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

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
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
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
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
77 reviews
Intermediate · Course · 1 - 3 Months
Coursera Project Network
Plots Creation using Matplotlib Python
Skills you'll gain: Matplotlib, Box Plots, Plot (Graphics), Seaborn, Data Visualization Software, Pandas (Python Package), Scatter Plots, Data Presentation, Data Import/Export, Histogram, Python Programming, Data Manipulation, Data Structures
3.9
Rating, 3.9 out of 5 stars
9 reviews
Beginner · Guided Project · Less Than 2 Hours
Coursera Project Network
Exploratory Data Analysis With Python and Pandas
Skills you'll gain: Exploratory Data Analysis, Correlation Analysis, Matplotlib, Seaborn, Data Cleansing, Data Visualization, Pandas (Python Package), Data Analysis, Data Manipulation, NumPy, Statistical Analysis
4.5
Rating, 4.5 out of 5 stars
437 reviews
Beginner · Guided Project · Less Than 2 Hours
Status: Free Trial
Duke University
Data Science with NumPy, Sets, and Dictionaries
Skills you'll gain: NumPy, Data Structures, Data Analysis, Object Oriented Programming (OOP), Image Analysis, Data Science, Text Mining, Data Transformation, Data Manipulation, Big Data, Performance Tuning, Python Programming
3.5
Rating, 3.5 out of 5 stars
13 reviews
Beginner · Course · 1 - 4 Weeks
Coursera Project Network
Support Vector Machines in Python, From Start to Finish
Skills you'll gain: Scikit Learn (Machine Learning Library), Tensorflow, Cloud Computing, Classification And Regression Tree (CART), Supervised Learning, Applied Machine Learning, Machine Learning Methods, Pandas (Python Package), Data Visualization, Data Processing
4.7
Rating, 4.7 out of 5 stars
155 reviews
Intermediate · Guided Project · Less Than 2 Hours
Coursera Project Network
Principal Component Analysis with NumPy
Skills you'll gain: Exploratory Data Analysis, NumPy, Data Visualization, Data Analysis, Seaborn, Matplotlib, Cloud Computing, Jupyter, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Python Programming, Linear Algebra
4.6
Rating, 4.6 out of 5 stars
295 reviews
Intermediate · Guided Project · Less Than 2 Hours
Coursera Project Network
Data Analysis Using Pyspark
Skills you'll gain: PySpark, Matplotlib, Apache Spark, Big Data, Data Processing, Distributed Computing, Data Visualization, Data Analysis, Data Manipulation, Query Languages, Google Cloud Platform
4.5
Rating, 4.5 out of 5 stars
302 reviews
Intermediate · Guided Project · Less Than 2 Hours
Status: Free Trial
IBM
AI Workflow: Business Priorities and Data Ingestion
Skills you'll gain: Design Thinking, Data Science, Artificial Intelligence, Strategic Thinking, Data Pipelines, Data Validation, Data Processing, Workflow Management, Data Quality, Business Priorities, NumPy, IBM Cloud, Python Programming
4.3
Rating, 4.3 out of 5 stars
164 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
Vanderbilt University
Introduction to Data, Signal, and Image Analysis with MATLAB
Skills you'll gain: Data Visualization, Image Analysis, Data Visualization Software, Machine Learning Methods, Matlab, Applied Machine Learning, Statistical Methods, Data Analysis, Data Processing, Computer Vision, Regression Analysis
4.7
Rating, 4.7 out of 5 stars
220 reviews
Intermediate · Course · 1 - 3 Months