Before I tell you about the wonderful courses you can use to learn more about Matplotlib, let me tell you what Matplotlib is. Matplotlib is a data visualization library built on NumPy 2D arrays and designed to work with the larger and broader SciPy stack. Matplotlib is an amazing visualization library in Python for 2D plots of arrays in the most basic terms. It was created by John Hunter and introduced in 2002. One of the first things you need to understand about visualization is that it allows users visual access to huge amounts of data that can be easily understood. Matplotlib comprises several plots like line, bar, scatter, and histogram.
You can install Matplotlib on Windows, Linux, or macOS, as
most of its dependencies are available as wheel packages. Most of the time,
you can run a simple one-line command to install matplotlib.
Matplotlib has many features and comes with a wide variety of
plots. Plots can be used to understand trends and patterns and make
correlations. They are typically used for reasoning about quantitative
information.
5 Best Courses to Learn Matplotlib for Beginners in 2023
Here we have compiled a list of the 5 Best Courses to learn Matplotlib. Keep
reading to find out more.
1. Complete Course on Data Visualization, Matplotlib, and Python [Udemy]
This is a fantastic course that will help you master Matplotlib and learn
Seaborn to visualize data with custom-made, beautiful charts suitable for all purposes. You will get full lifetime access to more than 3 hours of on-demand video lectures, 1 article, and 64 downloadable educational resources when you buy this course.
In this course, you will learn how to create various charts like bar
charts, line charts, stacked charts, donut and pie charts, histograms, KDE
plots, Violin plots, Box plots, and Scatter plots.
Course Duration: 4 hours
Course Rating: 4.3 stars out of 5
Course Instructor: Bekzod Ruzmetov
Course Price: $56
This course will show you how to code and run your first Python script in
minutes without installing anything. This is perfect for people who have no
prior coding experience and are absolute beginners.
You will be given an excellent crash course on Python, which will enable you
to delve into core data analysis topics that can be transferred into other
languages. You will also learn how to import and organize your data, use
functions to gather descriptive statistics, and perform statistical tests.
By the end of this course, you will be able to describe a data set with
statistics.
Course Duration: 9 hours
Course Rating: 4.5 stars out of 5
Course Instructor: Kevin Noelsaint
Course Price: $50
By the way, when it comes to joining this course, you have two options, you
can either join this course alone which costs around $39 per month for
specialization, you can also join Coursera Plus for $59 per month, a subscription plan from Coursera which gives you
unlimited access to their most popular courses, specialization, professional
certificate, and guided projects.
The focus of this course is on making Matplotlib accessible and
understandable to a data scientist or business analyst. In this course, you
will discover the basic components which make up a plot and learn how you
can tweak parameters and attributes to customize the visualizations.
You will start the course by learning about the basic APIs available in
Matplotlib, where they are used, and how to customize the display, colors,
and other attributes of these plots with multiple axes.
Course Duration: 3 hours
Course Rating: 4.8 stars out of 5
Course Instructor: Janani Ravi
Course Price: $140 per year for the Premium Plan
Though, you would need a Pluralsight membership to join this course which costs around $29 per month or $299 per year (14% discount). I highly recommend this subscription to all programmers as it provides instant access to more than 7000+ online courses to learn any tech skill. Alternatively, you can also use their 10-day-free-pass to watch this course for FREE.
The instructor of this course is Michael Galarnyk, an ML and AI evangelist
at cnvrg.io.
This course teaches you how to create accurate, engaging, and
easy-to-understand charts and graphs using Python. You will be equipped to
explore the pandas and matplotlib libraries and learn how to load and clean
data sets and create simple and advanced plots like histograms and
subplots.
Course Duration: 4 hours
Course Rating: 4.5 stars out of 5
Course Instructor: Michael Galarnyk
Course Price; $12 per month for an annual subscription
By the way, you would need a LinkedIn Learning membership to watch this course which costs around $29.99 per month but you can also watch this course for FREE by taking their 1-month-free-trail which is a great way to explore their 17000+ online courses on the latest technology.
5. Python for Data Science and Machine Learning Bootcamp [Udemy]
This is one of the most comprehensive and exhaustive courses on this list.
You will learn everything you need to know about Numpy, Pandas, Seaborn,
Matplotlib, Plotly, Scikit Learn, Machine Learning, and Tensorflow.
You will get full lifetime access to more than 25 hours of on-demand video lectures, 13 articles, and 5 downloadable educational resources when you buy this course. You will learn how to implement machine learning
algorithms and use pandas for data analytics. You will also be able to use
Seaborn for statistical plots and Scikit-Learn for machine learning
tasks.
Course Duration; 25 hours
Course Rating: 4.6 stars out of 5
Course Instructor: Jose Portilla
Course Price: $56
Frequently Asked Questions
1. What exactly is Matplotlib?
Matplotlib is a data visualization library built on NumPy 2D
arrays and designed to work with the larger and broader SciPy stack. Matplotlib is an amazing visualization library in Python for 2D plots of arrays in the most basic terms. It was created by John Hunter and
introduced in 2002.
2. What are the features of Matplotlib?
Matplotlib has many features and comes with a wide variety of
plots. Plots can be used to understand trends and patterns and make
correlations. They are typically used for reasoning about quantitative
information.
3. How do I install Matplotlib?
You can install Matplotlib on Windows, Linux, or macOS
as most of its dependencies are available as wheel packages. Most of the
time, you can run a simple one-line command to install matplotlib.
Conclusion
That's all about the best online courses to learn Matplotlib from scratch in 2023. The ball is in your court now. You can join one or a couple of
these best MatplotLib courses to learn data visualization, one of the
important skills for Data Engineers, Data Scientists, and Machine Learning
programmers.
When I learned Matplotlib, I used a variety of resources like blogs, and tutorials and even joined multiple courses because I tend to learn better
if the same concept is explained by multiple instructors.
Sometimes it connects, sometimes it does not, so trying a couple is definitely the
better way to learn complex topics like Data
visualization and Matplotlib in 2023.
If you liked this list of the 5 Best Courses to Learn Matplotlib, feel free
to share it with your friends and family.
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