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: Free Trial
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 Visualization, Data Manipulation, Data Science, Histogram, Package and Software Management, Data Import/Export, Python Programming
4.5
Rating, 4.5 out of 5 stars
73 reviews
Intermediate · Course · 1 - 4 Weeks
Coursera Instructor Network
Applying Python for Data Analysis
Skills you'll gain: Pandas (Python Package), Data Analysis, Data-Driven Decision-Making, Data Manipulation, Business Analytics, Statistics, Data Visualization Software, Descriptive Statistics, Data Cleansing, Time Series Analysis and Forecasting, Correlation Analysis, Python Programming
4.4
Rating, 4.4 out of 5 stars
14 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
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
543 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
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
Status: Free Trial
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
889 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
University of Pennsylvania
Data Analysis Using Python
Skills you'll gain: Matplotlib, Data Analysis, Pandas (Python Package), Data Cleansing, Pivot Tables And Charts, Data Visualization Software, Data Manipulation, Scatter Plots, NumPy, Data Transformation, Jupyter, Data Validation, Data Import/Export, Histogram, Data Structures, Programming Principles, Scripting Languages
4.5
Rating, 4.5 out of 5 stars
417 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
IBM
Applied Data Science
Skills you'll gain: Dashboard, Data Visualization Software, Plotly, Data Visualization, Predictive Modeling, Interactive Data Visualization, Exploratory Data Analysis, Data Wrangling, Data Analysis, Jupyter, Matplotlib, Pandas (Python Package), Seaborn, Data Presentation, Data Import/Export, Web Scraping, Automation, Data Science, Data-Driven Decision-Making, Python Programming
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
58K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
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
95 reviews
Intermediate · Specialization · 1 - 3 Months
University of Michigan
Программирование для всех (начало работы с Python)
Skills you'll gain: Programming Principles, Computer Programming, Python Programming, Software Installation, Computational Thinking, Development Environment
4.8
Rating, 4.8 out of 5 stars
97 reviews
Mixed · Course · 1 - 3 Months
Status: New
Status: Free Trial
Status: AI skills
DeepLearning.AI
DeepLearning.AI Data Analytics
Skills you'll gain: Data Storytelling, Web Scraping, Google Sheets, Data Visualization, Data Presentation, Spreadsheet Software, Large Language Modeling, Tableau Software, Data Literacy, Pandas (Python Package), Time Series Analysis and Forecasting, Probability & Statistics, Extract, Transform, Load, Statistical Analysis, Statistics, Statistical Modeling, Matplotlib, Data Visualization Software, Data Validation, Data Processing
4.7
Rating, 4.7 out of 5 stars
92 reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
IBM
Statistics for Data Science with Python
Skills you'll gain: Descriptive Statistics, Statistical Analysis, Data Analysis, Probability Distribution, Statistics, Data Visualization, Statistical Hypothesis Testing, Regression Analysis, Probability & Statistics, Data Science, Matplotlib, Exploratory Data Analysis, Probability, Correlation Analysis, Pandas (Python Package), Jupyter
4.5
Rating, 4.5 out of 5 stars
436 reviews
Mixed · Course · 1 - 3 Months
Status: Free Trial
Arizona State University
Python: A Guided Journey from Introduction to Application
Skills you'll gain: Supervised Learning, Unsupervised Learning, Matplotlib, Generative AI, NumPy, Object Oriented Programming (OOP), Deep Learning, Image Analysis, Plot (Graphics), Machine Learning Algorithms, Object Oriented Design, Integrated Development Environments, Pandas (Python Package), Development Environment, Data Structures, Event-Driven Programming, Python Programming, Programming Principles, Scripting, User Interface (UI)
4
Rating, 4 out of 5 stars
54 reviews
Beginner · Specialization · 3 - 6 Months