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.

Why is it important to learn about Matplotlib?

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.

What career opportunities can arise from learning Matplotlib?

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.

How can taking online courses on Coursera help me learn Matplotlib?

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.

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.

What Matplotlib courses are best for training and upskilling employees or the workforce?

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 .

Top Matplotlib Courses - Learn Matplotlib Online

Explore the Matplotlib Course Catalog

Status: New
Microsoft
Data Analysis and Visualization with Python
Skills you'll gain: Data Ethics, Generative AI, Matplotlib, Data Transformation, Data Cleansing, Pandas (Python Package), Data Visualization Software, Data Analysis, Data Manipulation, Exploratory Data Analysis, Data Processing, Data Storytelling, Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Artificial Intelligence, Python Programming
4.2
Rating, 4.2 out of 5 stars
17 reviews
Beginner · Course · 1 - 3 Months
University of Michigan
Understanding and Visualizing Data with Python
Skills you'll gain: Sampling (Statistics), Data Visualization, Statistics, Matplotlib, Statistical Visualization, Probability & Statistics, Jupyter, Statistical Methods, Data Visualization Software, Data Analysis, Statistical Analysis, Exploratory Data Analysis, Descriptive Statistics, Statistical Inference, Data Collection, NumPy, Box Plots, Histogram, Python Programming
4.7
Rating, 4.7 out of 5 stars
2.7K reviews
Beginner · Course · 1 - 4 Weeks
MathWorks
Exploratory Data Analysis with MATLAB
Skills you'll gain: Interactive Data Visualization, Data Import/Export, Technical Communication, Data Analysis, Exploratory Data Analysis, Data Visualization Software, Data Cleansing, Data-Driven Decision-Making, Matlab, Statistical Analysis, Probability & Statistics, Descriptive Statistics, Data Manipulation, Data Mapping, Scripting
4.8
Rating, 4.8 out of 5 stars
812 reviews
Beginner · Course · 1 - 3 Months
Duke University
Data Visualization with Python
Skills you'll gain: Data Visualization Software, Data Visualization, Data Storytelling, Interactive Data Visualization, Plotly, Matplotlib, Dashboard, Seaborn, Tableau Software, Scatter Plots, Spreadsheet Software, Histogram, Google Sheets, Microsoft Excel, Business Intelligence Software, Pandas (Python Package)
4.1
Rating, 4.1 out of 5 stars
24 reviews
Intermediate · Course · 1 - 4 Weeks
Duke University
Python Essentials for MLOps
Skills you'll gain: Pandas (Python Package), MLOps (Machine Learning Operations), NumPy, Unit Testing, Data Manipulation, Software Testing, Data Import/Export, Python Programming, Debugging, Data Structures, Object Oriented Programming (OOP), Scripting, Program Development, Numerical Analysis, Application Programming Interface (API), Command-Line Interface, Computer Programming
4.2
Rating, 4.2 out of 5 stars
249 reviews
Intermediate · Course · 1 - 3 Months
Meta
Python Data Analytics
Skills you'll gain: Pandas (Python Package), Data Analysis, Exploratory Data Analysis, Data Manipulation, Jupyter, Matplotlib, Regression Analysis, Programming Principles, Data Cleansing, Data Import/Export, Data Visualization Software, Python Programming
4.3
Rating, 4.3 out of 5 stars
191 reviews
Beginner · Course · 1 - 3 Months
University of Colorado Boulder
Python Packages for Data Science
Skills you'll gain: Matplotlib, Seaborn, Plot (Graphics), Pandas (Python Package), NumPy, Data Visualization Software, Data Manipulation, Scatter Plots, Data Science, Histogram, Data Import/Export, Package and Software Management, Python Programming
4.5
Rating, 4.5 out of 5 stars
70 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free
Nanjing University
Data Processing Using Python
Skills you'll gain: Data Processing, Data Mining, Data Structures, Data Presentation, Object Oriented Programming (OOP), Web Scraping, Data Capture, Data Analysis, Python Programming, Pandas (Python Package), NumPy, Data Visualization, Data Manipulation, Matplotlib, User Interface (UI) Design
4.1
Rating, 4.1 out of 5 stars
369 reviews
Beginner · Course · 1 - 3 Months
Status: Free
Ball State University
Introduction to Programming
Skills you'll gain: Program Development, Data Analysis, Statistical Analysis, Computer Programming, Python Programming, Data Analysis Software, Object Oriented Programming (OOP), Natural Language Processing, Scripting, Computational Thinking, NumPy, Algorithms, Debugging, Data Structures
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
28 reviews
Beginner · Course · 1 - 3 Months
Status: New
Microsoft
Microsoft Python Development
Skills you'll gain: Web Scraping, Data Ethics, Data Structures, Generative AI, Git (Version Control System), Matplotlib, Version Control, Data Transformation, DevOps, Agile Methodology, Web Development, Data Cleansing, Flask (Web Framework), Scripting, GitHub, Pandas (Python Package), Debugging, Restful API, Docker (Software), Test Driven Development (TDD)
4.2
Rating, 4.2 out of 5 stars
109 reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: AI skills
IBM
IBM Data Analyst
Skills you'll gain: Data Storytelling, Dashboard, Data Visualization Software, Plotly, Data Presentation, Data Wrangling, Data Visualization, SQL, Generative AI, Interactive Data Visualization, Exploratory Data Analysis, Data Cleansing, Big Data, Jupyter, Matplotlib, Data Analysis, Statistical Analysis, Pandas (Python Package), Excel Formulas, Professional Networking
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
90K reviews
Beginner · Professional Certificate · 3 - 6 Months
University of Michigan
Sports Performance Analytics
Skills you'll gain: Forecasting, Statistical Methods, Regression Analysis, Data Cleansing, Scikit Learn (Machine Learning Library), Supervised Learning, Statistical Hypothesis Testing, Correlation Analysis, Predictive Modeling, Matplotlib, Applied Machine Learning, Data Visualization, Statistical Modeling, Kinesiology, Injury Prevention, Data Analysis, Machine Learning Methods, Analytics, Advanced Analytics, Statistical Analysis
4.5
Rating, 4.5 out of 5 stars
255 reviews
Intermediate · Specialization · 3 - 6 Months