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
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
Coursera Project Network
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
70 reviews
Beginner · Guided Project · Less Than 2 Hours
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
11 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
IBM
Data Analysis with Python
Skills you'll gain: Predictive Modeling, Exploratory Data Analysis, Data Wrangling, Data Analysis, Data Import/Export, Pandas (Python Package), Statistical Modeling, Data-Driven Decision-Making, Data Manipulation, Scikit Learn (Machine Learning Library), Regression Analysis, Feature Engineering, Matplotlib, Python Programming, Data Cleansing, NumPy, Data Visualization, Descriptive Statistics, Supervised Learning, Data Pipelines
4.7
Rating, 4.7 out of 5 stars
19K reviews
Intermediate · Course · 1 - 3 Months
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, Data Visualization Software, Interactive Data Visualization, Scientific Visualization, Pandas (Python Package), Applied Machine Learning, Supervised Learning, Text Mining, Visualization (Computer Graphics), Statistical Visualization, Jupyter, 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
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
33 reviews
Intermediate · Specialization · 3 - 6 Months

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Status: New
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), Probability Distribution, Linear Algebra, Regression Analysis
Beginner · Course · 1 - 3 Months
Status: Free Trial
Status: AI skills
IBM
IBM Data Science
Skills you'll gain: Dashboard, Data Visualization Software, Data Visualization, Predictive Modeling, SQL, Unsupervised Learning, Plotly, Interactive Data Visualization, Supervised Learning, Exploratory Data Analysis, Feature Engineering, Jupyter, Data Wrangling, Data Literacy, Data Analysis, Data Mining, Matplotlib, Generative AI, Professional Networking, Data Import/Export
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
146K 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
4.3
Rating, 4.3 out of 5 stars
66 reviews
Beginner · Course · 1 - 3 Months
Status: New
Status: Preview
Coursera
Explore and Visualize Data the Python Way
Skills you'll gain: Data Storytelling, Data Presentation, Plotly, Matplotlib, Exploratory Data Analysis, Plot (Graphics), Data Visualization, Interactive Data Visualization, Data Visualization Software, Statistical Visualization, Seaborn, Data Analysis, Box Plots, Descriptive Statistics, Jupyter, Data Science, Anomaly Detection, Python Programming, GitHub
Beginner · Course · 1 - 4 Weeks
Status: New
Status: Preview
Starweaver
Data Storytelling for Investors and Financial Advisors
Skills you'll gain: Data Storytelling, Data Visualization, Storytelling, Financial Data, Data Visualization Software, Financial Acumen, Finance, Process Flow Diagrams, Verbal Communication Skills, Presentations, Communication, Plotly, Matplotlib, Analysis, Customer Engagement, Target Audience
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
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, NumPy, Box Plots, Histogram, Python Programming
4.7
Rating, 4.7 out of 5 stars
2.7K reviews
Beginner · Course · 1 - 4 Weeks