What are the benefits of taking an online Matplotlib course?

Online Matplotlib courses offer a convenient and flexible way to enhance your knowledge or learn new Matplotlib skills. Choose from a wide range of Matplotlib courses offered by top universities and industry leaders tailored to various skill levels.

Top Matplotlib Courses - Learn Matplotlib Online

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Matplotlib

Matplotlib Courses

Matplotlib courses can help you learn data visualization techniques, creating static, animated, and interactive plots, and customizing visual elements for clarity. You can build skills in generating charts like line graphs, bar charts, and scatter plots, as well as formatting axes and labels for better presentation. Many courses introduce tools like Jupyter Notebooks and Python programming, showing how to implement visualization techniques in data analysis projects and enhance your ability to communicate insights effectively.

Popular Matplotlib Courses and Certifications

Status: Free Trial
IBM
Data Visualization with Python
Skills you'll gain: Data Visualization Software, Plotly, Data Visualization, Dashboard, Interactive Data Visualization, Matplotlib, Seaborn, Data Presentation, Data Analysis, Geospatial Information and Technology, Pandas (Python Package), Scatter Plots, Histogram, Heat Maps, Box Plots, Python Programming
4.5
Rating, 4.5 out of 5 stars
12K reviews
Intermediate · Course · 1 - 3 Months
Status: New
Status: Free Trial
EDUCBA
Matplotlib: Python Data Visualization & Wrangling
Skills you'll gain: Matplotlib, Data Storytelling, Scientific Visualization, Visualization (Computer Graphics), Plot (Graphics), Data Visualization, Statistical Visualization, Box Plots, E-Commerce, Business Analytics, Scatter Plots, Data Processing, Histogram, Data Analysis, Exploratory Data Analysis, Graphing, Pandas (Python Package), Image Quality, Data Visualization Software, Python Programming
Beginner · Specialization · 1 - 3 Months
Status: Free Trial
IBM
Data Analysis with Python
Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Data Transformation, Data Analysis, Data Cleansing, Data Manipulation, Data Import/Export, Predictive Modeling, Regression Analysis, Statistical Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data-Driven Decision-Making, Matplotlib, Feature Engineering, Data Visualization, Data Pipelines, NumPy, Python Programming
4.7
Rating, 4.7 out of 5 stars
19K reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
Codio
Select Topics in Python: Matplotlib
Skills you'll gain: Matplotlib, Plot (Graphics), Data Visualization Software, Data Visualization, Jupyter, Interactive Data Visualization, Scatter Plots, Histogram, Box Plots, Animations, Python Programming
3.3
Rating, 3.3 out of 5 stars
12 reviews
Intermediate · Course · 1 - 4 Weeks
Status: New
Status: Free Trial
EDUCBA
Advanced Data Visualization with Matplotlib Mastery
Skills you'll gain: Matplotlib, Scientific Visualization, Visualization (Computer Graphics), Plot (Graphics), Statistical Visualization, Data Visualization Software, Scatter Plots, Typography, Python Programming
Mixed · Course · 1 - 4 Weeks
Status: Free Trial
Packt
NumPy, Matplotlib & Pandas – Data Science Prerequisites
Skills you'll gain: NumPy, Pandas (Python Package), Data Manipulation, Scatter Plots, Jupyter, Data Visualization Software, Machine Learning, Data Science, Data Import/Export, Classification And Regression Tree (CART), Linear Algebra, Probability Distribution, Regression Analysis
4.9
Rating, 4.9 out of 5 stars
7 reviews
Beginner · Course · 1 - 3 Months

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Coursera
Python for Data Visualization: Matplotlib & Seaborn
Skills you'll gain: Matplotlib, Histogram, Plot (Graphics), Data Visualization, Seaborn, Scatter Plots, Data Visualization Software, Statistical Visualization, Graphing, Python Programming
4.6
Rating, 4.6 out of 5 stars
75 reviews
Beginner · Guided Project · Less Than 2 Hours
Status: Free Trial
University of Michigan
Applied Data Science with Python
Skills you'll gain: Matplotlib, Network Analysis, Social Network Analysis, Feature Engineering, Data Visualization, Pandas (Python Package), Data Visualization Software, Interactive Data Visualization, Scientific Visualization, Applied Machine Learning, Supervised Learning, Text Mining, Visualization (Computer Graphics), Statistical Visualization, Data Manipulation, NumPy, Graph Theory, Natural Language Processing, Python Programming, Data Processing
4.5
Rating, 4.5 out of 5 stars
34K reviews
Intermediate · Specialization · 3 - 6 Months
Status: Free Trial
Status: AI skills
IBM
IBM Data Science
Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Dashboard, Data Visualization Software, Data Visualization, SQL, Unsupervised Learning, Plotly, Interactive Data Visualization, Peer Review, Supervised Learning, Data Transformation, Feature Engineering, Jupyter, Data Analysis, Data Cleansing, Data Literacy, Generative AI, Professional Networking, Data Import/Export
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
148K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
Microsoft
Data Analysis and Visualization with Python
Skills you'll gain: Generative AI, Matplotlib, Plotly, Data Ethics, Data Visualization, Data Cleansing, Data Manipulation, Exploratory Data Analysis, Pandas (Python Package), Data Transformation, Interactive Data Visualization, Data Visualization Software, Data Storytelling, Data Analysis, Scikit Learn (Machine Learning Library), Jupyter, Python Programming, Machine Learning
4.4
Rating, 4.4 out of 5 stars
90 reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Packt
Data Analysis with Pandas and Python
Skills you'll gain: Pandas (Python Package), Data Import/Export, Matplotlib, Pivot Tables And Charts, Jupyter, Data Visualization Software, Microsoft Excel, Data Analysis, Text Mining, Data Manipulation, Data Cleansing, NumPy, Data Analysis Software, Data Integration, Data Wrangling, Time Series Analysis and Forecasting, Data Transformation, Python Programming, Data Structures, Development Environment
4.7
Rating, 4.7 out of 5 stars
41 reviews
Intermediate · Specialization · 3 - 6 Months
Status: Free Trial
University of Michigan
Understanding and Visualizing Data with Python
Skills you'll gain: Sampling (Statistics), Statistical Inference, Data Visualization, Descriptive Statistics, Data Visualization Software, Jupyter, Histogram, Statistical Methods, Matplotlib, Statistics, Data Analysis, Box Plots, Probability & Statistics, Exploratory Data Analysis, Data Manipulation, Data Management, Python Programming
4.7
Rating, 4.7 out of 5 stars
2.7K reviews
Beginner · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular matplotlib courses

Data Visualization with Python: IBM
Matplotlib: Python Data Visualization & Wrangling: EDUCBA
Data Analysis with Python: IBM
Select Topics in Python: Matplotlib: Codio
Advanced Data Visualization with Matplotlib Mastery: EDUCBA
NumPy, Matplotlib & Pandas – Data Science Prerequisites: Packt
Python for Data Visualization: Matplotlib & Seaborn: Coursera
Applied Data Science with Python: University of Michigan
IBM Data Science: IBM
Data Analysis and Visualization with Python: Microsoft

Frequently Asked Questions about Matplotlib

Matplotlib is a data visualization program that uses Python programming language to plot 2D graphs. The graphs may be static, interactive, or animated. It's used by developers and data scientists for creating publishable documents that are easy to understand. Tasks that are associated with Matplotlib include data virtualization, NumPy, and text mining. It's a tool that can be used by data analysts to predict pricing or to incorporate customer segmentation for marketing purposes.‎

It's important to learn Matplotlib as a way to turn your data into a chart or visual aid that makes it easy to understand the data and to make accurate statistical inferences. Seeing the information presented in a graph or charted format can make it easier to understand and use raw data, both for you as a data scientist using the program and for others with whom you want to share data. It may also help you advance your career or begin a new career in data science or data analysis.‎

Career opportunities that arise from learning Matplotlib include developer jobs, analyst careers, science jobs, and engineer careers. Developer jobs you may be able to work toward after learning Matplotlib include software developer and Python developer. Data analysts and research analysts are among the jobs in the analysis field that use this program. Two other career areas that use Matplotlib are data science and software engineering.‎

Taking courses on Coursera can help you learn Matplotlib by offering beginner courses that you can use to learn the foundational developer skills and how to use this open-source program. You can then move through the intermediate and advanced data science and data analysis courses to develop even more hands-on skills, such as hierarchical clustering and scalable data science, both of which may make your service more valuable to your employer.‎

When looking to enhance your workforce's skills in Matplotlib, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.