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 Pennsylvania
Data Analysis Using Python
Skills you'll gain: Matplotlib, Data Analysis, Pandas (Python Package), Data Cleansing, Pivot Tables And Charts, Data Visualization Software, Data Manipulation, Scatter Plots, NumPy, Data Transformation, Jupyter, Data Validation, Data Import/Export, Histogram, Data Structures, Programming Principles, Scripting Languages
4.5
Rating, 4.5 out of 5 stars
417 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
University of Michigan
Программирование для всех (начало работы с Python)
Skills you'll gain: Programming Principles, Computer Programming, Python Programming, Software Installation, Computational Thinking, Development Environment
4.8
Rating, 4.8 out of 5 stars
97 reviews
Mixed · Course · 1 - 3 Months
Status: New
Clemson University
Applied Data Science
Skills you'll gain: Dimensionality Reduction, Data Cleansing, Matplotlib, Regression Analysis, Unsupervised Learning, Data Science, Statistical Analysis, Statistical Methods, Descriptive Statistics, Data Analysis, Data Visualization Software, Applied Machine Learning, Pandas (Python Package), Big Data, Data-Driven Decision-Making, Exploratory Data Analysis, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Supervised Learning
Intermediate · Course · 1 - 3 Months
Status: Free Trial
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 Visualization, Data Manipulation, Data Science, Histogram, Package and Software Management, Data Import/Export, Python Programming
4.5
Rating, 4.5 out of 5 stars
73 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, Statistical Analysis, Data Visualization, Investment Management, Simulations, Financial Forecasting, Python Programming, Matplotlib, Pandas (Python Package), Jupyter, NumPy, Data Manipulation
Intermediate · Course · 3 - 6 Months
Universidad de los Andes
Programación en Python
Skills you'll gain: Data Visualization Software, Programming Principles, Computational Thinking, Matplotlib, Python Programming, NumPy, Computer Programming, Algorithms, Pandas (Python Package), Debugging, Data Manipulation, Integrated Development Environments, Data Structures, Data Analysis, Scripting
4.5
Rating, 4.5 out of 5 stars
193 reviews
Beginner · Course · 1 - 4 Weeks
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: New
Status: Free Trial
Packt
Foundations of ML & Python for Data Science
Skills you'll gain: Data Manipulation, Python Programming, Probability & Statistics, Pandas (Python Package), Data Science, Statistical Analysis, NumPy, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Descriptive Statistics, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Probability
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
University of Colorado Boulder
Introduction to Machine Learning: Supervised Learning
Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Scikit Learn (Machine Learning Library), Matplotlib, Random Forest Algorithm, Machine Learning, Predictive Modeling, Data Science, Python Programming, Classification And Regression Tree (CART), Mathematical Modeling, Applied Mathematics, Exploratory Data Analysis, Statistical Programming, Regression Analysis, Feature Engineering, Data Cleansing, Performance Tuning
Build toward a degree
3.4
Rating, 3.4 out of 5 stars
76 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
University of Michigan
Applied Machine Learning in Python
Skills you'll gain: Feature Engineering, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Decision Tree Learning, Unsupervised Learning, Dimensionality Reduction, Random Forest Algorithm
4.6
Rating, 4.6 out of 5 stars
8.6K reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
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
39 reviews
Beginner · Course · 1 - 4 Weeks