Download Udemy - Python for Data Science - The Complete Data Science Bootcamp torrent

Udemy - Python for Data Science - The Complete Data Science Bootcamp

Torrent:	Udemy - Python for Data Science - The Complete Data Science Bootcamp
Description:	Python for Data Science: The Complete Data Science Bootcamp https://WebToolTip.com Published 1/2026 Created by Muhammad Riaz Uddin MP4 \| Video: h264, 1920x1080 \| Audio: AAC, 44.1 KHz, 2 Ch Level: All \| Genre: eLearning \| Language: English \| Duration: 44 Lectures ( 3h 54m ) \| Size: 3 GB Python for Data Science: Perform Data Analysis, Visualization, and Machine Learning With Python What you'll learn ✓ What is Data Science? ✓ Why Python for Data Science? ✓ Introduction to Jupyter Notebooks ✓ Variables, Data Types, and Operators ✓ Control Flow: Conditionals and Loops ✓ Working with Modules and Packages ✓ Error Handling and Assertions ✓ Introduction to Pandas: Series and DataFrames ✓ Reading & Writing Data (CSV, Excel, JSON) ✓ Data Cleaning & Preprocessing ✓ Handling Missing Values & Duplicates ✓ Data Transformation & Feature Engineering ✓ Creating, Indexing, and Slicing Arrays ✓ Mathematical Operations with NumPy ✓ Useful NumPy Functions for Data Science ✓ Introduction to Data Visualization ✓ Plotting with Matplotlib ✓ Seaborn for Statistical Graphics ✓ Advanced Charts: Heatmaps, Pairplots, and Violin Plots ✓ Identifying Patterns, Outliers & Trends ✓ Using Pandas Profiling & Sweetviz Requirements ● No prior data science experience needed
Downloads:	15
Category:	Other /Tutorials
Size:	3 GB
Show Files »	[ WebToolTip.com ] Udemy - Python for Data Science - The Complete Data Science Bootcamp Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 1 - Introduction to Data Science and Python 1. What is Data Science.mp4 (31.2 MB) 2. Why Python for Data Science.mp4 (37.9 MB) 3. Introduction to Jupyter Notebooks.mp4 (11.9 MB) 4. First Python Script “Hello Data ”.mp4 (58.1 MB) 2 - Python Fundamentals for Data Science 5. Variables Data Types and Operators.mp4 (64.4 MB) 6. Control Flow Conditionals and Loops.mp4 (74.2 MB) 7. Functions and Scope.mp4 (62.7 MB) 8. Working with Modules and Packages.mp4 (81.1 MB) 9. Error Handling and Assertions.mp4 (108.7 MB) 3 - Working with Data Using Pandas 10. Introduction to Pandas Series and DataFrames.mp4 (81.3 MB) 11. Reading & Writing Data (CSV Excel JSON).mp4 (79.7 MB) 12. Data Cleaning & Preprocessing.mp4 (117.0 MB) 13. Handling Missing Values & Duplicates.mp4 (110.7 MB) 14. Data Transformation & Feature Engineering.mp4 (109.2 MB) 15. Grouping Sorting and Aggregating Data.mp4 (80.3 MB) 4 - Numerical Computing with NumPy 16. Arrays vs Lists.mp4 (64.6 MB) 17. Creating Indexing and Slicing Arrays.mp4 (50.3 MB) 18. Mathematical Operations with NumPy.mp4 (86.9 MB) 19. Broadcasting and Vectorization.mp4 (49.5 MB) 20. Useful NumPy Functions for Data Science.mp4 (96.5 MB) 5 - Data Visualization 21. Introduction to Data Visualization.mp4 (59.8 MB) 22. Plotting with Matplotlib.mp4 (102.1 MB) 23. Customizing Charts (Colors Labels Legends).mp4 (87.8 MB) 24. Advanced Charts Heatmaps Pairplots and Violin Plots.mp4 (91.4 MB) 25. Interactive Visualizations (optional Plotly Altair).mp4 (57.7 MB) 6 - Exploratory Data Analysis (EDA) 26. What is EDA.mp4 (53.0 MB) 27. Identifying Patterns Outliers & Trends.mp4 (53.8 MB) 28. Descriptive Statistics.mp4 (72.1 MB) 29. Correlation Analysis.mp4 (47.1 MB) 30. Using Pandas Profiling & Sweetviz (Optional).mp4 (63.9 MB) 7 - Introduction to Statistics for Data Science 31. Mean Median Mode Variance Standard Deviation.mp4 (55.3 MB) 32. Probability Concepts.mp4 (43.9 MB) 33. Hypothesis Testing.mp4 (41.4 MB) 34. Confidence Intervals.mp4 (48.5 MB) 35. Linear Regression Intuition.mp4 (90.4 MB) 8 - Machine Learning with Scikit Learn 36. What is Machine Learning.mp4 (38.7 MB) 37. Supervised vs Unsupervised Learning.mp4 (72.9 MB) 38. ML Workflow (Prepare Train Evaluate Tune).mp4 (77.2 MB) 39. Regression Algorithms Linear Ridge Lasso.mp4 (108.8 MB) 40. Classification Algorithms Logistic Regression KNN Decision Trees.mp4 (105.6 MB) 41. Clustering K Means.mp4 (40.2 MB) 9 - Advanced Topics (Optional Bonus) 42. Introduction to Time Series Analysis.mp4 (85.6 MB) 43. Intro to Deep Learning with TensorFlow Keras.mp4 (73.2 MB) 44. Working with Big Data (Intro to PySpark).mp4 (83.3 MB) Bonus Resources.txt (0.1 KB) files
Added:	2026-02-13 12:45:49
Language:	English
Peers:	Seeders : 1 , Leechers : 9
Tags:	Development Data Science Data Science Udemy
Release name:	Udemy - Python for Data Science - The Complete Data Science Bootcamp
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