\">\n                                            \u003C/i>\n                                        \u003C/span>\n                                        udp://9.rarbg.to:2780/announce                                    \u003C/li>\u003Cli>\n                                        \u003Cspan class=\"icon\">\n                                            \u003Ci class=\"flaticon-href-link\">\n                                            \u003C/i>\n                                        \u003C/span>\n                                        udp://tracker.internetwarriors.net:1337/announce                                    \u003C/li>\u003Cli>\n                                        \u003Cspan class=\"icon\">\n                                            \u003Ci class=\"flaticon-href-link\">\n                                            \u003C/i>\n                                        \u003C/span>\n                                        udp://ipv4.tracker.harry.lu:80/announce                                    \u003C/li>\u003Cli>\n                                        \u003Cspan class=\"icon\">\n                                            \u003Ci class=\"flaticon-href-link\">\n                                            \u003C/i>\n                                        \u003C/span>\n                                        udp://open.stealth.si:80/announce                                    \u003C/li>\u003Cli>\n                                        \u003Cspan class=\"icon\">\n                                            \u003Ci class=\"flaticon-href-link\">\n                                            \u003C/i>\n                                        \u003C/span>\n                                        udp://9.rarbg.to:2900/announce                                    \u003C/li>\u003Cli>\n                                        \u003Cspan class=\"icon\">\n                                            \u003Ci class=\"flaticon-href-link\">\n                                            \u003C/i>\n                                        \u003C/span>\n                                        udp://9.rarbg.me:2720/announce                                    \u003C/li>\u003Cli>\n                                        \u003Cspan class=\"icon\">\n                                            \u003Ci class=\"flaticon-href-link\">\n                                            \u003C/i>\n                                        \u003C/span>\n                                        udp://opentor.org:2710/announce                                    \u003C/li>                            \u003C/ul>","Feb. 13th '26","2026-02-15 06:27:21","2026-02-15T06:27:21.000000Z","udemy-python-for-data-science-the-complete-data-science-bootcamp","Other","Tutorials","Feb. 15th '26",{"id":6,"name":26},{"id":7,"name":27,"icon":31},"flaticon-tutorial",[]]