TalkPython | Python Data Visualization Course [FCO]

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size776.1 MB
  • Uploaded BySunRiseZone
  • Downloads33
  • Last checkedJan. 26th '23
  • Date uploadedJan. 26th '23
  • Seeders 28
  • Leechers21
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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

Files:

[FreeCoursesOnline.Me] TalkPython - Python Data Visualization Course 0. Websites you may like
  • 1. Get Free Premium Accounts Daily On Our Discord Server!.txt (1.3 KB)
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Ch 1. Welcome to the course
  • 1 View Lecture Motivation.mp4 (1.1 MB)
  • 10 View Lecture Meet your instructor.mp4 (2.6 MB)
  • 2 View Lecture Statistics aren't enough.mp4 (2.0 MB)
  • 3 View Lecture Why visualize data.mp4 (1.9 MB)
  • 4 View Lecture Why Python.mp4 (1.8 MB)
  • 5 View Lecture Python visualization ecosystem.mp4 (1.7 MB)
  • 6 View Lecture Course objectives.mp4 (2.4 MB)
  • 7 View Lecture Topic outline.mp4 (2.1 MB)
  • 8 View Lecture Python check.mp4 (2.4 MB)
  • 9 View Lecture Source code.mp4 (1.0 MB)
Ch 10. Course Conclusion
  • 1 View Lecture Course review.mp4 (4.2 MB)
  • 10 View Lecture Dash.mp4 (2.4 MB)
  • 11 View Lecture My workflow.mp4 (2.8 MB)
  • 12 View Lecture Thank you.mp4 (2.0 MB)
  • 2 View Lecture Objectives.mp4 (3.4 MB)
  • 3 View Lecture Data vis concepts.mp4 (2.1 MB)
  • 4 View Lecture Matplotlib.mp4 (3.4 MB)
  • 5 View Lecture Pandas.mp4 (2.1 MB)
  • 6 View Lecture Seaborn.mp4 (2.9 MB)
  • 7 View Lecture Altair.mp4 (2.8 MB)
  • 8 View Lecture Plotly.mp4 (1.8 MB)
  • 9 View Lecture Streamlit.mp4 (2.0 MB)
Ch 2. Visualization Concepts
  • 1 View Lecture Intro to Visualization concepts.mp4 (3.0 MB)
  • 2 View Lecture Aesthetics.mp4 (2.6 MB)
  • 3 View Lecture Data types.mp4 (1.7 MB)
  • 4 View Lecture Visualization variables.mp4 (2.4 MB)
  • 5 View Lecture Colors.mp4 (2.7 MB)
  • 6 View Lecture Small multiple plots.mp4 (2.6 MB)
  • 7 View Lecture Analysis types.mp4 (2.7 MB)
  • 8 View Lecture Working with data.mp4 (2.6 MB)
Ch 3. Matplotlib
  • 1 View Lecture Matplotlib introduction.mp4 (1.1 MB)
  • 10 View Lecture Pyplot example.mp4 (4.7 MB)
  • 11 View Lecture Object Oriented API.mp4 (11.9 MB)
  • 12 View Lecture Histograms.mp4 (7.0 MB)
  • 13 View Lecture Figures and Axes.mp4 (12.7 MB)
  • 14 View Lecture Saving images.mp4 (4.6 MB)
  • 15 View Lecture Quick reference.mp4 (2.2 MB)
  • 16 View Lecture Line plots.mp4 (9.7 MB)
  • 17 View Lecture Bar charts.mp4 (5.3 MB)
  • 18 View Lecture Scatter plots.mp4 (17.2 MB)
  • 19 View Lecture Styles.mp4 (10.8 MB)
  • 2 View Lecture Matplotlib history.mp4 (2.8 MB)
  • 20 View Lecture Regression.mp4 (9.6 MB)
  • 21 View Lecture Customizing multiple plots.mp4 (9.7 MB)
  • 22 View Lecture References.mp4 (4.9 MB)
  • 23 View Lecture Summary.mp4 (4.3 MB)
  • 3 View Lecture Matplotlib landscape.mp4 (2.2 MB)
  • 4 View Lecture System setup.mp4 (5.7 MB)
  • 5 View Lecture Data set.mp4 (4.3 MB)
  • 6 View Lecture Figure overview.mp4 (2.6 MB)
  • 7 View Lecture Interface types.mp4 (3.4 MB)
  • 8 View Lecture Launching notebooks.mp4 (2.9 MB)
  • 9 View Lecture Reading data.mp4 (4.6 MB)
Ch 4. Pandas
  • 1 View Lecture Pandas introduction.mp4 (943.1 KB)
  • 2 View Lecture Pandas overview.mp4 (2.5 MB)
  • 3 View Lecture API overview.mp4 (3.1 MB)
  • 4 View Lecture Basic API examples.mp4 (16.3 MB)
  • 5 View Lecture API summary.mp4 (2.4 MB)
  • 6 View Lecture Specialized hist and boxplot API.mp4 (2.2 MB)
  • 7 View Lecture Advanced specialized plots.mp4 (19.8 MB)
  • 8 View Lecture Advanced plot summary.mp4 (2.7 MB)
  • 9 View Lecture Pandas conclusion.mp4 (2.5 MB)
Ch 5. Seaborn
  • 1 View Lecture Introduction to Seaborn.mp4 (1.1 MB)
  • 10 View Lecture Displot relplot and facetting.mp4 (14.2 MB)
  • 11 View Lecture Catplot API summary.mp4 (12.1 MB)
  • 12 View Lecture Specialized plots.mp4 (2.2 MB)
  • 13 View Lecture Heatmap.mp4 (11.2 MB)
  • 14 View Lecture Pair and jointplot.mp4 (24.9 MB)
  • 15 View Lecture Customizing Seaborn summary.mp4 (2.9 MB)
  • 16 View Lecture Seaborn summary.mp4 (3.0 MB)
  • 2 View Lecture Seaborn overview.mp4 (4.6 MB)
  • 3 View Lecture Getting started.mp4 (1.8 MB)
  • 4 View Lecture Figure and axes level plots.mp4 (3.8 MB)
  • 5 View Lecture Data set changes.mp4 (4.7 MB)
  • 6 View Lecture Displot.mp4 (10.9 MB)
  • 7 View Lecture Catplot.mp4 (8.6 MB)
  • 8 View Lecture Relplot.mp4 (4.8 MB)
  • 9 View Lecture Seaborn API summary.mp4 (2.6 MB)
Ch 6. Altair
  • 1 View Lecture Introduction to Altair.mp4 (1.6 MB)
  • 10 View Lecture Data type.mp4 (2.7 MB)
  • 11 View Lecture Types viz alterations.mp4 (3.5 MB)
  • 12 View Lecture Concat charts.mp4 (7.7 MB)
  • 13 View Lecture Faceting.mp4 (6.6 MB)
  • 14 View Lecture Layers.mp4 (6.3 MB)
  • 15 View Lecture Multiple chart summary.mp4 (1.9 MB)
  • 16 View Lecture Amazon data set.mp4 (6.8 MB)
  • 17 View Lecture Amazon authors.mp4 (19.4 MB)
  • 18 View Lecture Reference example.mp4 (2.9 MB)
  • 19 View Lecture Conclusion.mp4 (3.0 MB)
  • 2 View Lecture Overview.mp4 (2.7 MB)
  • 3 View Lecture Vega lite.mp4 (2.7 MB)
  • 4 View Lecture Installing.mp4 (2.0 MB)
  • 5 View Lecture Shorthand API.mp4 (3.0 MB)
  • 6 View Lecture Basic shorthand API.mp4 (14.6 MB)
  • 7 View Lecture Additional examples of the basic API.mp4 (7.4 MB)
  • 8 View Lecture Longhand API.mp4 (12.0 MB)
  • 9 View Lecture Longhand overview.mp4 (3.2 MB)
Ch 7. Plotly
  • 1 View Lecture Introduction to Plotly.mp4 (1.3 MB)
  • 10 View Lecture Line bar area.mp4 (9.3 MB)
  • 11 View Lecture Regression treemap heatmap.mp4 (18.8 MB)
  • 12 View Lecture Facetting.mp4 (12.0 MB)
  • 13 View Lecture Annotations.mp4 (8.

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