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

BOOKTIME
url: https://www.udemy.com/course/python-for-data-science-the-complete-data-science-bootcamp/

140M	Chapter_1-Introduction_to_Data_Science_and_Python
32M	Chapter_1-Introduction_to_Data_Science_and_Python/1 What is Data Science.mp4
38M	Chapter_1-Introduction_to_Data_Science_and_Python/2 Why Python for Data Science.mp4
12M	Chapter_1-Introduction_to_Data_Science_and_Python/3 Introduction to Jupyter Notebooks.mp4
59M	Chapter_1-Introduction_to_Data_Science_and_Python/4 First Python Script “Hello, Data!”.mp4
392M	Chapter_2-Python_Fundamentals_for_Data_Science
65M	Chapter_2-Python_Fundamentals_for_Data_Science/5 Variables, Data Types, and Operators.mp4
75M	Chapter_2-Python_Fundamentals_for_Data_Science/6 Control Flow Conditionals and Loops.mp4
63M	Chapter_2-Python_Fundamentals_for_Data_Science/7 Functions and Scope.mp4
82M	Chapter_2-Python_Fundamentals_for_Data_Science/8 Working with Modules and Packages.mp4
109M	Chapter_2-Python_Fundamentals_for_Data_Science/9 Error Handling and Assertions.mp4
579M	Chapter_3-Working_with_Data_using_Pandas
82M	Chapter_3-Working_with_Data_using_Pandas/10 Introduction to Pandas Series and DataFrames.mp4
80M	Chapter_3-Working_with_Data_using_Pandas/11 Reading & Writing Data (CSV, Excel, JSON).mp4
117M	Chapter_3-Working_with_Data_using_Pandas/12 Data Cleaning & Preprocessing.mp4
111M	Chapter_3-Working_with_Data_using_Pandas/13 Handling Missing Values & Duplicates.mp4
110M	Chapter_3-Working_with_Data_using_Pandas/14 Data Transformation & Feature Engineering.mp4
81M	Chapter_3-Working_with_Data_using_Pandas/15 Grouping, Sorting, and Aggregating Data.mp4
348M	Chapter_4-Numerical_Computing_with_NumPy
65M	Chapter_4-Numerical_Computing_with_NumPy/16 Arrays vs Lists.mp4
51M	Chapter_4-Numerical_Computing_with_NumPy/17 Creating, Indexing, and Slicing Arrays.mp4
87M	Chapter_4-Numerical_Computing_with_NumPy/18 Mathematical Operations with NumPy.mp4
50M	Chapter_4-Numerical_Computing_with_NumPy/19 Broadcasting and Vectorization.mp4
97M	Chapter_4-Numerical_Computing_with_NumPy/20 Useful NumPy Functions for Data Science.mp4
399M	Chapter_5-Data_Visualization
60M	Chapter_5-Data_Visualization/21 Introduction to Data Visualization.mp4
103M	Chapter_5-Data_Visualization/22 Plotting with Matplotlib.mp4
88M	Chapter_5-Data_Visualization/23 Customizing Charts (Colors, Labels, Legends).mp4
92M	Chapter_5-Data_Visualization/24 Advanced Charts Heatmaps, Pairplots, and Violin Plots.mp4
58M	Chapter_5-Data_Visualization/25 Interactive Visualizations (optional PlotlyAltair).mp4
291M	Chapter_6-Exploratory_Data_Analysis_(EDA)
54M	Chapter_6-Exploratory_Data_Analysis_(EDA)/26 What is EDA.mp4
54M	Chapter_6-Exploratory_Data_Analysis_(EDA)/27 Identifying Patterns, Outliers & Trends.mp4
73M	Chapter_6-Exploratory_Data_Analysis_(EDA)/28 Descriptive Statistics.mp4
48M	Chapter_6-Exploratory_Data_Analysis_(EDA)/29 Correlation Analysis.mp4
64M	Chapter_6-Exploratory_Data_Analysis_(EDA)/30 Using Pandas Profiling & Sweetviz (Optional).mp4
280M	Chapter_7-Introduction_to_Statistics_for_Data_Science
56M	Chapter_7-Introduction_to_Statistics_for_Data_Science/31 Mean, Median, Mode, Variance, Standard Deviation.mp4
44M	Chapter_7-Introduction_to_Statistics_for_Data_Science/32 Probability Concepts.mp4
42M	Chapter_7-Introduction_to_Statistics_for_Data_Science/33 Hypothesis Testing.mp4
49M	Chapter_7-Introduction_to_Statistics_for_Data_Science/34 Confidence Intervals.mp4
91M	Chapter_7-Introduction_to_Statistics_for_Data_Science/35 Linear Regression Intuition.mp4
444M	Chapter_8-Machine_Learning_with_Scilkit_Learn
39M	Chapter_8-Machine_Learning_with_Scilkit_Learn/36 What is Machine Learning.mp4
73M	Chapter_8-Machine_Learning_with_Scilkit_Learn/37 Supervised vs Unsupervised Learning.mp4
78M	Chapter_8-Machine_Learning_with_Scilkit_Learn/38 ML Workflow (Prepare, Train, Evaluate, Tune).mp4
109M	Chapter_8-Machine_Learning_with_Scilkit_Learn/39 Regression Algorithms Linear, Ridge, Lasso.mp4
106M	Chapter_8-Machine_Learning_with_Scilkit_Learn/40 Classification Algorithms Logistic Regression, KNN, Decision Trees.mp4
41M	Chapter_8-Machine_Learning_with_Scilkit_Learn/41 Clustering K-Means.mp4
243M	Chapter_9-Advanced_Topics_(Optional_Bonus)
86M	Chapter_9-Advanced_Topics_(Optional_Bonus)/42 Introduction to Time Series Analysis.mp4
74M	Chapter_9-Advanced_Topics_(Optional_Bonus)/43 Intro to Deep Learning with TensorFlowKeras.mp4
84M	Chapter_9-Advanced_Topics_(Optional_Bonus)/44 Working with Big Data (Intro to PySpark).mp4
3.1G	total