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

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
Fractal Analytics
Python for Data Science
Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Visualization, Statistical Analysis, Probability & Statistics, Statistics, Data Wrangling, Pandas (Python Package), Data Analysis, Jupyter, Data Processing, Data Manipulation, Data Science, Data Transformation, Data Cleansing, Python Programming, Matplotlib
4.1
Rating, 4.1 out of 5 stars
41 reviews
Beginner · Course · 1 - 3 Months
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
Data Analysis Using Pyspark
Skills you'll gain: PySpark, Matplotlib, Apache Spark, Big Data, Data Processing, Distributed Computing, Data Management, Data Visualization, Data Analysis, Data Manipulation, Data Cleansing, Query Languages, Google Cloud Platform
4.5
Rating, 4.5 out of 5 stars
296 reviews
Intermediate · Guided Project · Less Than 2 Hours
Packt
Machine Learning: Random Forest with Python from Scratch©
Skills you'll gain: Applied Machine Learning, Random Forest Algorithm, Predictive Modeling, Matplotlib, Classification And Regression Tree (CART), Machine Learning, Supervised Learning, Data Manipulation, Python Programming, Data Transformation, Programming Principles, Data Cleansing, Data Visualization Software, Pandas (Python Package), NumPy
Beginner · Course · 1 - 3 Months
Universidad Nacional Autónoma de México
Python: de cero a analista de datos
Skills you'll gain: Exploratory Data Analysis, Matplotlib, Pandas (Python Package), Extract, Transform, Load, Data Analysis, NumPy, Package and Software Management, Time Series Analysis and Forecasting, Data Visualization Software, Data Science, Python Programming, Jupyter, Graphing, Data Processing, Data Import/Export, Data Manipulation, Scripting, Software Installation, Computational Thinking, Mac OS
4.2
Rating, 4.2 out of 5 stars
31 reviews
Beginner · Specialization · 3 - 6 Months
Duke University
Data Visualization and Modeling in Python
Skills you'll gain: Matplotlib, Predictive Modeling, Pandas (Python Package), Data Visualization Software, Visualization (Computer Graphics), Regression Analysis, Data Analysis, Data Cleansing, Data Science, Machine Learning Algorithms, Statistical Inference, Statistical Methods, Probability & Statistics, Python Programming
Intermediate · Course · 1 - 4 Weeks
Corporate Finance Institute
Python Fundamentals
Skills you'll gain: Matplotlib, Financial Data, Exploratory Data Analysis, Statistical Methods, Pandas (Python Package), Financial Analysis, Data Visualization Software, Statistical Analysis, Data Manipulation, NumPy, Seaborn, Data Analysis, Data Science, Data Transformation, Data Import/Export, Python Programming, Data Cleansing, Computer Programming
Advanced · Course · 1 - 3 Months
Duke University
Programming for Python Data Science: Principles to Practice
Skills you'll gain: Matplotlib, Pandas (Python Package), NumPy, Computational Thinking, Predictive Modeling, Data Cleansing, Data Structures, Data Visualization Software, Visualization (Computer Graphics), Debugging, Data Analysis, Object Oriented Programming (OOP), Data Manipulation, Regression Analysis, Python Programming, Data Science, Algorithms, Simulations, Statistical Methods, Program Development
3.9
Rating, 3.9 out of 5 stars
63 reviews
Beginner · Specialization · 3 - 6 Months
Johns Hopkins University
Data Visualization in R with ggplot2
Skills you'll gain: Ggplot2, Scatter Plots, Plot (Graphics), Data Visualization, Data Visualization Software, Heat Maps, R Programming, Graphing, Data Wrangling, Graphics Software
4.9
Rating, 4.9 out of 5 stars
125 reviews
Intermediate · Course · 1 - 4 Weeks
Coursera Project Network
Data Visualization & Storytelling in Python
Skills you'll gain: Data Storytelling, Plotly, Data Presentation, Matplotlib, Interactive Data Visualization, Seaborn, Data Visualization, Data Visualization Software, Statistical Visualization, Scatter Plots
Beginner · Guided Project · Less Than 2 Hours
Duke University
Python Essentials for MLOps
Skills you'll gain: Pandas (Python Package), MLOps (Machine Learning Operations), NumPy, Unit Testing, Data Manipulation, Software Testing, Data Import/Export, Python Programming, Debugging, Data Structures, Object Oriented Programming (OOP), Scripting, Program Development, Numerical Analysis, Application Programming Interface (API), Command-Line Interface, Computer Programming
4.2
Rating, 4.2 out of 5 stars
236 reviews
Intermediate · Course · 1 - 3 Months