Best Python Data Visualization Courses Online & Certification (April 2024)

  • Post last modified:31 May 2023
  • Reading time:56 mins read
  • Post category:Best Online Course
Coursera 7-Day Trail offer

Data Analysis has the main purpose of getting insights and finding patterns in data. But to see those patterns to interpret the story and tell the data story to others, you need to learn about data visualization. If you know about Data Analysis, you could think of taking the compiled list of Best Python Data Visualization Courses to get additional expertise as a data analyst.

Best Python Data Visualization Courses
Best Python Data Visualization Courses

Why should you learn Python for Data Visualization?

The main goal of these courses is to tell you how Data visualization and Data Analysis are getting important in the IT industry. Thousands of data analysts job vacancies are available in banking, financial services, insurance, and e-commerce. 

According to LinkedIn,  there are currently 252000+ data analyst jobs available, which will open new gates to build successful careers. The average annual salary of $78,233 as per Glassdoor.
These sectors are looking for talented people in data science, machine learning, and analysis. I have prepared a well-researched list of the Best Python for Data Visualization Courses to check and try out.

Our product recommendations are unbiased and based on an independent review process. We may receive a commission for links to recommended partners. See our advertiser disclosure for more information.

Best Python Data Visualization Courses, Certification, Tutorials, Training, Classes Online

Data Visualization with Python from IBM [Coursera]

Data Visualization means getting insights from analyzing large data sets. This Python Data Visualization Course will enable you to extract information, understand the generated data, and use them to make better decisions. You will learn how to leverage a software tool to visualize the data. This IBM Python Data Visualization Course will teach how to take data at first glance and present the data more sensibly.

Course Instructor

Saishruti Swaminathan is a data scientist who created this Data visualization with Python course to learn about Python libraries such as Matplotlib, seaborn, and Folium to present data visually. It is also a part of the IBM specialization program that enables you to take other courses.

What You’ll Learn

This Online Data Visualization with Python Course’s Syllabus is divided into 4 modules, namely: 

  1. Introduction to Data Visualization Tools: This module will introduce you to basic plotting with Matplotlib.

  2. Basic Visualization Tools: This module will teach how to create area plots, histograms, bar charts, pie charts, box plots, scatter plots and bubble plots using Matplotlib.

  3. Advanced Data Visualization: In this module, you will explore advanced visualization tools such as waffle charts and word clouds.

  4. Creating Dashboards with Plotly and Dash: The purpose of this lesson is to show you how to create dashboards using the Plotly library.
  5. Final Project: This module is all about completing your final lab assignment, which analyzes the flight reliability of the reporting airline to improve customer satisfaction. 

Pros & Cons


  • Experienced instructor
  • Get access to quizzes and projects
  • Certificate on Completion
  • Financial Aid Available


  • Prior knowledge of Python

Key Highlights & USPs

  • Introduce you to Data Visualization tools such as Matplotlib to do basic plotting and manipulate the Data Frames.

  • Learn to use Matplotlib for creating plots, histograms, pie charts, and bar graphs.

  • How to use Seaborn to generate attractive regression plots.

  • Create maps of different regions of the world using the Folium Python Library.

  • Build dashboards using Plotly and Dash concepts for data visualization.

  • In the end, you will be assigned a real-world project to analyze the performance as a data analyst.

  • Get unlimited access to 19 quizzes, 13 reading assignments, and 22 videos for enhancing the skill.

Who is it for?

This Data Visualization with Python Course is for intermediate with previous experience as Python programmers. After completing this training course, you will be able to create your own dashboards for analyzing and visualizing datasets using Python libraries. Also, you can use the certificate to upgrade your resume or get new projects.

Rating: 4.5/5
Students Enrolled: 130,730
Duration: 21 Hours

Coursera 7-Day Trail offer

Visualize Data with Python [edX]

edX will introduce you to how to visualize data with Python. Data Visualization is the concept of representing the data in graphs, plots, and histograms. The Data scientists have adapted visualization to convey the data story to clients, customers, and stakeholders for making business decisions efficiently. In this Visualize with Python Course, You will learn the basics of Data Visualization and how the Python package Matplotlib is used. You get to know how Matplotlib is used for building plots to visualize the Data.

Course Instructor

Three excellent data scientists at IBM -Joseph Santarcangelo, Sai Shruti Swaminathan, and Alex Alson created this Edx Data Visualization Course. They will help you to grasp basic and advanced visualization concepts. It will teach how to use visualization tools in real-world case studies. In the end, you will be able to visualize the data using Python.

Key Highlights & USPs

  • This Python Data Visualization Online Tutorial comprises 5 modules to help learning how to use visualization tools for insights and present them to clients.
    • Introduction 
    • Basic visualization tools
    • Specialized visualization tools
    • Advanced tools of visualization
    • Creating maps and visualizing geospatial data

  • Learn about Python libraries such as Matplotlib, Seaborn, and Folium for data visualization.

  • How to present data using basic plotting with Matplotlib.

  • Develop knowledge of using graphical representations including area plots, histograms, and bar charts as basic visualization tools.

  • How to use specialized visualization tools including pie charts, box plots, scatter plots, and bubble plots.

  • Learn about Seaborn and Regression plots, waffle charts, and word clouds for Data Visualization Plots.

  • Create maps and visualize geospatial data using Pytho’s Folium Library.

Who is it for?

This IBM Professional Data Visualization with python Certificate Program is designed for data scientists and analysts to enhance their Python skills. In case you don’t, you can check the list of the best Python for data analysis.  By completing this tutorial, you will learn how to create graphical representations to convey insights interactively and efficiently to clients, customers, and stakeholders.

Rating: 4.5/5
Students Enrolled: 52, 001
Duration: 5 weeks

Learn Python for Data Analysis and Visualization [Udemy]

This Python for Data Analysis and Visualization Course offers you the resources to learn Python and use it for data analyzing and visualizations. It will develop a better understanding of how to program in Python and use libraries. You get to build modules to manipulate data arrays using Python libraries such as Numpy and Pandas. Python is a simple language for data Visualization. You get to know visualization tools to create and structure data.

Course Instructor

Jose Portilla has prepared this Udemy Python Data Analysis to give an insight into present data trends and visualize them to solve real-world problems. It will introduce powerful Python libraries: NumPy, Pandas, Seaborn, and Matplotlib. You get to learn with the best instructor and get a deep knowledge of Python.

Key Highlights & USPs

  • This Udemy Python for Data Analysis course consists of 15 sections and 110 lectures to get a full understanding of Python and how to use its libraries for data visualization.

  • Develop an intermediate-level skill in Python programming.

  • Learn to create and manipulate arrays using Numpy.

  • Get to work with different data formats within Python including JSON, HTML, and Excel.

  • Install Jupyter Notebooks and analyze large datasets.

  • Create dashboards for data visualizations using Matplotlib and Seaborn libraries.

  • Get lifetime access to 100 example python code notebooks, 3 articles, 4 downloadable resources, and hours of video lectures.

Pros & Cons


  • Excellent instructor
  • Certificate on Completion


  • Need content update

Who is it for?

This most recommended Python for Data Visualization Course is for beginners and professionals who want to dive into the world of Data Analysis and experience the expanding world of Data Science. As soon as you finish the course, you can practice data analysis projects on various types of data in order to prepare yourself for the future.

Rating: 4.4/5
Students Enrolled: 176,548
Duration: 21 Hours

Introduction to Data Visualization with Matplotlib [DataCamp]

You are going to learn complex data visualization using Matplotlib in this Datacamp Python Data Visualization Course. If you are familiar with Python and its advantages, this course helps you to extend your knowledge. It provides a strong foundation of how Python libraries – Matplotlib and Seaborn are used for statistical and data analysis. This Data Visualization in Python Course covers topics including customizing graphics, plotting, statistical graphics, and time-series data.

Course Instructor

Team Anaconda created this data science training program to do Python in the easiest and fastest way. It will teach you how to work with real-world datasets and analyze them to create visually sensible data. Data visualization has the power to make sense of data and get insights to improve business performance.

Pros & Cons


  • Get hands-on experience
  • Certificate on Completion


  • Challenging for beginners

Key Highlights & USPs

  • Learn to customize plots using Matplotlib and how to use, present, and plot 2D arrays for representing two-variable functions.

  • Understand how to produce statistical graphics using the Seaborn plotting library.

  • Analyze time-series data and images in order to gain skills in data analysis.

  • As a student, you will be given the opportunity to participate in three hands-on projects inspired by real-world trends.

  • Enjoy unlimited access to 14 videos, 53 practice exercises, and 4 hours of on-demand video.

Who is it for?

This Data Visualization Python training are for beginners, professionals, and Python developers who want to gain more skill and learn concepts with experts from data science. However, you should have knowledge of Data Analysis to take any course from the list. If you don’t have any previous experience, check the list of Best Data analysis courses to expand your knowledge now!

Rating: 4.4/5
Students Enrolled: 141,269
Duration: 4 Hours

50% OFF Datacamp
Offer till 1st Feb

Data Visualization with Python: The Complete Guide [Udemy]

Udemy provides you the complete guide to learn Data visualization using Python. You will get started with the concepts of Data Science. Data Science is the field that deals with the amount of data generated every single minute by collecting, sorting, organizing, and analyzing them. You will also understand how Python gained importance in the Data Science industry and how its libraries are helpful for statistical analysis and data analysis. This Udemy python course will teach you some advanced concepts such as data clustering, hypothesis gradient descent, and advanced data visualizations.

Course Instructor

Edunoix tech has created this Udemy Data Science Course as an introduction to Data science that covers all the topics Data Analysis, Python libraries, Linear Algebra and probability, Data visualization of non-uniform data. You get to learn interesting things in this best data science course.

Key Highlights & USPs

  • This Udemy Python Data Visualization Online Course has divided content into 10 sections and 59 video lectures to easily grasp each and every topic.

  • Understand Data Visualization using Python library, Matplotlib.

  • Create graphical visualization for collected and organized data.

  • Master the mathematical concepts used in Data Science such as probability, linear algebra, and statistics.

  • Develop knowledge on how data analysis and data clustering work together.

  • Learn to implement hypothesis and Gradient descent in Python.

  • Build a data cluster model to see the performance and interestingly present the data.

  • Get full lifetime access to 1 article, 43 downloadable resources, and 7 hours-on-demand videos.

Who is it for?

Data Science is the present and future for organizations and companies for making better business decisions. Beginners Data Analysts and Python developers can take this  Data Visualization using Python Course to get a fruitful career. Upon completion, you will become proficient in using Python libraries and tools for data science and analysis. This course will give you a way to enhance your career opportunities.

Rating: 3.7/5
Students Enrolled: 700
Duration: 7 Hours

Udemy New Customer Deal
Valid till: 1st Feb

Data Visualization in Python Masterclass [Udemy]

Udemy Data Visualization with python Course is a comprehensive course where you can learn all the fundamentals of Data Science using Python at a fraction of cost. It will teach you how to program with Python and create data visualization using Python libraries. You are going to use various techniques to analyze data and visualize it for making better decisions. Data Science has become a rewarding career for developers and professionals that allows solving the world’s interesting challenges.

Course Instructor

This Python Data Visualization Masterclass is taught by Laxmi Kant with 8+ years of experience in data science. He designed this training program as per the requirement of the job markets. The main goal is to guide through Python programming to building basic models for data analysis.

Pros & Cons


  • Impressive and interactive video lectures
  • Learn from basic to advanced concepts
  • Certificate on Completion


  • Suitable for Python programmers and data scientists

Key Highlights & USPs

  • This Udemy Python for Data Visualization Masterclass consists of 16 sections and 224 video lectures to help you master the visualizations using Python libraries.

  • Learn to do Data Analysis using Python and how to install Python and use libraries in Programming.

  • Create and manipulate arrays using Numpy.

  • Use Python’s Pandas library for creating and analyzing datasets.

  • Build data visualization dashboards using Matplotlib and Seaborn libraries.

  • Get to work on real-life projects such as using Exploratory Data Analysis ( EDA) on the latest covid-19 dataset.

  • Unlimited access to 6 articles, 1 downloadable resource, and detailed code notebooks for every course.

Who is it for?

Python programmers, students of Data Science and Machine Learning, and software developers can take this Online Python Data Visualization Masterclass. For learners who have never studied data science before, there is a list of the Best Python Data Science courses.

Rating: 4.6/5
Students Enrolled: 25,562
Duration: 22 hours

Udemy New Customer Deal
Valid till: 1st Feb

Data Visualization on Desktop with Python and Bokeh [Udemy]

Udemy e-learning platform offers you an interactive Data Visualization Course to learn how to create beautiful plots and data dashboards using Python. This Udemy Data Visualization with Python and Bokeh course will guide you from plotting datasets to building rich data visualization as web applications for users. Visualizing the data brings excitement to customers and sells products.

Course Instructor

Ardit Sulce is a Python programmer and founder of PythonHow who guides students to master data visualization Python libraries such as Bokeh and Python. You are going to create impressive data visualization on the browser. That can showcase how users interact and their behaviour in the form of geospatial data.

Pros & Cons


  • Complete guide about Bokeh- Python library
  • Certificate on Completion


  • Require basic Python skills

Key Highlights & USPs

  • The guide Data Visualization with Bokeh includes 7 sections and 78 video lectures that will help you create beautiful, interactive dashboards.
    • Getting Started 
    • Customizing Bokeh Graphs
    • Advanced Plotting
    • Interactive Plotting with HTML Widgets
    • Streaming Real Time Data
    • Embedding Bokeh Plots in Websites
    • Deploying Data Visualizations Apps

  • Learn to build advanced Data Visualization web apps using the Python Bokeh library.

  • Build interactive web plots to represent your data impressively.

  • How to create widgets to let users interact with plots and histograms.

  • Enable to integrate and visualize data from Pandas Data Frames.

  • Understand how dynamic graphs can help to plot data in real-time.

  • Learn how to deploy and troubleshoot Bokeh apps in live servers.

  • Get lifetime access to 26 articles, 7 downloadable resources, and 6.5 hours of on-demand video.

Who is it for?

Whether you are a data scientist or statistician who deals with data every day, then Data Visualization with Python and Bokeh course is perfect for you. As a result of this course, you will obtain a solid understanding of Bokeh, a Python library for creating advanced data dashboards that include interactive visualizations.

Rating: 4.4/5
Students Enrolled: 10k
Duration: 1 month, 10/20 hours per week

Data Visualization with Python for Beginners [Udemy]

Learn how to use Python code for data visualization with this Udemy Python Data Visualization course. You will see how easy it is to make sense out of zillions of data and visualize them on the dashboard for analytics. You will get to start from the basics and create plots using Matplotlib. This course has some data visualization Python examples that enable you to create custom graphs alongside all the analytics.

Course Instructor

Maximilian Schallwig is a data scientist who designed this course for students to work on data analysis and visualization. It’s an intermediate data visualization course to help you dive into the world of data science. Maximilian will be going to teach the advanced visualization concepts of customizing plots and performing analytics.

Pros & Cons


  • Engaging and informative lectures 
  • Get exercises to practice
  • Certificate on Completion


  • Challenging initially for complete beginners

Key Highlights & USPs

  • This Udemy Data Visualization Online Training consists of six sections and 56 video lectures, including: 
    • Setup and Installation
    • Line and Scatter Plots
    • Graph Customization, Annotation, and Formatting
    • Histograms, Pie Charts, and Other Graphs
    • Images and color scales
    • 3D Graphing and Animating

  • Learn to make line plots and 2D histogram plots in Python by using programming and libraries.

  • Get to know how to customize the axis and change the scale of the axis to better graph logarithmic data.

  • Learn to add annotations and math formulas to your graphs.

  • Discover how to hide parts of a graph to reduce and cleaner version.

  • How to use 3D plots and images in plots to visualize sensible data.

  • Get access to one downloadable resource, assignments, and video – lectures.

Who is it for?

This beginners data visualization with python Course is one of the best courses for anyone interested in analyzing and visualizing data. If you have a foundational knowledge of Python and little experience, this course is perfect. Upon completion, you can visualize all your data directly in your code and create graphics from insights.

Rating: 4.3/5
Students Enrolled: 10,759
Duration: 5 hours

Data Visualization with Python and Matplotlib [Udemy]

Data Science is becoming part of every industry and professionals are adapting data analysis for organizations and businesses. That’s where the importance of data visualization comes to light. Python Data visualization course covers basic Python libraries and chapters on the graphical representation of data. You learn about data visualization by creating lines, graphs, plots, pie charts, and bar graphs. This best python online course enables you to use Python libraries such as Numpy and Matplotlib for programming visualization.

Course Instructor

Stone River, a tech institution created this Data Visualization with Python and Matplotlib for students to learn ways to visualize Big data. You will gain a deep understanding of how to read and understand charts, graphs, and other visual representations of data. You get to learn various tools such as Python 3, Matplotlib, and IDLE ( Integrated Development Environment for Python).

Pros & Cons


  • Useful and realistic examples
  • Great introduction to Matplotlib
  • Certificate on Completion


  • Need to be updated

Key Highlights & USPs

  • This Udemy Data Visualization Python Course is divided into 8 sections and includes 59 video lectures to explain each topic efficiently.

  • How to visualize multiple forms of both 2D and 3D graphs like line graphs, scatter plots, bar charts, and more.

  • Learn to load data from CSV files and various internet resources.

  • Create and customize live graphs.

  • Learn to add finesse and style to make graphs appealing.

  • Build geographical plotting with Basemap and advanced wireframes to visualize geospatial data.

  • Get unlimited access to one article, a downloadable resource, graded assignments, and quizzes to enhance the job profile.

Who is it for?

This intermediate-level online data visualization Python course is for those who are keenly interested in learning data visualization and comfortable with Python programming including how to install Python 3 and IDLE to write programs. Professionals and data scientists can expand their knowledge by enrolling in this online training.

Rating: 4/5
Students Enrolled: 4,392
Duration: 6 Hours

Udemy New Customer Deal
Valid till: 1st Feb

The Complete Python Data Analysis and Visualization Course [Udemy]

This Python Data Analysis Course is the perfect choice to kickstart your new career as a data scientist. You will learn Python programming and how to use libraries for analyzing the data. You will get all the resources too. This Python Data Analysis Course enables you to use the Numpy python library for adding large, multi-dimensional arrays and matrices. You will get to know about Exploratory Data Analysis and how to use the Jupyter Notebook Environment.

Course Instructor

This top Data Visualization Course is created by SKILL CURB to make easy understanding of cutting-edge technology at affordable prices. Instructors will help you from the beginning of writing your first program to build a portfolio by working on hands-on projects.

Pros & Cons


  • Short and meaningful videos
  • Certificate on Completion


  • Not well explained concepts

Key Highlights & USPs

  • This Complete Python Data Analysis Course includes 11 sections with 59 lectures that help you discover how to do exploratory analysis and visualization using Python.

  • Learn to create and manipulate arrays using Numpy and Python.

  • Understand how to use Python’s Pandas Library to analyze data sets.

  • Knowhow Matplotlib and Seaborn libraries are used for creating data visualizations.

  • Grasp the knowledge of theoretical and practical concepts parallelly.

  • Practice skills on hands-on projects to get practical experience.

  • Unlimited access to 30+ video lectures, over 10+ labs, and 8 downloadable resources.

Who is it for?

The Complete Python Data Analysis Course is for Beginner Data Scientists and IT managers to learn data analysis and visualization. You should have computer knowledge and programming experience to enroll in this course. This training session makes you proficient at implementing computing modules and libraries for data analysis and visualization.

Rating: 3.6/5
Duration: 6 Hours

Udemy New Customer Deal
Valid till: 1st Feb


What is Data Visualization in Python?

Data Visualization is the process of understanding data by visualizing the data to see patterns and trends that are not easily detected. Python offers powerful libraries to create interactive and customized plots, graphs, and histograms to visualize them.

Is Python good for data visualization?

Yes, It is a good and versatile general-purpose programming language for data visualization. Python has been widely used in data science to create top-notch and accurate graphics for data visualization. Data scientists use Python to reduce the time for writing programs and focus more on analyzing the data. It is easy to add plots, histograms, and graphs in the code for visual representations of data.

What is the best data visualization tool in Python?

Data visualization tools are the graphical representation of information and data from various sources. You can display data using charts, graphs, and maps that provide an accessible way to see outlines, trends, and patterns in data. There are many best data visualization tools such as tableau, Google charts, trafana, data wrapper, Chartblocks, etc

How do I learn Python Data Analysis?

You can learn Python Data Analysis online from the best e-learning platforms. You can check the list of our Best Data Science Course from Geektonight to start your journey in Data Analysis

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