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

Universidad Nacional Autónoma de México
Python: de cero a analista de datos
Skills you'll gain: Exploratory Data Analysis, Matplotlib, Pandas (Python Package), Extract, Transform, Load, Data Analysis, NumPy, Package and Software Management, Time Series Analysis and Forecasting, Data Visualization Software, Data Science, Python Programming, Jupyter, Graphing, Data Import/Export, Data Manipulation, Scripting, Software Installation, Computational Thinking, Development Environment, Mac OS
4.2
Rating, 4.2 out of 5 stars
38 reviews
Beginner · Specialization · 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, Data Processing, Statistical Hypothesis Testing, Correlation Analysis, Predictive Analytics, Predictive Modeling, Matplotlib, Applied Machine Learning, Kinesiology, Injury Prevention, Statistical Machine Learning, Analytics, Data Analysis, Statistical Analysis, Probability & Statistics
4.5
Rating, 4.5 out of 5 stars
255 reviews
Intermediate · Specialization · 3 - 6 Months
University of Michigan
Applied Machine Learning in Python
Skills you'll gain: Feature Engineering, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Decision Tree Learning, Unsupervised Learning, Dimensionality Reduction, Random Forest Algorithm
4.6
Rating, 4.6 out of 5 stars
8.6K reviews
Intermediate · Course · 1 - 4 Weeks
University of Pennsylvania
Introduction to Programming with Python and Java
Skills you'll gain: Matplotlib, Object Oriented Design, Java, Object Oriented Programming (OOP), Data Analysis, Unit Testing, Pandas (Python Package), Eclipse (Software), Data Structures, Data Cleansing, Debugging, Pivot Tables And Charts, Data Visualization Software, Software Testing, Integrated Development Environments, Program Development, Programming Principles, Python Programming, Computer Programming, Computational Thinking
4.5
Rating, 4.5 out of 5 stars
1.8K reviews
Beginner · Specialization · 3 - 6 Months
Duke University
Applied Python Data Engineering
Skills you'll gain: Data Visualization Software, PySpark, Data Visualization, Snowflake Schema, Data Storytelling, Site Reliability Engineering, Docker (Software), Databricks, Containerization, Interactive Data Visualization, Plotly, Data Pipelines, Kubernetes, Matplotlib, Apache Spark, Dashboard, Virtualization, MLOps (Machine Learning Operations), Devops Tools, Apache Hadoop
3.8
Rating, 3.8 out of 5 stars
94 reviews
Intermediate · Specialization · 1 - 3 Months
University of Colorado Boulder
Expressway to Data Science: Python Programming
Skills you'll gain: Matplotlib, Seaborn, Plot (Graphics), Pandas (Python Package), NumPy, Data Visualization Software, Data Visualization, Programming Principles, Computer Programming, Histogram, Functional Design, Data Import/Export, Package and Software Management, Scripting, Scripting Languages, Data Manipulation, Python Programming, Data Science, Data Structures
4.7
Rating, 4.7 out of 5 stars
281 reviews
Beginner · Specialization · 1 - 3 Months
University of Michigan
Introduction to Data Science in Python
Skills you'll gain: Pandas (Python Package), Jupyter, NumPy, Data Manipulation, Data Science, Data Structures, Data Analysis, Statistical Analysis, Pivot Tables And Charts, Data Cleansing, Data Import/Export, Probability & Statistics, Python Programming, Programming Principles
4.5
Rating, 4.5 out of 5 stars
27K reviews
Intermediate · Course · 1 - 4 Weeks
Google
Go Beyond the Numbers: Translate Data into Insights
Skills you'll gain: Exploratory Data Analysis, Data Storytelling, Data Visualization Software, Data Presentation, Data Transformation, Data Ethics, Tableau Software, Data Manipulation, Data Cleansing, Data Analysis, Stakeholder Communications, Matplotlib, Pandas (Python Package), Jupyter, Data Validation, Python Programming
4.7
Rating, 4.7 out of 5 stars
779 reviews
Advanced · Course · 1 - 3 Months
Status: New
Duke University
Data Visualization and Modeling in Python
Skills you'll gain: Matplotlib, Predictive Modeling, Pandas (Python Package), Data Visualization Software, Visualization (Computer Graphics), Regression Analysis, Data Analysis, Data Cleansing, Data Science, Machine Learning Algorithms, Statistical Inference, Probability & Statistics, Python Programming
Intermediate · Course · 1 - 4 Weeks
Rice University
Python Data Visualization
Skills you'll gain: Data Visualization Software, Plot (Graphics), Package and Software Management, Python Programming, Data Mapping, Software Installation, Scripting, Data Processing, Data Integration, Data Import/Export, Scripting Languages, Data Structures, Software Documentation
4.6
Rating, 4.6 out of 5 stars
542 reviews
Beginner · Course · 1 - 4 Weeks
Rice University
Python Data Analysis
Skills you'll gain: Data Processing, Data Manipulation, Data Structures, Scripting, Data Import/Export, Data Analysis, Python Programming, Data Storage
4.7
Rating, 4.7 out of 5 stars
888 reviews
Beginner · Course · 1 - 4 Weeks
Università di Napoli Federico II
Data Science con Python e R
Skills you'll gain: Unsupervised Learning, Supervised Learning, Object Oriented Programming (OOP), PyTorch (Machine Learning Library), R Programming, NumPy, Image Analysis, Pandas (Python Package), Matplotlib, Artificial Neural Networks, Python Programming, Deep Learning, Computer Programming, Scripting Languages, Computer Vision, Keras (Neural Network Library), Scripting, Machine Learning, Exploratory Data Analysis, Programming Principles
4.3
Rating, 4.3 out of 5 stars
50 reviews
Intermediate · Specialization · 1 - 3 Months