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

Coursera Project Network
Cómo importar datos y crear visualizaciones en Python
Skills you'll gain: Matplotlib, Data Visualization Software, Pandas (Python Package), Jupyter, Data Import/Export, Data Science, Data Analysis, Analytical Skills, Python Programming, Scripting
Beginner · Guided Project · Less Than 2 Hours
Status: Free
Coursera Project Network
Choisir la Meilleure Méthode pour Illustrer les Données
Skills you'll gain: Datamaps, Interactive Data Visualization, Heat Maps, Data Visualization Software, Statistical Visualization, Data Storytelling, Data Presentation, Data Wrangling, Data Access, Correlation Analysis, Scatter Plots, Exploratory Data Analysis
4.3
Rating, 4.3 out of 5 stars
9 reviews
Beginner · Guided Project · Less Than 2 Hours
Status: New
Corporate Finance Institute
Practical Data Science for Data Analysts
Skills you'll gain: Feature Engineering, Data Import/Export, Matplotlib, Exploratory Data Analysis, Data Science, Regression Analysis, Financial Data, Data Analysis, Business Analytics, Data Cleansing, Data Literacy, Pandas (Python Package), Machine Learning Algorithms, Financial Analysis, Predictive Analytics, Predictive Modeling, Applied Machine Learning, Classification And Regression Tree (CART), Statistical Modeling, Statistical Analysis
4.9
Rating, 4.9 out of 5 stars
11 reviews
Advanced · Specialization · 3 - 6 Months
Databricks
Introduction to Computational Statistics for Data Scientists
Skills you'll gain: Bayesian Statistics, Databricks, Sampling (Statistics), Statistical Modeling, Probability, Classification And Regression Tree (CART), Jupyter, Regression Analysis, Statistical Programming, Predictive Modeling, Statistical Analysis, Statistical Machine Learning, Probability Distribution, Data Science, Markov Model, Statistics, NumPy, Simulations, Mathematical Software, Statistical Inference
4
Rating, 4 out of 5 stars
109 reviews
Beginner · Specialization · 1 - 3 Months
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)
4.1
Rating, 4.1 out of 5 stars
52 reviews
Beginner · Specialization · 3 - 6 Months
Coursera Project Network
Clean and analyze social media usage data with Python
Skills you'll gain: Data Visualization, Matplotlib, Marketing Analytics, Web Scraping, Social Media Marketing, Python Programming, Social Media, Pandas (Python Package), Text Mining, Trend Analysis, Data Analysis, Data Wrangling, Exploratory Data Analysis, Data Cleansing, Jupyter
4.1
Rating, 4.1 out of 5 stars
32 reviews
Intermediate · Guided Project · Less Than 2 Hours
University of Colorado Boulder
Data Wrangling with Python
Skills you'll gain: Matplotlib, Web Scraping, Pivot Tables And Charts, Pandas (Python Package), Data Integration, Seaborn, Data Manipulation, Exploratory Data Analysis, Data Wrangling, Data Visualization, Data-Driven Decision-Making, Data Transformation, Data Processing, NumPy, Data Presentation, Plot (Graphics), Data Visualization Software, Descriptive Statistics, Data Cleansing, Data Import/Export
4.6
Rating, 4.6 out of 5 stars
27 reviews
Beginner · Specialization · 3 - 6 Months
Status: Free
National Taiwan University
用 Python 做商管程式設計（三）(Programming for Business Computing in Python (3))
Skills you'll gain: Statistical Visualization, Matplotlib, Web Scraping, Business Logic, Machine Learning, Operational Analysis, Business Analytics, Python Programming, Programming Principles, Business Economics, User Interface (UI) Design, Computational Thinking, UI Components, Object Oriented Programming (OOP), Data Analysis
4.9
Rating, 4.9 out of 5 stars
161 reviews
Mixed · Course · 1 - 3 Months
Status: New
Coursera Project Network
Scripting with Alteryx: Python and R for Advanced Workflows
Skills you'll gain: Alteryx, Predictive Modeling, Scripting, R Programming, Predictive Analytics, Advanced Analytics, Trend Analysis, Exploratory Data Analysis, Applied Machine Learning, Data Manipulation, Data Analysis, Employee Retention, Data Transformation, Risk Modeling
Intermediate · Guided Project · Less Than 2 Hours
Status: New
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
Conducting Exploratory Data Analysis
Skills you'll gain: Matplotlib, Seaborn, Exploratory Data Analysis, Data Visualization, Pandas (Python Package), Plot (Graphics), Statistical Visualization, Data Visualization Software, Scatter Plots, Data Analysis, Box Plots, Python Programming
Intermediate · Guided Project · Less Than 2 Hours
Status: Free
Northeastern University
Data Visualization with Python & R for Engineers
Skills you'll gain: Data Storytelling, Statistical Visualization, Data-Driven Decision-Making, Data Visualization Software, Data Mining, Exploratory Data Analysis, Data Cleansing, Data Manipulation, Graphing, Big Data, Data Transformation, Programming Principles, Python Programming, Data Structures, Scripting
Mixed · Course · 1 - 4 Weeks