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

Microsoft
Microsoft Python Development
Skills you'll gain: Data Ethics, Data Structures, Generative AI, Matplotlib, Version Control, Git (Version Control System), Data Transformation, DevOps, Agile Methodology, Web Development, Data Cleansing, Scripting, Flask (Web Framework), GitHub, Pandas (Python Package), Debugging, Data Visualization Software, Restful API, Application Deployment, Test Driven Development (TDD)
4
Rating, 4 out of 5 stars
51 reviews
Beginner · Professional Certificate · 3 - 6 Months
Coursera Project Network
Machine Learning Pipelines with Azure ML Studio
Skills you'll gain: Applied Machine Learning, Classification And Regression Tree (CART), Predictive Modeling, Microsoft Azure, Machine Learning, Predictive Analytics, Feature Engineering, Data Processing, Data Cleansing, Application Deployment, Exploratory Data Analysis
4.5
Rating, 4.5 out of 5 stars
793 reviews
Beginner · Guided Project · Less Than 2 Hours
Coursera Project Network
Create Interactive Dashboards with Streamlit and Python
Skills you'll gain: Plotly, Dashboard, Pandas (Python Package), Data Manipulation, Interactive Data Visualization, Data Visualization Software, Data Visualization, Web Applications, Application Development, Data Processing, Python Programming
4.7
Rating, 4.7 out of 5 stars
392 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 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
Coursera Project Network
Analyze Box Office Data with Seaborn and Python
Skills you'll gain: Exploratory Data Analysis, Seaborn, Plotly, Data Visualization Software, Interactive Data Visualization, Data Analysis, Python Programming, Scatter Plots, Statistical Analysis, Predictive Modeling, Box Plots, Histogram, Jupyter, Cloud Applications
4.5
Rating, 4.5 out of 5 stars
179 reviews
Intermediate · Guided Project · Less Than 2 Hours
University of Michigan
Sports Performance Analytics
Skills you'll gain: Forecasting, Statistical Methods, Regression Analysis, Data Cleansing, Scikit Learn (Machine Learning Library), Supervised Learning, Statistical Hypothesis Testing, Correlation Analysis, Predictive Analytics, Predictive Modeling, Matplotlib, Applied Machine Learning, Data Visualization, Kinesiology, Injury Prevention, Data Analysis, Machine Learning Methods, Analytics, Advanced Analytics, Statistical Analysis
4.5
Rating, 4.5 out of 5 stars
254 reviews
Intermediate · Specialization · 3 - 6 Months
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
294 reviews
Intermediate · Guided Project · Less Than 2 Hours
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, Unsupervised Learning, Classification And Regression Tree (CART), Dimensionality Reduction, Random Forest Algorithm, Regression Analysis, Artificial Neural Networks
4.6
Rating, 4.6 out of 5 stars
8.5K reviews
Intermediate · Course · 1 - 4 Weeks
Coursera Project Network
Logistic Regression with NumPy and Python
Skills you'll gain: Matplotlib, Data Visualization, Seaborn, Exploratory Data Analysis, NumPy, Data Analysis, Jupyter, Machine Learning, Python Programming, Supervised Learning, Algorithms
4.5
Rating, 4.5 out of 5 stars
393 reviews
Beginner · Guided Project · Less Than 2 Hours
Coursera Project Network
Data Visualization with Plotly Express
Skills you'll gain: Plotly, Interactive Data Visualization, Data Visualization Software, Scatter Plots, Ggplot2, Exploratory Data Analysis
4.7
Rating, 4.7 out of 5 stars
269 reviews
Intermediate · Guided Project · Less Than 2 Hours
University of Michigan
Capstone: Retrieving, Processing, and Visualizing Data with Python
Skills you'll gain: Data Processing, Data Cleansing, Data Storytelling, Data Collection, Data Visualization Software, Data Manipulation, Data Access, Python Programming, Exploratory Data Analysis, Algorithms, Web Scraping, Unstructured Data, Text Mining
4.7
Rating, 4.7 out of 5 stars
14K reviews
Beginner · Course · 1 - 3 Months
Status: Free
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, Statistics, Financial Trading, Financial Data, Data Manipulation, Statistical Analysis, Regression Analysis, Financial Analysis, Jupyter, Financial Modeling, Python Programming, Data Import/Export
4.4
Rating, 4.4 out of 5 stars
4.4K reviews
Intermediate · Course · 1 - 4 Weeks