[FreeCoursesOnline.Me] TalkPython - Python Data Visualization Course

[FreeCoursesOnline.Me] TalkPython - Python Data Visualization Course

Other
Size
776 MB
Seeders
22
Leechers
1
Files
97
Category
Other
Added
01/25/23 at 10:38pm GMT+1
Infohash
3a54bf9901317b2f2f1d4fb682f6bafa560d4a05

Description
Lynda and other Courses >>> https://freecoursesonline.me/

Forum for discussion >>> https://onehack.us/







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



Image error

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

Rating
Not rated yet
Log in to rate

Comments

No comments yet.


Similar torrents
NameSizeDate
2.3 GB12/10/22466
3.2 GB12/12/22443
1.8 GB12/19/22434
136 MB03/15/23401
6.9 GB01/07/23396
1.3 GB12/06/22374
6.7 GB11/12/18354
3.5 GB12/08/22359
784 MB12/24/22342
839 MB07/13/23332
1.7 GB01/27/24335
1.8 GB12/29/22325
442 MB02/25/24321
26.9 GB12/25/223013
939 MB12/21/22292