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Complete Course on Data Visualization, Matplotlib and Python

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4:32:21

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  • 1. Python Data Visualization.mp4
    00:25
  • 2. Statistics arent enough..mp4
    00:53
  • 3. Why Visualize Data.mp4
    01:00
  • 4. Why Python.mp4
    00:47
  • 5. Python Visualization Eco System.mp4
    00:36
  • 6. Course Objectives.mp4
    00:53
  • 7. Topic outlines.mp4
    01:21
  • 8. Python Check.mp4
    01:06
  • 9. Source Code.mp4
    00:22
  • 1. Introduction to Visualization Concepts.mp4
    00:47
  • 2. Aesthetics.mp4
    01:21
  • 3. Data Types.mp4
    00:51
  • 4. Visualization Variables.mp4
    01:13
  • 5. Colors.mp4
    01:33
  • 6. Small Multiple Plots.mp4
    01:02
  • 7. Analysis types.mp4
    01:14
  • 8. Working with Data.mp4
    01:08
  • 1. Introduction to Matplotlib.mp4
    00:29
  • 2. Matplotlib History.mp4
    00:59
  • 3. Matplotlib landscape.mp4
    00:46
  • 4. System Setup.mp4
    02:37
  • 5. Data Set.mp4
    01:49
  • 6. Figure Overview.mp4
    01:07
  • 7. Interface Types.mp4
    01:41
  • 8. Launching notebooks.mp4
    01:12
  • 9. Reading Data.mp4
    02:03
  • 10. Pyplot Example.mp4
    02:12
  • 11. Object Oriented API.mp4
    04:46
  • 12. Histograms.mp4
    03:34
  • 13. Figures And Axes.mp4
    05:35
  • 14. Saving Images.mp4
    01:51
  • 15. Quick References.mp4
    01:14
  • 16. Line Plots.mp4
    04:19
  • 17. Bar Charts.mp4
    01:49
  • 18. Scatter Plots.mp4
    05:25
  • 19. Styles.mp4
    02:51
  • 20. Regressions.mp4
    03:15
  • 21. Customizing Multiple Plots.mp4
    03:34
  • 22. References.mp4
    01:40
  • 23. Summary.mp4
    01:40
  • 1. Introduction to Pandas.mp4
    00:21
  • 2. Pandas Overview.mp4
    00:52
  • 3. API Overview.mp4
    01:33
  • 4. Basic API Example.mp4
    05:41
  • 5. API Summary.mp4
    01:02
  • 6. Specialized hist and Box Plot API.mp4
    00:59
  • 7. Advanced Specialized Plots.mp4
    05:01
  • 8. Advanced Plot Summary.mp4
    01:03
  • 9. Pandas Conclusion.mp4
    01:14
  • 1. Introduction To Seaborn.mp4
    00:29
  • 2. Seaborn Overview.mp4
    01:41
  • 3. Getting Started.mp4
    00:58
  • 4. Figures and Axes level PLot.mp4
    01:57
  • 5. Data Set Changes.mp4
    01:53
  • 6. Displot.mp4
    04:16
  • 7. Catplot.mp4
    03:32
  • 8. Relplot.mp4
    01:46
  • 9. Seaborn API Summary.mp4
    01:23
  • 10. Displot Replot and Facetting.mp4
    04:40
  • 11. Catplot API Summary.mp4
    03:55
  • 12. Specialized plots.mp4
    01:08
  • 13. Heatmap.mp4
    04:32
  • 14. Pair and jointplot.mp4
    04:31
  • 15. Customizing Seaborn Summary.mp4
    01:25
  • 16. Seaborn Summary.mp4
    01:15
  • 1. Introduction to Altair.mp4
    00:42
  • 2. Overview.mp4
    01:01
  • 3. Vega Lite.mp4
    01:16
  • 4. Installing.mp4
    00:57
  • 5. Shorthand API.mp4
    01:26
  • 6. Basic Shorthand API.mp4
    03:47
  • 7. Additional Examples of the Basic API.mp4
    02:56
  • 8. Longhand API.mp4
    03:38
  • 9. Longhand Overview.mp4
    01:37
  • 10. Data Type.mp4
    01:26
  • 11. Type Viz Alterations.mp4
    01:24
  • 12. Concat Charts.mp4
    02:33
  • 13. Faceting.mp4
    01:22
  • 14. layers.mp4
    02:13
  • 15. Multiple Chart Summary.mp4
    00:58
  • 16. Amazon Data Set.mp4
    02:52
  • 17. Amazon Authors.mp4
    05:19
  • 18. Reference Examples.mp4
    01:09
  • 19. Conclusion.mp4
    01:18
  • 1. Introduction To plotly.mp4
    00:34
  • 2. OverView.mp4
    01:06
  • 3. API Intro.mp4
    01:08
  • 4. Installing.mp4
    00:53
  • 5. Basic Plotting.mp4
    03:03
  • 6. Customizing Map.mp4
    02:42
  • 7. Additional Plot Types.mp4
    03:42
  • 8. API Overview.mp4
    01:33
  • 9. Scatter Plots.mp4
    03:17
  • 10. Line Bar Area.mp4
    02:38
  • 11. Regression treemap Heatmap.mp4
    04:53
  • 12. Facetting.mp4
    03:22
  • 13. Annotations.mp4
    02:42
  • 14. Annotation Summary.mp4
    00:50
  • 15. Conclusion.mp4
    01:10
  • 1. introduction to Streamlit.mp4
    00:31
  • 2. Background.mp4
    00:57
  • 3. Installation.mp4
    00:56
  • 4. Basic App Concept.mp4
    00:58
  • 5. Simple App Example.mp4
    02:32
  • 6. Streamlit Running overview.mp4
    02:06
  • 7. API Summary.mp4
    01:32
  • 8. Widget Summary.mp4
    02:43
  • 9. Widget Interactivity.mp4
    01:13
  • 10. User input.mp4
    02:33
  • 11. Show Charts.mp4
    03:00
  • 12. Sidebar Intros.mp4
    02:43
  • 13. Sidebar Detail.mp4
    02:29
  • 14. Conclusion.mp4
    01:09
  • 1. Introduction to Dash.mp4
    00:34
  • 2. Overview.mp4
    00:46
  • 3. Why Dash.mp4
    00:54
  • 4. Getting Started.mp4
    00:34
  • 5. Program Structure.mp4
    01:02
  • 6. First App.mp4
    02:48
  • 7. Running App.mp4
    02:19
  • 8. Component Overview.mp4
    01:39
  • 9. HTML.mp4
    03:42
  • 10. interactive App.mp4
    03:40
  • 11. interactive App Demo.mp4
    01:47
  • 12. Callback reference.mp4
    00:41
  • 13. Final App Overview.mp4
    00:40
  • 14. Full app Part.mp4
    03:32
  • 15. Full App data filtering.mp4
    04:27
  • 16. Full App Demo.mp4
    02:12
  • 17. Advance Topics.mp4
    00:57
  • 18. Conclusion.mp4
    01:22
  • 1. Course review.mp4
    01:14
  • 2. Objectives.mp4
    01:13
  • 3. Data Vis Concepts.mp4
    01:03
  • 4. Matplotlib.mp4
    01:23
  • 5. pandas.mp4
    00:59
  • 6. Seaborn.mp4
    01:11
  • 7. Altair.mp4
    01:07
  • 8. Plotly.mp4
    00:47
  • 9. Streamlit.mp4
    00:49
  • 10. Dash.mp4
    00:57
  • 11. My Workflow.mp4
    01:06
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    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 142
    • duration 4:32:21
    • Release Date 2023/04/06

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