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8 Best Online Python Data Visualization Courses & Tutorials of 2020

Python Data Visualization Courses

It is quite difficult for students to find the best way to suit their needs with many Python Data Visualization courses. We are often asked by students whether there is a standard course of Python Data Visualization that fits every case. YES is the reply. You can participate in the following popular courses. Registering for the right course will make a major difference in your career growth. The best Python Data Visualization courses & classes of 2020 have been chosen by hand in this article.

Our focus is on highlighting their respective categories as the best and most popular courses.

You can select the one which best fits your needs depending on your use case.

Let us look at the best Python Data Visualization courses available on the market, however.

1. Data Visualization with Python (Coursera)

Duration: 10 hours

Rating: 4.6 out of 5

If you’d like to understand how to demonstrate your insight from the analysis of large data sets, this course can help you in your research. It is a first course designed by an experienced faculty of IBM to help people learn how to represent large and small data with data visualization. With this tutorial, you will learn how data visualization tools can also be used to collect information , understand data better and take more effective decisions. This course focuses solely on teaching you how to take knowledge from a glance and represent it in a way that makes sense to people.

Key Highlights:

  • Attempt to develop plots with advanced visualization tools such as Matplotlib, histograms, bar charts, etc.
  • Learn the most common technologies and methodologies for analyzing and displaying data with Python programming
  • Incorporate different data visualization tools and some good practices to create Python plots and images
  • Get a 7-day free trial to register for other best data visualization courses.
  • Put your learned skills into practice with hands-on projects, graduated questionnaires, activities and readings during your studies.

You can Sign up Here

2. Learn Python for Data Analysis and Visualization (Udemy)

Duration: 2 months. 3-4 hours/week

Rating: 4.3 out of 5

If you are completely new to Python, this program introduces you with all the resources you need to learn Python and use this effectively for data visualization and analysis. This course will help you get a full idea of Python ‘s programming and how it is used for data analysis in conjunction with science computation modules and libraries. In addition, you will learn how to work with various Python data formats such as MS Excel Worksheets, JSON, HTML, etc. You will be awarded a certificate of completion after the course is completed, which can be used with your LinkedIn profile and resume to demonstrate your skills.

Key Highlights:

  • A realistic course, giving you a full idea of programming from Python and how to use it for data analysis and visualisation
  • Learn how arrays with NumPy and Python can be manipulated and how Pandas is used to build and analyze data sets.
  • Including 100 + lectures, 20 hours of learning, and over 100 Python code notebook examples, quizzes, exercises and more in order to enhance your knowledge and skills
  • Know how to use Matplotlib and Seaborn libraries to create beautiful views of data with a full understanding of machine learning and science learning

You can Sign up Here

3. Python for Data Science with Examples (Udemy)

Duration: 11-12 hours

Rating: 4.6 out of 5

Persons with no previous experience in the use of Python for data science can take this course for help. It is a step-by – step tutorial that guides Python from its basics to the advanced analysis and visualization of data. The course is followed by several videos and after every video lecture you can learn a new idea that can be used instantly in real life. The course is designed by Kirill Eremenko, a specialist in data science management, who has over ten years experience in the delivery of python training for different people. You can participate in some of the best Python data science classes after completing this course to develop your skills and experience.

Key Highlights:

  • Filled with real-life theoretical challenges that will help you solve complex data science problems
  • Understanding some basic Python design principles, like how to code in Notebooks for Jupiter, how to construct variables, etc.
  • An optimal course designed for all levels of proficiency and individuals without previous Python programming experience
  • Learn how to implement Python at a good level while acquiring core programming principles

You can Sign up Here

4. Introduction to Data Visualization in Python (DataCamp)

Duration: 4 hours

Rating: 4.5 out of 5

If you already understand enough about the use of Python for data science, this course gives you a solid foundation for Python data visualization. Registering for this course will help provide a broader coverage of the Matplotlib library and an overview of seaborn that is used as a statistical graphics package. The course has four chapters, the first of which is completely free to enroll, so you do not have to pay a fee to learn the content. At the end of the course, you will receive a certificate of completion which can be applied to show employers your skills.

Key Highlights:

  • Get full idea of Matplotlib’s customizing plots, including overlay plots, subplots, legends and annotations, axes control, and different plot styles
  • Learn about Python’s basic concepts for data visualization like personalization of graphics, statistical graphics, distributions, regression, etc.
  • Understand how plots can be modified for image pixel intensity histograms and enhance image contrast with histogram equalization.
  • Learn different methods for two-dimensional array visualization including the use, presentation and orientation of grids for two-variable functions

You can Sign up Here

5. Visualize Data with Python (edX)

Duration: 5 weeks

Rating: 4.5 out of 5

This course helps to learn how the visualization of data plays an important role in illustrating both small and large data. Taking this course, you will learn how to become a data scientist who is able to tell a powerful story and visualize data and results correctly and stimulatingly. It is developed by the IBM organisation, so you will be able to create your own data science projects and collaborate with other data scientists at the IBM Watson Studio when you sign up for the course. Video tutorials, exercises, and hands-on projects are included to help you gain a deeper understanding of the topics.

Key Highlights:

  • Learn about simple and advanced visualization tools such as Plots Field, Pie Charts, Scatter Plots, Histograms, etc.
  • Get a trainer-signed IBM logo certificate to test your results and increase your employment prospects.
  • Implement multiple data visualization principles such as Matplotlib, Matplotlib plots, line plots and more
  • Learn how to use some of Python’s most powerful and useful libraries for data visualisation such as Matplotlib, Seaborn and Folium

You can Sign up Here

6. Data Visualization on Desktop with Python and Bokeh (Udemy)

Duration: 6-7 hours

Rating: 4.6 out of 5

If you would like to learn how to attract your customers with impressive and attractive data visualization on the Bokeh browser, then the Udemy course is an perfect option for you. It is a step-by – step course to help you master Bokeh — a python library used to build advanced and modern web applications for data visualization. You start by learning how to create simple datasets and then you develop vibrant and beautiful web applications for data visualization that can plot data in real time and allow Web users to link and change your plots’ behaviour. It comes with drills that will allow you to track your skills during the course.

Key Highlights:

  • Designed by a professional trainer from Udemy who will help you to understand the complex ideas of Python during the course
  • A great course for data scientists, data analysts and data managers who want to please their customers or employers by using bokeh to show their details.
  • Get access to a variety data samples with more examples to improve your Bokeh skills
  • Gain valuable skills to visualize data in a manner that stimulates the public and sells your product or idea easily.

You can Sign up Here

7. Data Visualization with Python (Cognitive Class)

Duration: 10 hours

Rating: 4.5 out of 5

People who would like to learn how to tell a compelling story, view data and findings in a way that Python can gain knowledge from this course. Through this course, you can learn how data visualization can be used for data presentation to convey information to customers interactively and effectively. You should understand clearly how to build and customize impressive graphics and charts to make them more effective and appealing for your audience. In addition, you can discover how a data analysis application can also help you collect knowledge and make more effective decisions.

Key Highlights:

  • Developed by IBM professional instructors with years of experience in data visualization and python coaching
  • Get a clear sense of the use of different Python programming frameworks to make the data visualization more appealing
  • Receive a shareable completion certificate to demonstrate your skills to employers
  • A realistic class that will help you to analyze and visualize data in a useful way to impress your customers
  • Read more about experts and specialized visualization tools like waffles, box plots, bubble plots, seaborne and regression tools, and much more.

You can Sign up Here

8. Data Visualization with Python and Matplotlib (Udemy)

Duration: 6-7 hours

Rating: 4.0 out of 5

If you’d like to analyze big data for full advantages and efficiency, this Udemy course is perfect for you. This course helps you understand how to make easy to read, easy to understand graphs , charts and other visual graphical presentations by visualizing data. You can understand Big Data Python clearly when learning to simulate several 2D and 3D maps, loading and organizing data from different visualization resources, etc. The course contains numerous tests, questionnaires and hands-on projects designed to help you assess what you have learned in the program to date.

Key Highlights:

  • Includes a step-by-step guide for the development of line graphs, scatter plots, plot plots, pie charts, bar charts, 3D axes, geographical maps, live updates, etc.
  • Use three of the main data visualization tools used – Python 3, Matplotlib and IDLE.
  • A comprehensive curriculum that encompasses almost all major chart that can be visualized by Matplotlib
  • Learn how to load data from both CSV and NumPy, along with additional features such as custom spines, styles, annotations, averages, etc.

You can Sign up Here

Wrapping Up

That’s the list of 8 Best Online Python Data Visualization Courses & Tutorials of 2020 with high-quality content. They are popular and loved by many machine learning students. Between these courses, you are sure to find what you need to learn to continue your path of the machine learning.

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