6 Best + Free Matplotlib Courses & Tutorials [2019]

best matplotlib course tutorial class certification training online

25 Experts have compiled this list of Best + Free Matplotlib Course, Tutorial, Training, Class, and Certification available online for 2019. It includes both paid and free resources to help you learn Matplotlib and these courses are suitable for beginners, intermediate learners as well as experts.


6 Best + Free Matplotlib Courses, Tutorial, Certification & Training Online [2019 UPDATED]

1. Introduction to Matplotlib (DataCamp)

It is true that data is one of the key sources of information but we can not make the most of it unless we can visualize and communicate it efficiently. This course offers an introduction to the Matplotlib, a powerful library of data visualization. Go over the various methodologies to visualize different types of datasets. Once you are done with the basics you will also be able to automate the techniques and share the findings.


Key USPs –

– Understand how to leverage the power of the library by following along with the demonstrations.

– Explore the relationship between raw data and predict future trends.

– Work on statistical plotting, create histograms, perform quantitative comparisons and much more.

– Interactive classes make learning a fun experience.

– The first module can be accessed for free.


Duration: 4 hours

Rating: 4.5 out of 5

You can Sign up Here



2. Applied Plotting, Charting & Data Representation in Python (Coursera)

In this intermediate-level program, you will go over all the topics necessary for representing information using reports, charts and more. Each week in the classes is dedicated to focus of the key areas starting from scratch. Firstly you will learn to distinguish between what is a good and bad visualization and explore the technical jargons. Following this, the lectures will discuss matplotlib, create fundamental charts, various functionalities to name a few. The concluding lectures go over some of the alternatives of structuring and communicating data.


Key USPs-

– Overview of the curriculum and grading are included in the very first section.

– Learn to make informed design decisions while creating reports and charts.

– Identify which technique is better on the basis of the problem.

– Gain best practices from the instructor and incorporate them into practice.

– Flexible deadlines allow you to learn as per your convenience.

– Audit the content for free and the verified certification at an additional price.

– Complete all the graded assignments and quizzes to earn the completion badge.

Duration: 18 hours, 6 hours per week

Rating: 4.5 out of 5

You can Sign up Here



3. Matplotlib Courses & Tutorials (Udemy)

Udemy offers a series of 12 tutorials and courses that guide you to work on the various aspects of this advantageous library. Take your pick from beginner, intermediate and advanced level classes based on your current experience in working with this library. Some of the top options include data visualization with Python, intro to matplotlib, making 2D and 3D graphs, introduction to matplotlib as a machine learning prerequisite. A small quiz is available on the website that will come in handy in narrowing down the suitable programs for you.


Key USPs-

– Beginner level certifications require little or no experience.

– Make 1D, 2D histogram plots and line plots.

– Work with data from different sources such as Excel and text files in addition to databases.

– Hands-on exercises give you the opportunity to implement topics covered in theory lectures.

– Lectures + Assignments + Articles + Downloadable Resources + Full lifetime access

– Enroll in the courses at an affordable fee.


Duration: Self-paced

Rating: 4.4 out of 5

You can Sign up Here



4. Visualizing Data with Python (edX)

If you have prior experience of working on Python and analyzing data with it then take this certification to add another feather to your cap. Throughout the classes, you will not only learn how to use tools and libraries to create the perfect visualization but also understand how to make efficient decisions based on the key parameters of the datasets you are working on and the information you are wishing to gain. By the end of the program you will be able to work on your own data science projects and build your portfolio.


Key USPs-

– Get a brief introduction to the objective of the whole course and how it can be useful in solving problems.

– All the topics are explained with demonstrations and examples.

– Learn about charts, plots, word clouds, maps and more.

– Guidance is provided to perform the necessary configurations to follow along with the lessons.

– Express the data in the form of a compelling story that can be grasped by both technical and non-technical individuals.

– Explore libraries such as Matplotlib, Seaborn, and Folium.

– Access the videos and study content for free and go for the certificate at an additional cost.

Duration: 5 Weeks, 2 to 4 hours per week


You can Sign up Here



5. Introduction to Data Visualization with Matplotlib (TreeHouse)

This concise program is perfect for someone looking for a brief introduction to the field of data visualization or wondering if this is a suitable career path for them. Begin your journey with lectures that discuss simple methods to create basic plots and charts. Following this move on to more advanced concepts such as different types of datasets and working with numerous tools. In addition to this use the extracted information to figure out trends and business driving parameters.


Key USPs-

– Concise lessons that get straight to the point.

– Explore how different types of information can be useful in communicating different results.

– Save charts in various formats and customize the graphs.

– Demonstrate how skills in this field can be used to make smart decisions in business.


Duration: 1 hour 15 minutes


You can Sign up Here



6. Introduction to Matplotlib (Codecademy)

Codecademy offers this class to help you build strong foundational skills in working with this industry-level library. Divided into three sections you will commence with lessons on how to create line graphs by focusing on all the details in depth. In the next parts the instructors move on to topics such as different plot types and working on hands-on projects that give you an opportunity to integrate and implement all the concepts that have been covered. Upon the completion of the program you will have the confidence to go for advanced specializations and solve real-life based challenges.


Key USPs-

– Get an introduction to the commands and steps required to build very fundamental graphs.

– Compare multiple datasets based on the same parameters.

– Attempt the quizzes on a regular basis to brush up the topics and keep up with your progress.

– Develop an intuitive sense of understanding for datasets of various scales.

– Learn with engaging real-world examples.


Duration: Self-paced


You can Sign up Here


So these were the 6 Best + Free Matplotlib Tutorial, Class, Course, Training & Certification available online for 2019. Hope you found what you were looking for. Wish you a Happy Learning!

Source: Digitaldefynd

Author: Digital Defynd