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
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
Coursera Project Network
Data Visualization & Storytelling in Python
Skills you'll gain: Data Storytelling, Plotly, Data Presentation, Matplotlib, Interactive Data Visualization, Seaborn, Data Visualization, Data Visualization Software, Statistical Visualization, Scatter Plots
5
Rating, 5 out of 5 stars
6 reviews
Beginner · Guided Project · Less Than 2 Hours
Status: New
Status: Free Trial
DeepLearning.AI
Python for Data Analytics
Skills you'll gain: Pandas (Python Package), Time Series Analysis and Forecasting, Matplotlib, Data Visualization Software, Statistical Inference, Statistical Analysis, Seaborn, Data Analysis, Exploratory Data Analysis, Descriptive Statistics, NumPy, Data Manipulation, Programming Principles, Python Programming, Regression Analysis, Forecasting
Beginner · Course · 1 - 3 Months
Status: Free
Coursera Project Network
Data Visualization using Plotnine and ggplot
Skills you'll gain: Exploratory Data Analysis, Box Plots, Plot (Graphics), Ggplot2, Data Visualization Software, Statistical Visualization, Scatter Plots, Histogram, Graphing
4.6
Rating, 4.6 out of 5 stars
15 reviews
Intermediate · Guided Project · Less Than 2 Hours
Status: Free
Coursera Project Network
Data Visualization using Plotly
Skills you'll gain: Plotly, Exploratory Data Analysis, Scatter Plots, Plot (Graphics), Data Visualization Software, Interactive Data Visualization
3.9
Rating, 3.9 out of 5 stars
46 reviews
Intermediate · Guided Project · Less Than 2 Hours
Coursera Project Network
Basic Statistics in Python (Correlations and T-tests)
Skills you'll gain: Exploratory Data Analysis, Box Plots, Correlation Analysis, Data Visualization, Scatter Plots, Data Cleansing, Data Manipulation, Pandas (Python Package), Statistical Hypothesis Testing, Descriptive Statistics, Statistical Analysis, Data Analysis, Probability & Statistics, Python Programming
4.4
Rating, 4.4 out of 5 stars
34 reviews
Beginner · Guided Project · Less Than 2 Hours
Status: Free Trial
Packt
Foundations of Data Analysis with Pandas and Python
Skills you'll gain: Data Import/Export, Pandas (Python Package), Pivot Tables And Charts, Jupyter, Microsoft Excel, Data Analysis, Data Manipulation, Python Programming, Data Structures, Integrated Development Environments, Development Environment, Software Installation, Object Oriented Programming (OOP)
4.8
Rating, 4.8 out of 5 stars
17 reviews
Beginner · Course · 1 - 4 Weeks
Coursera Project Network
Fake News Detection with Machine Learning
Skills you'll gain: Exploratory Data Analysis, Deep Learning, Text Mining, Artificial Neural Networks, Matplotlib, Data Cleansing, Data Import/Export, Data Analysis, Natural Language Processing, Data Processing, Data Manipulation, Machine Learning
4.6
Rating, 4.6 out of 5 stars
258 reviews
Beginner · Guided Project · Less Than 2 Hours
Coursera Project Network
Create a Tic-Tac-Toe game in Python
Skills you'll gain: Cross Platform Development, Event-Driven Programming, Visualization (Computer Graphics), Computer Graphics, Video Game Development, Python Programming, User Interface (UI)
4.6
Rating, 4.6 out of 5 stars
36 reviews
Intermediate · Guided Project · Less Than 2 Hours
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
Status: Free Trial
University of Illinois Urbana-Champaign
Accounting Data Analytics with Python
Skills you'll gain: Jupyter, Matplotlib, Pandas (Python Package), Data Manipulation, SQL, Data Visualization Software, Seaborn, Data Processing, Data Structures, NumPy, Programming Principles, Business Analysis, Databases, Accounting, Relational Databases, Data Modeling, Python Programming, Descriptive Statistics, Statistical Machine Learning, Regression Analysis
Build toward a degree
4.4
Rating, 4.4 out of 5 stars
108 reviews
Intermediate · Course · 1 - 3 Months
Coursera Project Network
Data Visualization with OpenAI API: Generate code with GenAI
Skills you'll gain: Prompt Engineering, Generative AI, Data Visualization Software, OpenAI, ChatGPT, Matplotlib, Data Analysis, Pandas (Python Package), Python Programming, Data Manipulation, Natural Language Processing
4.4
Rating, 4.4 out of 5 stars
9 reviews
Intermediate · Guided Project · Less Than 2 Hours