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 Michigan
Sports Performance Analytics
Skills you'll gain: Forecasting, Statistical Methods, Regression Analysis, Data Cleansing, Scikit Learn (Machine Learning Library), Supervised Learning, Data Processing, Statistical Hypothesis Testing, Correlation Analysis, Predictive Analytics, Predictive Modeling, Matplotlib, Applied Machine Learning, Kinesiology, Injury Prevention, Statistical Machine Learning, Analytics, Data Analysis, Statistical Analysis, Probability & Statistics
4.5
Rating, 4.5 out of 5 stars
256 reviews
Intermediate · Specialization · 3 - 6 Months
Status: Free Trial
Vanderbilt University
MATLAB Programming for Engineers and Scientists
Skills you'll gain: Data Visualization, Image Analysis, Data Visualization Software, Matlab, Machine Learning Methods, Algorithms, User Interface (UI), Applied Machine Learning, Object Oriented Programming (OOP), Statistical Methods, Mathematical Software, Engineering Calculations, Data Analysis, Data Processing, Engineering Analysis, Computer Programming, Programming Principles, UI Components, Software Design, Debugging
4.8
Rating, 4.8 out of 5 stars
18K reviews
Beginner · Specialization · 3 - 6 Months
Status: New
Packt
NumPy, Matplotlib & Pandas – Data Science Prerequisites
Skills you'll gain: Matplotlib, Pandas (Python Package), NumPy, Data Visualization Software, Scatter Plots, Data Manipulation, Scikit Learn (Machine Learning Library), Data Science, Statistical Methods, Data Analysis Software, Python Programming, Machine Learning, Probability Distribution, Classification And Regression Tree (CART), Linear Algebra
Beginner · Course · 1 - 3 Months
The Hong Kong University of Science and Technology
Python and Statistics for Financial Analysis
Skills you'll gain: Statistical Inference, Statistical Methods, Pandas (Python Package), Probability & Statistics, Risk Analysis, Financial Trading, Financial Data, Data Manipulation, Statistical Analysis, Regression Analysis, Financial Analysis, Jupyter, Financial Modeling
4.4
Rating, 4.4 out of 5 stars
4.5K reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
Meta
Python Data Analytics
Skills you'll gain: Pandas (Python Package), Data Analysis, Exploratory Data Analysis, Data Modeling, Data Manipulation, Jupyter, Data Processing, Matplotlib, Programming Principles, Data Cleansing, Data Visualization Software, Python Programming, Scripting
4.3
Rating, 4.3 out of 5 stars
199 reviews
Beginner · Course · 1 - 3 Months
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
Nanjing University
用Python玩转数据 Data Processing Using Python
Skills you'll gain: Object Oriented Programming (OOP), Data Structures, Statistical Analysis, Data Mining, Data Analysis, Data Processing, Pandas (Python Package), NumPy, Web Scraping, Python Programming, Data Manipulation, Programming Principles, User Interface (UI) Design
4.7
Rating, 4.7 out of 5 stars
1.6K reviews
Mixed · Course · 1 - 3 Months
Packt
Machine Learning: Random Forest with Python from Scratch©
Skills you'll gain: Matplotlib, Applied Machine Learning, Random Forest Algorithm, Predictive Modeling, Predictive Analytics, Machine Learning Algorithms, Data Visualization, Machine Learning, Programming Principles, Data Manipulation, Feature Engineering, Data Cleansing, Supervised Learning, Python Programming, Data Processing, NumPy, Pandas (Python Package)
Beginner · Course · 1 - 3 Months
Status: Free Trial
Google
Get Started with Python
Skills you'll gain: Object Oriented Programming (OOP), Data Analysis, Data Structures, Jupyter, Python Programming, NumPy, Pandas (Python Package), Programming Principles, Scripting, Data Manipulation, Algorithms
4.8
Rating, 4.8 out of 5 stars
1.6K reviews
Advanced · Course · 1 - 3 Months
Status: Free Trial
Vanderbilt University
Introduction to Programming with MATLAB
Skills you'll gain: Matlab, Computer Programming, Programming Principles, UI Components, Software Design, Debugging, Mathematical Software, Development Environment, Computer Science, File Management, Algorithms, Data Import/Export, Data Structures, Engineering Calculations, Plot (Graphics), Data Management
4.8
Rating, 4.8 out of 5 stars
18K reviews
Beginner · Course · 1 - 3 Months
University of Michigan
Llama for Python Programmers
Skills you'll gain: Large Language Modeling, Prompt Engineering, Application Development, Generative AI, Python Programming, Natural Language Processing, Open Source Technology
4.7
Rating, 4.7 out of 5 stars
15 reviews
Intermediate · Course · 1 - 4 Weeks
Packt
Python for Finance: Investment Fundamentals & Data Analytics
Skills you'll gain: Regression Analysis, Risk Analysis, Portfolio Management, Financial Analysis, Risk Management, Financial Modeling, Finance, Statistical Analysis, Data Visualization, Investment Management, Investments, Simulations, Financial Market, Financial Forecasting, Python Programming, Matplotlib, Pandas (Python Package), Jupyter, NumPy, Data Manipulation
Intermediate · Course · 3 - 6 Months