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

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
Rating, 4 out of 5 stars
21 reviews
Intermediate · 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
810 reviews
Beginner · Course · 1 - 3 Months
Coursera Project Network
Python for Data Analysis: Pandas & NumPy
Skills you'll gain: Pandas (Python Package), NumPy, Data Analysis, Data Science, Python Programming, Data Structures, Data Manipulation, Computer Programming
4.4
Rating, 4.4 out of 5 stars
315 reviews
Beginner · Guided Project · Less Than 2 Hours
IBM
Python for Data Science, AI & Development
Skills you'll gain: Jupyter, Automation, Web Scraping, Python Programming, Data Manipulation, Data Import/Export, Scripting, Data Structures, Data Processing, Data Collection, Application Programming Interface (API), Pandas (Python Package), Programming Principles, NumPy, Object Oriented Programming (OOP), Computer Programming
4.6
Rating, 4.6 out of 5 stars
40K reviews
Beginner · Course · 1 - 3 Months
IBM
Data Analysis with Python
Skills you'll gain: Data Wrangling, Data Cleansing, Data Analysis, Data Manipulation, Data Transformation, Data Import/Export, Exploratory Data Analysis, Predictive Analytics, Statistical Analysis, Regression Analysis, Predictive Modeling, Pandas (Python Package), Scikit Learn (Machine Learning Library), Statistical Modeling, Machine Learning Methods, Feature Engineering, Python Programming, Data Pipelines, NumPy
4.7
Rating, 4.7 out of 5 stars
19K 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
4.4
Rating, 4.4 out of 5 stars
178 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
68 reviews
Intermediate · Course · 1 - 4 Weeks
IBM
Machine Learning with Python
Skills you'll gain: Supervised Learning, Feature Engineering, Jupyter, Unsupervised Learning, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Python Programming, Applied Machine Learning, Statistical Machine Learning, Predictive Modeling, Machine Learning, Dimensionality Reduction, Classification And Regression Tree (CART), Matplotlib, Regression Analysis, Random Forest Algorithm, Statistical Modeling, Data Manipulation
4.7
Rating, 4.7 out of 5 stars
17K reviews
Intermediate · Course · 1 - 3 Months
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
364 reviews
Beginner · Course · 1 - 3 Months
Coursera Project Network
Plots Creation using Matplotlib Python
Skills you'll gain: Matplotlib, Box Plots, Plot (Graphics), Seaborn, Data Visualization Software, Pandas (Python Package), Scatter Plots, Data Presentation, Data Import/Export, Histogram, Python Programming, Data Manipulation
3.9
Rating, 3.9 out of 5 stars
9 reviews
Beginner · Guided Project · Less Than 2 Hours
University of Colorado Boulder
BiteSize Python: Data Visualization
Skills you'll gain: Matplotlib, Plotly, Seaborn, Data Visualization Software, Statistical Visualization, Interactive Data Visualization, Data Presentation, Data Storytelling, Scatter Plots, Box Plots, Heat Maps, Histogram, Data Analysis
Intermediate · Course · 1 - 3 Months
University of Pennsylvania
Data Analysis Using Python
Skills you'll gain: Matplotlib, Data Analysis, Pandas (Python Package), Data Science, Data Cleansing, Pivot Tables And Charts, Data Visualization Software, Data Manipulation, Scatter Plots, NumPy, Data Quality, Jupyter, Data Import/Export, Histogram, Python Programming, Programming Principles
4.5
Rating, 4.5 out of 5 stars
413 reviews
Beginner · Course · 1 - 4 Weeks