Data Visualization in Python (Mplib, Seaborn, Plotly, Dash)

Master data visualization in Python with the matplotlib, seaborn, plotly and dash libraries.

4.85 (53 reviews)
Udemy
platform
English
language
Data Science
category
Data Visualization in Python (Mplib, Seaborn, Plotly, Dash)
542
students
7 hours
content
Jan 2024
last update
$74.99
regular price

What you will learn

Explore data sets visually in Python.

Create web interfaces to visually present results.

Master the most important Python data visualization libraries (matplotlib, seaborn, plotly and dash).

Synthesize data sets for presentation to non-technical audiences.

Why take this course?

Learn how to synthesize complex data sets easily in a visual way. In this course, you will develop this basic data science skill (data visualization) by exploring real data sets with the most popular Python tools (matplotlib, seaborn, plotly, and dash). You will learn how to extract the most relevant information from data and present it with a variety of graphs and charts to non-technical people.


Learn how to extract visual knowledge from complex data for decision-making with Python.


- Master the main visualization libraries in Python for Data Science.

- Discover and extract the most important knowledge from complex data.

- Learn to build web interfaces with charts to present important results to a wider audience.


Master a basic data science skill.


In the course, you will explore 8 different datasets. You will learn to understand their content and answer questions by building a variety of graphs, basic and advanced. This is a basic data science skill as data science professionals analyze and model data to assist decision-making and solve complex problems. Data visualization is a fundamental part of this process, guiding the data scientist's analysis and presenting the results in a way that people with diverse profiles can understand.

For the presentation of results, we will create a web interface with the plotly library that will show in real-time the most relevant information of a web page: visits, user types, session duration, purchases, etc.

At the end of the course, you will master all these tools fluently and will be able to visually analyze your own datasets and extract the most relevant information from them.

Screenshots

Data Visualization in Python (Mplib, Seaborn, Plotly, Dash) - Screenshot_01Data Visualization in Python (Mplib, Seaborn, Plotly, Dash) - Screenshot_02Data Visualization in Python (Mplib, Seaborn, Plotly, Dash) - Screenshot_03Data Visualization in Python (Mplib, Seaborn, Plotly, Dash) - Screenshot_04

Reviews

Abdelghafour
August 8, 2023
I'm disappointed. We don't have access to the necessary materials. The only resource provided is an empty Jupyter notebook. Please be aware.
Lukas
March 5, 2023
This course overall is great, but I would say it's rather long and many concepts are repeated and shown multiple times. I would welcome more compact course.
John
September 29, 2022
I liked the brief sections on matplotlib and seaborn and providing a exploring the data utilizing the respective plots. The biggest value is in the plotly and dash sections. I knew plotly was interactive, but had no idea you could insert plots into making a dashboard full of plotly derived plots and graphs.
Kate
December 4, 2021
Great course, I received a very full introduction to using python for data analytics, will be a great reference for the future.

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4390972
udemy ID
11/10/2021
course created date
11/16/2021
course indexed date
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