Best Matplotlib Online Courses, Training with Certification-2022 Updated

Matplotlib is a 2 dimensional and 3 dimensional plotting library of the python language. Beginners who are struggling for the best matplotlib online courses, this is the most correct place to do the matplotlib course. From this matplotlib online courses you people will understand the concepts like how to deploy the matplotlib, how to utilize the matplotlib in the big data projects, custom plottings of matplotlib, troubleshooting pyplot issues, how the data visualization is done by using the python, basic of python programming, how to create the custom styles for presentations and publications, how to analyze the matplotlib code, candlestick OHLC charts, advanced customization options, live graphs, advanced data visualization, data transformation, data acquisition with the numpy, basics of digital image processing, how to visual data with the matplotlib, how to design the statistical charts with the seaborn and so on. There are multiple number of matplotlib online courses in the world from them our panel experts have been selected some best matplotlib online courses which are listed below.           

#1 Matplotlib Intro with Python – Udemy 

People who want to learn about the data visualizations, then you people must take this Matplotlib with the Python online course which is offered by Frank Anemaet (software engineer). Here you people will learn that how the data visualization is done by using the Python programming language. You are able to plot with the matplotlib and can able to load the data from the text or excel files. Here more than 3k candidates are learning this Matplotlib with the Python online course. Here instructor was providing 17 downloadable video resources, one article and one hour videos with full period support. You will learn about the different types of the plots, usage of legends and so on.
Key points:

• From the introduction section students will understand the topics such as how to load the data, line chart, fill plot and multiple line plot. From the more plots section you people are able to learn the concepts like grid, legend, how to save the image, pie charts and bar charts.
• You will also learn the concepts of advanced plotting section like 3D plot, sub plot, themes and scatter plot. Students will learn how to visualize the data with the matplotlib. 
• Students will learn how to make the data visual with the plots, know the basic concepts of python programming language, know how to load the data from the excel files, different types of plots and know how to utilize the legends.
• You are able to understand how to create the custom styles for presentations and publications. You will also know how to analyze the matplotlib code.

Rating: 4.2 out of 5  
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#2 Data Visualization with Python and Matplotlib – Udemy

The Data Visualizations with the Matplotlib and Python online course was created by Stone River eLearning institute. Here students will learn how to visualize the multiple forms of the 3D and 2D graphs such as bar charts, scatter plots, line graphs etc. you will learn how to create the live graphs and you can visualize the geographical data on the maps. Instructors will teach how to customize the graphs, fonts, lines, colours modification etc. this Data Visualization with the Matplotlib and Python online course offers two articles, six hours videos and one downloadable video. Students will understand how to load the data from the files and internet sources for the data visualizations.
Key points:

• Students will understand the topics such as basic matplotlib graph, window buttons, titles, labels, bar charts, histograms, legends, scatter plots, pie charts, stack plots, know how to load the data from the csv files and with the numpy.
• You are abe to learn the concepts like how to get the stock prices for the data sets, plotting the stock data, modification of labels, how to adjust the subplots, customizing ticks, candlestick OHLC charts, live graphs, how to place and add the text etc.
• From the advanced customization options section you will learn the topics like addition of subplot, incorporating the changes to the candlestick graph, tick and label customizations, legends customizing etc.
• Instructor will discuss the concepts like how to download and install the basemap, projection customization, plotting coordinates, 3D scatter plots, 3D bar charts, advanced wireframe example and so on.

Rating: 4.2 Out of 5    
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#3 Data Science with Plotly, NumPy, Matplotlib, and Pandas – Udemy

The Data science with the pandas, matplotlib, numpy and python online course was offered by Ashwin Pajankar. Students will understand the scientific python ecosystem, pandas, data science etc. here 5k+ peoples are doing this Data science with the pandas, matplotlib, numpy and python online course. You people will understand the basics of the numpy fundamentals, advanced data visualizations and also learn the techniques of data acquisition. You people will know about the linear algebra and matrices. Instructor will discuss about the array creation routines, random array generation, bitwise operations, statistical functions, how to setup the raspberry pi, transformations with the ploty and more.
Key points:

• Students will know how to install the python 3 in windows, raspberry pi, installation of raspbian os, python on the raspberry pi raspbian os, python 3 basics, know the differences between the script mode and interpreter mode, pip on linux and windows etc.
• You will also understand how to install the matplotlib and numpy on windows and raspberry pi, jupyter and the Ipython, jupyter on raspberry pi and windows, numpy introduction, properties of ndarray, numpy data types, matrices, matplotlib etc.
• Instructor discussed about the random sampling, manipulation routines of arrays, statistical functions, plotting, installation of pandas and scipy, linear algebra and matrices, data acquisition with the numpy, matplotlib and python, dataframe in pandas etc.
• You are able to learn the topics such as basics of ploty, data transformation, numpy arrays, array modification routines, array operations, scatter plots, histograms, inset plots, tables, error bar, gantt chart, line and box charts etc.

Rating: 4.4 Out of 5    
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#4 Complete Python & Matplotlib Data Visualization Masterclass – Udemy

The Matplotlib and python data visualization online course is offered by Ashwin Pajankar (programmer, author and youtuber). Here you will learn about the python 3 data visualizations such as numpy, matplotlib and jupyter. And students can able to create the amazing visualizations. You will understand about printing and publications quality visualizations and know about the image processing with the matplotlib and numpy. This Matplotlib and python data visualization online course includes ten hours videos, seven articles and fifteen downloadable video resources with life period access. Students will learn the basics of digital image processing, scientific python ecosystem, matplotlib, jupyter and numpy. 
Key points:

• Firstly, students will learn how to install the python 3 on windows operating system. You will understand about how to set the raspberry pi raspbian os, python 3 on the raspberry pi etc.
• You people will learn the basics of python 3, python package index, pip on windows and raspberry pi, installation process of matplotlib and numpy on windows and raspberry pi, installation of jupyter on the raspberry pi and windows, how to install the putty in windows etc.
• Instructor will teach the concepts such as numpy constants, random sampling, data types, bitwise operations, ndarray properties, indexing, slicing, matrices, visualizations, numerical ranges, array manipulation, statistical functions, etc.
• Students can able to learn the topics like plottings, types of visualizations, object oriented programming subplots and styles, image data sets, stacked area plots, interpolation methods, 3D visualizations, matplotlib animations and so on.

Rating: 4.7 Out of 5 
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#5 Make 2D & 3D Graphs in Python with Matplotlib for Beginners! – Udemy

Students who want to learn how to utilize the data science for making the graphs, then you must join in this 2D and 3D Graphs in Python with Matplotlib online course. Here students will learn how to write the programs by using the Python programming language and you people will learn the process of designing the scatter plots and lines with the matplotlib. Students can able to develop the games by python. This 2D and 3D Graphs in Python with Matplotlib online course was created by John Bura and Mammoth Interactive. Here instructors will explain how to recognize the types of visualizations like whisker plots, pie charts, histograms etc. you people will understand about the 3D plotting, subplots and figures.
Key points:

• You will learn the basic programming topics of python like functions, variables, if statements, lists, loops, continuing and breaking in the loops, making different shapes with the loops, nested loops, while loop etc.
• Students will understand the concepts like dictionaries, sets, inventory list example, implementation of output and input, integration of file output and input, writing the participant data to the file examples, statistics with the data from the files etc.
• You are able to learn the concepts such as classes, inheritance, classes examples, importing introduction, random library, how to use the time library, math library introduction, handling errors, installation of matplotlib etc.
• Instructor will discuss about the creation of scatter plot and line plots, customization of graphs, creation of histograms, bar plots, whisker and box plots, finance graphs, candlestick plot and figures creation process etc.
• You will also understand the advanced customization of graphs, how to start with the 3D plotting, colour maps, surface plots and so on. Here instructor discussed about the blackjack game project. 

Rating: 4.4 Out of 5       
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#6 Complete Course on Data Visualization, Matplotlib and Python – Udemy

The Data Visualization, Matplotlib and Python online course is offered by Bekzod Ruzmetov. Students will learn about the matplotlib anatomy and seaborn for visualization of data. Here 400+ people are registered to learn this Data Visualization, Python and Matplotlib online course. You people will understand how to design variety of charts like stacked charts, bar charts, scatter plots, heatmaps, histogram, autocorrelation plots, pie charts and so on. Students can able to visualize the data with the matplotlib in the oop and able to manage the matplotlib artists like containers, axis, patches, lines, annotations etc. you will learn how to create the statistical charts by the seaborn.
Key points:

• From the matplotlib anatomy section students will learn the topics like line2D properties, rectangle properties and addition of patches, fancyBox patch properties, addition of text and properties, annotations, legends, axis tick formatters, locators etc.
• From create the 2D charts section you people will learn about the line charts, basics of bar charts, scatter plots, donut charts, dual axis charts, bar charts stacked and grouped, histograms.
• Students will learn the topics like axes statistical charts, colour bar, headmap, KDE plots, autocorrelation, box plots, path collections or scatter plot markers, axes spines, annotations, ticks, patches etc.
• From the seaborn section instructor will explain the topics like regplot, pair plot, factor plot, box plot, swarm and violin plots, count plot and so on. Students can able to learn how to customize the charts.
• You will also know how to visual data with the matplotlib in the oop and learn how to design the statistical charts with the seaborn.

Rating: 4.3 Out of 5
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Best Matplotlib Books:

#1 Matplotlib Plotting Cookbook by Alexandre Devert
#2 Mastering matplotlib by Duncan M. McGreggor
#3 Interactive Applications using Matplotlib by Benjamin V. Root
#4 Matplotlib for Python Developers by Sandro Tosi
#5 Matplotlib 3.0 Cookbook: Over 150 recipes to create highly detailed interactive visualizations using Python by Srinivasa Rao Poladi
#6 Matplotlib for Python Developers: Effective techniques for data visualization with Python, 2nd Edition by Aldrin Yim & Claire Chung & Allen Yu
#7 Matplotlib 2.x By Example: Multi-dimensional charts, graphs, and plots in Python by Allen Yu & Claire Chung & Aldrin Yim