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

University of Michigan
Foundations of Sports Analytics: Data, Representation, and Models in Sports
Skills you'll gain: Statistical Methods, Regression Analysis, Data Cleansing, Statistical Hypothesis Testing, Correlation Analysis, Matplotlib, Data Visualization, Statistical Analysis, Probability & Statistics, R Programming, Data Analysis, Descriptive Statistics, Pandas (Python Package), Python Programming
4.4
Rating, 4.4 out of 5 stars
186 reviews
Intermediate · Course · 1 - 3 Months
Status: Free
The University of Chicago
Global Warming II: Create Your Own Models in Python
Skills you'll gain: Mathematical Modeling, Environmental Issue, NumPy, Physical Science, Jupyter, Time Series Analysis and Forecasting, Simulations, Numerical Analysis, Environment, Interactive Data Visualization
4.1
Rating, 4.1 out of 5 stars
53 reviews
Mixed · Course · 1 - 3 Months
Edureka
Python for Data Visualization and Analysis
Skills you'll gain: Exploratory Data Analysis, Matplotlib, Data Visualization Software, Data Presentation, Seaborn, Statistical Visualization, Interactive Data Visualization, Plotly, Dashboard, Data-Driven Decision-Making, Scatter Plots, Data Analysis, Pandas (Python Package), Histogram, Box Plots, Jupyter, Web Applications
Intermediate · Course · 1 - 4 Weeks
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
4.6
Rating, 4.6 out of 5 stars
15 reviews
Intermediate · Guided Project · Less Than 2 Hours
Edureka
Python and Statistics Foundations
Skills you'll gain: Matplotlib, Probability & Statistics, Plotly, Statistical Analysis, Statistical Methods, Data Visualization Software, Statistical Hypothesis Testing, Data Manipulation, Seaborn, Data Science, Programming Principles, Pandas (Python Package), Statistics, Descriptive Statistics, Data Analysis, NumPy, Exploratory Data Analysis, Probability, Python Programming
Beginner · Course · 1 - 4 Weeks
Coursera Project Network
Create Interactive Dashboards with Streamlit and Python
Skills you'll gain: Plotly, Dashboard, Pandas (Python Package), Data Manipulation, Interactive Data Visualization, Data Visualization Software, Data Visualization, Web Applications, Application Development, Data Processing, Python Programming
4.7
Rating, 4.7 out of 5 stars
393 reviews
Intermediate · Guided Project · Less Than 2 Hours
Status: Free
University of London
Foundations of Data Science: K-Means Clustering in Python
Skills you'll gain: Matplotlib, Probability & Statistics, Data Visualization Software, Data Science, Unsupervised Learning, Statistics, NumPy, Python Programming, Pandas (Python Package), Data Analysis, Machine Learning Algorithms, Descriptive Statistics, Data Manipulation
4.6
Rating, 4.6 out of 5 stars
715 reviews
Beginner · Course · 1 - 3 Months
University of Illinois Urbana-Champaign
Machine Learning for Accounting with Python
Skills you'll gain: Machine Learning Algorithms, Unsupervised Learning, Scikit Learn (Machine Learning Library), Machine Learning, Text Mining, Applied Machine Learning, Time Series Analysis and Forecasting, Data Processing, Supervised Learning, Predictive Modeling, Python Programming, Random Forest Algorithm, Regression Analysis, Feature Engineering, Jupyter, Pandas (Python Package), Natural Language Processing, Decision Tree Learning, Performance Metric
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
43 reviews
Intermediate · Course · 1 - 3 Months
Packt
Python for Finance: Investment Fundamentals & Data Analytics
Skills you'll gain: Portfolio Management, Financial Modeling, Regression Analysis, Financial Analysis, Investment Management, Risk Analysis, Trend Analysis, Statistical Analysis, Financial Forecasting, Object Oriented Programming (OOP), Python Programming, Data Analysis, Simulations, Programming Principles, Pandas (Python Package), NumPy, Matplotlib, Jupyter
Intermediate · Course · 3 - 6 Months
Università di Napoli Federico II
Python: Istruzioni per l’uso
Skills you'll gain: Object Oriented Programming (OOP), Python Programming, Computer Programming, Scripting Languages, Scripting, Programming Principles, Data Management, Functional Design, Debugging, Database Management, Data Structures, File Management, Databases
4.2
Rating, 4.2 out of 5 stars
38 reviews
Beginner · Course · 1 - 4 Weeks
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
416 reviews
Beginner · Course · 1 - 4 Weeks
Arizona State University
Introduction to Machine Learning with Python
Skills you'll gain: Supervised Learning, Unsupervised Learning, Generative AI, Deep Learning, Image Analysis, Machine Learning Algorithms, Python Programming, Machine Learning, Artificial Neural Networks, Data Processing, Computer Vision, Predictive Modeling, Regression Analysis
3.6
Rating, 3.6 out of 5 stars
19 reviews
Beginner · Course · 1 - 4 Weeks