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TalkPython | Python Data Visualization Course [FCO]
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TalkPython - Python Data Visualization Course [FCO]

About

Have you ever been confused by all the different python plotting libraries? Have you tried to make a "simple" plot and gotten stuck and been unable to move forward? Do you want to make sophisticated, interactive data visualizations in python? If you answer yes, to any of these questions, then this course is for you.

Source code and course GitHub repository: github.com/talkpython/python-data-visualization

What's this course about and how is it different?

The python data visualization landscape has many different libraries. They are all powerful and useful but it can be confusing to determine what works best for you. This course is unique because you will learn about many of the most popular python visualization libraries. You will start by learning how to use each library to build simple visualizations. You will also explore more complex usage and identify the scenarios where each library shines.

By the end of this course, you will have a basic working knowledge of how to visualize data in python using multiple libraries. You will also learn which library is best for you and your coding style. Along the way, you'll learn general visualization concepts to make your plots more effective.

In addition to the overview material, we will cover some of the more complex, interactive visualization dashboard technologies.

What topics are covered

In this course, you will:

- Review the python visualization landscape
- Explore core visualization concepts
- Use matplotlib to build and customize visualizations
- Build and customize simple plots with pandas
- Learn about seaborn and use it for statistical visualizations
- Create visualizations using Altair
- Generate interactive plots using the Plotly library
- Design interactive dashboards using Streamlit
- Construct highly custom and flexible dashboards using Plotly's Dash framework

Who is this course for?

Developers and Data Analysts that have some experience with python but have not developed a competency in a python visualization library. This course is also helpful for those that feel restricted by their current plotting tools and wish to explore other options.

Note: All software used during this course, including editors, Python language, etc., are 100% free and open source. You won't have to buy anything to take the course.

Instructor(s)

Hi, I'm Chris Moffitt. I am passionate about finding ways to use the power of Python to be more efficient and effective in a business setting. I've been using Python for over 15 years to solve a variety of real-world problems for everything from web development to system administration and most recently data science.

General Info:

Author(s): Chris Moffitt
Language: English
Updated: 2023
Videos Duration: 4.6h
Course Source: https://training.talkpython.fm/courses/python-data-visualization

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Ch 1. Welcome to the course/1 View Lecture Motivation.mp41.14 MiB
Ch 1. Welcome to the course/10 View Lecture Meet your instructor.mp42.61 MiB
Ch 1. Welcome to the course/2 View Lecture Statistics aren't enough.mp42.05 MiB
Ch 1. Welcome to the course/3 View Lecture Why visualize data.mp41.94 MiB
Ch 1. Welcome to the course/4 View Lecture Why Python.mp41.8 MiB
Ch 1. Welcome to the course/5 View Lecture Python visualization ecosystem.mp41.7 MiB
Ch 1. Welcome to the course/6 View Lecture Course objectives.mp42.37 MiB
Ch 1. Welcome to the course/7 View Lecture Topic outline.mp42.14 MiB
Ch 1. Welcome to the course/8 View Lecture Python check.mp42.35 MiB
Ch 1. Welcome to the course/9 View Lecture Source code.mp41.03 MiB
Ch 10. Course Conclusion/1 View Lecture Course review.mp44.16 MiB
Ch 10. Course Conclusion/10 View Lecture Dash.mp42.41 MiB
Ch 10. Course Conclusion/11 View Lecture My workflow.mp42.75 MiB
Ch 10. Course Conclusion/12 View Lecture Thank you.mp42.03 MiB
Ch 10. Course Conclusion/2 View Lecture Objectives.mp43.36 MiB
Ch 10. Course Conclusion/3 View Lecture Data vis concepts.mp42.11 MiB
Ch 10. Course Conclusion/4 View Lecture Matplotlib.mp43.42 MiB
Ch 10. Course Conclusion/5 View Lecture Pandas.mp42.13 MiB
Ch 10. Course Conclusion/6 View Lecture Seaborn.mp42.91 MiB
Ch 10. Course Conclusion/7 View Lecture Altair.mp42.76 MiB
Ch 10. Course Conclusion/8 View Lecture Plotly.mp41.76 MiB
Ch 10. Course Conclusion/9 View Lecture Streamlit.mp41.97 MiB
Ch 2. Visualization Concepts/1 View Lecture Intro to Visualization concepts.mp42.96 MiB
Ch 2. Visualization Concepts/2 View Lecture Aesthetics.mp42.63 MiB
Ch 2. Visualization Concepts/3 View Lecture Data types.mp41.73 MiB
Ch 2. Visualization Concepts/4 View Lecture Visualization variables.mp42.44 MiB
Ch 2. Visualization Concepts/5 View Lecture Colors.mp42.69 MiB
Ch 2. Visualization Concepts/6 View Lecture Small multiple plots.mp42.56 MiB
Ch 2. Visualization Concepts/7 View Lecture Analysis types.mp42.66 MiB
Ch 2. Visualization Concepts/8 View Lecture Working with data.mp42.59 MiB
Ch 3. Matplotlib/1 View Lecture Matplotlib introduction.mp41.08 MiB
Ch 3. Matplotlib/10 View Lecture Pyplot example.mp44.67 MiB
Ch 3. Matplotlib/11 View Lecture Object Oriented API.mp411.87 MiB
Ch 3. Matplotlib/12 View Lecture Histograms.mp47.03 MiB
Ch 3. Matplotlib/13 View Lecture Figures and Axes.mp412.67 MiB
Ch 3. Matplotlib/14 View Lecture Saving images.mp44.63 MiB
Ch 3. Matplotlib/15 View Lecture Quick reference.mp42.21 MiB
Ch 3. Matplotlib/16 View Lecture Line plots.mp49.68 MiB
Ch 3. Matplotlib/17 View Lecture Bar charts.mp45.32 MiB
Ch 3. Matplotlib/18 View Lecture Scatter plots.mp417.16 MiB
Ch 3. Matplotlib/19 View Lecture Styles.mp410.77 MiB
Ch 3. Matplotlib/2 View Lecture Matplotlib history.mp42.8 MiB
Ch 3. Matplotlib/20 View Lecture Regression.mp49.57 MiB
Ch 3. Matplotlib/21 View Lecture Customizing multiple plots.mp49.74 MiB
Ch 3. Matplotlib/22 View Lecture References.mp44.9 MiB
Ch 3. Matplotlib/23 View Lecture Summary.mp44.31 MiB
Ch 3. Matplotlib/3 View Lecture Matplotlib landscape.mp42.16 MiB
Ch 3. Matplotlib/4 View Lecture System setup.mp45.71 MiB
Ch 3. Matplotlib/5 View Lecture Data set.mp44.31 MiB
Ch 3. Matplotlib/6 View Lecture Figure overview.mp42.57 MiB
Ch 3. Matplotlib/7 View Lecture Interface types.mp43.43 MiB
Ch 3. Matplotlib/8 View Lecture Launching notebooks.mp42.89 MiB
Ch 3. Matplotlib/9 View Lecture Reading data.mp44.6 MiB
Ch 4. Pandas/1 View Lecture Pandas introduction.mp4943.14 KiB
Ch 4. Pandas/2 View Lecture Pandas overview.mp42.47 MiB
Ch 4. Pandas/3 View Lecture API overview.mp43.07 MiB
Ch 4. Pandas/4 View Lecture Basic API examples.mp416.28 MiB
Ch 4. Pandas/5 View Lecture API summary.mp42.38 MiB
Ch 4. Pandas/6 View Lecture Specialized hist and boxplot API.mp42.24 MiB
Ch 4. Pandas/7 View Lecture Advanced specialized plots.mp419.79 MiB
Ch 4. Pandas/8 View Lecture Advanced plot summary.mp42.66 MiB
Ch 4. Pandas/9 View Lecture Pandas conclusion.mp42.5 MiB
Ch 5. Seaborn/1 View Lecture Introduction to Seaborn.mp41.09 MiB
Ch 5. Seaborn/10 View Lecture Displot relplot and facetting.mp414.18 MiB
Ch 5. Seaborn/11 View Lecture Catplot API summary.mp412.15 MiB
Ch 5. Seaborn/12 View Lecture Specialized plots.mp42.18 MiB
Ch 5. Seaborn/13 View Lecture Heatmap.mp411.23 MiB
Ch 5. Seaborn/14 View Lecture Pair and jointplot.mp424.86 MiB
Ch 5. Seaborn/15 View Lecture Customizing Seaborn summary.mp42.92 MiB
Ch 5. Seaborn/16 View Lecture Seaborn summary.mp42.97 MiB
Ch 5. Seaborn/2 View Lecture Seaborn overview.mp44.59 MiB
Ch 5. Seaborn/3 View Lecture Getting started.mp41.76 MiB
Ch 5. Seaborn/4 View Lecture Figure and axes level plots.mp43.83 MiB
Ch 5. Seaborn/5 View Lecture Data set changes.mp44.74 MiB
Ch 5. Seaborn/6 View Lecture Displot.mp410.86 MiB
Ch 5. Seaborn/7 View Lecture Catplot.mp48.56 MiB
Ch 5. Seaborn/8 View Lecture Relplot.mp44.75 MiB
Ch 5. Seaborn/9 View Lecture Seaborn API summary.mp42.56 MiB
Ch 6. Altair/1 View Lecture Introduction to Altair.mp41.56 MiB
Ch 6. Altair/10 View Lecture Data type.mp42.73 MiB
Ch 6. Altair/11 View Lecture Types viz alterations.mp43.54 MiB
Ch 6. Altair/12 View Lecture Concat charts.mp47.68 MiB
Ch 6. Altair/13 View Lecture Faceting.mp46.6 MiB
Ch 6. Altair/14 View Lecture Layers.mp46.3 MiB
Ch 6. Altair/15 View Lecture Multiple chart summary.mp41.91 MiB
Ch 6. Altair/16 View Lecture Amazon data set.mp46.82 MiB
Ch 6. Altair/17 View Lecture Amazon authors.mp419.44 MiB
Ch 6. Altair/18 View Lecture Reference example.mp42.9 MiB
Ch 6. Altair/19 View Lecture Conclusion.mp43.04 MiB
Ch 6. Altair/2 View Lecture Overview.mp42.75 MiB
Ch 6. Altair/3 View Lecture Vega lite.mp42.71 MiB
Ch 6. Altair/4 View Lecture Installing.mp41.97 MiB
Ch 6. Altair/5 View Lecture Shorthand API.mp42.97 MiB
Ch 6. Altair/6 View Lecture Basic shorthand API.mp414.56 MiB
Ch 6. Altair/7 View Lecture Additional examples of the basic API.mp47.44 MiB
Ch 6. Altair/8 View Lecture Longhand API.mp412.03 MiB
Ch 6. Altair/9 View Lecture Longhand overview.mp43.19 MiB
Ch 7. Plotly/1 View Lecture Introduction to Plotly.mp41.3 MiB
Ch 7. Plotly/10 View Lecture Line bar area.mp49.34 MiB
Ch 7. Plotly/11 View Lecture Regression treemap heatmap.mp418.78 MiB
Ch 7. Plotly/12 View Lecture Facetting.mp411.98 MiB
Ch 7. Plotly/13 View Lecture Annotations.mp48.12 MiB
Ch 7. Plotly/14 View Lecture Annotation summary.mp42.33 MiB
Ch 7. Plotly/15 View Lecture Conclusion-1.mp42.84 MiB
Ch 7. Plotly/2 View Lecture Overview-1.mp43.02 MiB
Ch 7. Plotly/3 View Lecture API intro.mp42.18 MiB
Ch 7. Plotly/4 View Lecture Installing-1.mp41.65 MiB
Ch 7. Plotly/5 View Lecture Basic plotting.mp47.92 MiB
Ch 7. Plotly/6 View Lecture Customizing.mp410.99 MiB
Ch 7. Plotly/7 View Lecture Additional plot types.mp412.01 MiB
Ch 7. Plotly/8 View Lecture API overview-1.mp43.57 MiB
Ch 7. Plotly/9 View Lecture Scatter plots.mp412.87 MiB
Ch 8. Streamlit/1 View Lecture Introduction.mp41.23 MiB
Ch 8. Streamlit/10 View Lecture User input.mp49.19 MiB
Ch 8. Streamlit/11 View Lecture Show charts.mp413.5 MiB
Ch 8. Streamlit/12 View Lecture Sidebar intro.mp48.33 MiB
Ch 8. Streamlit/13 View Lecture Sidebar details.mp49.31 MiB
Ch 8. Streamlit/14 View Lecture Conclusion-2.mp42.54 MiB
Ch 8. Streamlit/2 View Lecture Background.mp42.64 MiB
Ch 8. Streamlit/3 View Lecture Installation.mp41.87 MiB
Ch 8. Streamlit/4 View Lecture Basic app concepts.mp42.2 MiB
Ch 8. Streamlit/5 View Lecture Simple app example.mp46.45 MiB
Ch 8. Streamlit/6 View Lecture Streamlit running overview.mp45.41 MiB
Ch 8. Streamlit/7 View Lecture API summary-1.mp43.99 MiB
Ch 8. Streamlit/8 View Lecture Widget Intro.mp47.57 MiB
Ch 8. Streamlit/9 View Lecture Widget interactivity.mp42.23 MiB
Ch 9. Dash/1 View Lecture Intro.mp41.27 MiB
Ch 9. Dash/10 View Lecture Interactive app.mp49.61 MiB
Ch 9. Dash/11 View Lecture Interactive app demo.mp46.75 MiB
Ch 9. Dash/12 View Lecture Callback reference.mp41.71 MiB
Ch 9. Dash/13 View Lecture Final app overview.mp41.53 MiB
Ch 9. Dash/14 View Lecture Full app part 1.mp410.62 MiB
Ch 9. Dash/15 View Lecture Full app data filtering.mp414.37 MiB
Ch 9. Dash/16 View Lecture Full app demo.mp410.97 MiB
Ch 9. Dash/17 View Lecture Advanced topics.mp44.01 MiB
Ch 9. Dash/18 View Lecture Conclusion-3.mp43.13 MiB
Ch 9. Dash/2 View Lecture Overview-2.mp41.86 MiB
Ch 9. Dash/3 View Lecture Why Dash.mp42.39 MiB
Ch 9. Dash/4 View Lecture Getting started-1.mp4977.79 KiB
Ch 9. Dash/5 View Lecture Program structure.mp42.63 MiB
Ch 9. Dash/6 View Lecture First app.mp45.66 MiB
Ch 9. Dash/7 View Lecture Running app.mp46.84 MiB
Ch 9. Dash/8 View Lecture Component overview.mp43.68 MiB
Ch 9. Dash/9 View Lecture HTML.mp411.81 MiB
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