Udemy - Python Bootcamp for Data Science 2021 Numpy Pandas & Seaborn

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[GigaCourse.Com] Udemy - Python Bootcamp for Data Science 2021 Numpy Pandas & Seaborn 0. Websites you may like
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1. Introduction
  • 1. Course Introduction.mp4 (13.9 MB)
  • 1. Course Introduction.srt (4.5 KB)
  • 2. How to Download Course Notebooks.mp4 (38.1 MB)
  • 2. How to Download Course Notebooks.srt (6.2 KB)
  • 2.1 How to download course notebooks.pdf (140.2 KB)
  • 3. Overview of Course Curriculum.mp4 (27.1 MB)
  • 3. Overview of Course Curriculum.srt (5.9 KB)
10. Module 10 Data Wrangling1 Hierarchical Indexing
  • 1. Hierarchical Indexing.mp4 (31.2 MB)
  • 1. Hierarchical Indexing.srt (6.5 KB)
  • 2. Reordering and Sorting Index Levels.mp4 (14.3 MB)
  • 2. Reordering and Sorting Index Levels.srt (3.0 KB)
  • 3. Summary Statistics by Level.mp4 (17.3 MB)
  • 3. Summary Statistics by Level.srt (4.1 KB)
  • 4. Indexing with Columns in Dataframe.mp4 (23.1 MB)
  • 4. Indexing with Columns in Dataframe.srt (5.0 KB)
  • 5. Short Quiz.html (0.2 KB)
11. Module 11 Data Wrangling2 Combining and Merging Datasets
  • 1. Merging Datasets on Keys (common columns).mp4 (36.9 MB)
  • 1. Merging Datasets on Keys (common columns).srt (8.2 KB)
  • 2. Merging Datasets on Index.mp4 (15.0 MB)
  • 2. Merging Datasets on Index.srt (3.1 KB)
  • 3. Concatenating Along an Axis.mp4 (30.1 MB)
  • 3. Concatenating Along an Axis.srt (7.2 KB)
  • 4. Short Quiz.html (0.2 KB)
  • [CourseClub.Me].url (0.1 KB)
  • [GigaCourse.Com].url (0.0 KB)
12. Module 12 Data Wrangling3 Reshaping and Pivoting
  • 1. Reshaping by Stacking and Unstacking.mp4 (26.5 MB)
  • 1. Reshaping by Stacking and Unstacking.srt (5.6 KB)
  • 2. Reshaping by Melting (Wide to Long ).mp4 (9.5 MB)
  • 2. Reshaping by Melting (Wide to Long ).srt (5.9 KB)
  • 3. Reshaping by Pivoting (Long to Wide).mp4 (28.9 MB)
  • 3. Reshaping by Pivoting (Long to Wide).srt (6.4 KB)
  • 4. Short Quiz.html (0.2 KB)
13. Module 13 Data Visualization with Matplotlib and Seaborn
  • 1. Introducing Matplotlib Library.mp4 (11.5 MB)
  • 1. Introducing Matplotlib Library.srt (3.2 KB)
  • 10. Bar Plots with Dataframes.mp4 (20.6 MB)
  • 10. Bar Plots with Dataframes.srt (4.2 KB)
  • 11. Bar Plots with Seaborn.mp4 (25.7 MB)
  • 11. Bar Plots with Seaborn.srt (5.6 KB)
  • 12. Histograms and Density Plots.mp4 (27.8 MB)
  • 12. Histograms and Density Plots.srt (5.1 KB)
  • 13. Scatter Plots and Pair Plots.mp4 (35.8 MB)
  • 13. Scatter Plots and Pair Plots.srt (5.4 KB)
  • 14. Factor Plots for Categorical Data.mp4 (27.3 MB)
  • 14. Factor Plots for Categorical Data.srt (6.4 KB)
  • 15. Short Quiz.html (0.2 KB)
  • 2. Creating Figures and Subplots.mp4 (31.2 MB)
  • 2. Creating Figures and Subplots.srt (6.7 KB)
  • 3. Changing Colors, Markers and Linestyle.mp4 (21.9 MB)
  • 3. Changing Colors, Markers and Linestyle.srt (4.0 KB)
  • 4. Customizing Ticks and Labels.mp4 (28.6 MB)
  • 4. Customizing Ticks and Labels.srt (4.9 KB)
  • 5. Adding Legends.mp4 (24.6 MB)
  • 5. Adding Legends.srt (4.4 KB)
  • 6. Adding Texts and Arrows on a Plot.mp4 (23.4 MB)
  • 6. Adding Texts and Arrows on a Plot.srt (4.9 KB)
  • 7. Adding Annotations and Drawings on a Plot.mp4 (31.5 MB)
  • 7. Adding Annotations and Drawings on a Plot.srt (7.6 KB)
  • 8. Saving Plots to a File.mp4 (18.1 MB)
  • 8. Saving Plots to a File.srt (3.9 KB)
  • 9. Line Plots with Dataframe.mp4 (26.7 MB)
  • 9. Line Plots with Dataframe.srt (4.8 KB)
14. Module 14 Time Series
  • 1. Date and time Data types.mp4 (20.2 MB)
  • 1. Date and time Data types.srt (4.5 KB)
  • 2. Converting Between String and Datetime.mp4 (25.9 MB)
  • 2. Converting Between String and Datetime.srt (5.3 KB)
  • 3. Basics of Time Series.mp4 (32.8 MB)
  • 3. Basics of Time Series.srt (7.4 KB)
  • 4. Generating Date Ranges.mp4 (29.5 MB)
  • 4. Generating Date Ranges.srt (4.6 KB)
  • 5. Shifting Data Through Time (Lagging and Leading).mp4 (33.2 MB)
  • 5. Shifting Data Through Time (Lagging and Leading).srt (6.6 KB)
  • 6. Handling Time Zone.mp4 (33.5 MB)
  • 6. Handling Time Zone.srt (5.7 KB)
  • 7. Resampling and Frequency Conversion.mp4 (23.1 MB)
  • 7. Resampling and Frequency Conversion.srt (5.5 KB)
  • 8. Rolling and Moving Windows.mp4 (29.8 MB)
  • 8. Rolling and Moving Windows.srt (6.7 KB)
  • 9. Short Quiz.html (0.2 KB)
15. Module 15 Real World Data Analysis Example
  • 1. Housing Dataset Analysis -Part One.mp4 (10.8 MB)
  • 1. Housing Dataset Analysis -Part One.srt (4.2 KB)
  • 2. Housing Dataset Analysis -Part Two.mp4 (23.3 MB)
  • 2. Housing Dataset Analysis -Part Two.srt (4.2 KB)
  • 3. Housing Dataset Analysis -Part Three.mp4 (29.7 MB)
  • 3. Housing Dataset Analysis -Part Three.srt (4.5 KB)
  • 4. Housing Dataset Analysis -Part Four.mp4 (31.9 MB)
  • 4. Housing Dataset Analysis -Part Four.srt (6.2 KB)
  • 5. Housing Dataset Analysis -Part Five.mp4 (40.0 MB)
  • 5. Housing Dataset Analysis -Part Five.srt (8.7 KB)
  • [CourseClub.Me].url (0.1 KB)
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2. Module 2 Setting Python Environment
  • 1. Decide Which Python Environment to Use.mp4 (12.0 MB)
  • 1. Decide Which Python Environment to Use.srt (4.2 KB)
  • 2. Local environment Installing Anaconda.mp4 (10.4 MB)
  • 2. Local environment Installing Anaconda.srt (4.2 KB)
  • 3. Cloud Environment Google Colab Jupyter Notebooks.mp4 (20.2 MB)
  • 3. Cloud Environment Google Colab Jupyter Notebooks.srt (5.3 KB)
3. Module 3 Working with Jupyter Notebooks
  • 1. Running Jupyter Notebook.mp4 (28.8 MB)
  • 1. Running Jupyter Notebook.srt (5.9 KB)

  • Description

    Python Bootcamp for Data Science 2021 Numpy Pandas & Seaborn

    Learn to use NumPy, Pandas, Seaborn , Matplotlib for Data Manipulation and Exploration with Python

    Created by Taher Assaf
    Last updated 10/2021
    English
    English [Auto]

    For More Udemy Courses Visit: https://gigacourse.com
    For More Courses Visit: https://Courseclub.me



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Udemy - Python Bootcamp for Data Science 2021 Numpy Pandas & Seaborn

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2 GB
seeders:12
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Udemy - Python Bootcamp for Data Science 2021 Numpy Pandas & Seaborn

Torrent hash: B56A243BA5400A977D14750155FA2399CC82ACD7