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
Cervical Cancer Risk Prediction Using Machine Learning
Skills you'll gain: Exploratory Data Analysis, Data Analysis, Statistical Analysis, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Predictive Modeling, Matplotlib, Data Import/Export, Pandas (Python Package), Applied Machine Learning, Data Visualization Software, NumPy, Data Manipulation, Machine Learning
4.7
Rating, 4.7 out of 5 stars
38 reviews
Beginner · Guided Project · Less Than 2 Hours
Duke University
Setup Python
Skills you'll gain: Package and Software Management, Virtual Environment, Development Environment, Software Installation, Python Programming, Command-Line Interface
Beginner · Guided Project · Less Than 2 Hours
Status: Free Trial
University of Michigan
Creative Coding for Designers Using Python
Skills you'll gain: Animation and Game Design, Simulations, Computer Graphics, Python Programming, Creative Design, Object Oriented Programming (OOP), Scripting, Computer Programming Tools, Algorithms, Data Structures
Advanced · Course · 1 - 3 Months
Status: Free Trial
IBM
AI Workflow: Machine Learning, Visual Recognition and NLP
Skills you'll gain: Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Classification And Regression Tree (CART), Applied Machine Learning, Machine Learning Algorithms, Deep Learning, IBM Cloud, Image Analysis, Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Decision Tree Learning, Natural Language Processing, Feature Engineering, Scikit Learn (Machine Learning Library), Business Metrics, Computer Vision
4.4
Rating, 4.4 out of 5 stars
86 reviews
Advanced · Course · 1 - 4 Weeks
Status: New
Status: Free Trial
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
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
Status: Free Trial
Packt
Natural Language Processing with Real-World Projects
Skills you'll gain: Matplotlib, Natural Language Processing, Data Visualization, Deep Learning, Linear Algebra, Semantic Web, Seaborn, Python Programming, Machine Learning, NumPy, Supervised Learning, Pandas (Python Package), Artificial Neural Networks, Data Processing, Text Mining, Data Science, Unstructured Data, Applied Machine Learning, Markov Model, Dimensionality Reduction
4.7
Rating, 4.7 out of 5 stars
6 reviews
Beginner · Specialization · 3 - 6 Months
Coursera Instructor Network
Seaborn: Visualizing Basics to Advanced Statistical Plots
Skills you'll gain: Seaborn, Data Storytelling, Statistical Visualization, Data Visualization Software, Matplotlib, Box Plots, Scatter Plots, Heat Maps, Histogram
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
IBM
AI Workflow: Feature Engineering and Bias Detection
Skills you'll gain: Feature Engineering, Data Ethics, Unsupervised Learning, Dimensionality Reduction, Text Mining, Applied Machine Learning, Data Transformation, Anomaly Detection, Exploratory Data Analysis, Unstructured Data, Data Cleansing, Data Modeling, Artificial Intelligence and Machine Learning (AI/ML), Scikit Learn (Machine Learning Library), Natural Language Processing, Quality Assurance, Data Validation, Data Pipelines, Machine Learning Algorithms, Data Visualization
4.4
Rating, 4.4 out of 5 stars
72 reviews
Advanced · Course · 1 - 4 Weeks
Packt
Python Interactive Dashboards with Plotly Dash
Skills you'll gain: Plotly, Dashboard, Data Visualization Software, Interactive Data Visualization, Cascading Style Sheets (CSS), Hypertext Markup Language (HTML), Jupyter, Python Programming, Real Time Data, Pandas (Python Package), Data Manipulation
Intermediate · Course · 1 - 3 Months
Coursera Project Network
Análisis Exploratorio de Datos con Python
Skills you'll gain: Exploratory Data Analysis, Scatter Plots, Data Analysis, Correlation Analysis, Box Plots, Pandas (Python Package), Data Visualization, Histogram, Statistical Analysis, Python Programming, Software Installation
Intermediate · Guided Project · Less Than 2 Hours
Coursera Project Network
Use Python for Non-Data Role
Skills you'll gain: Jupyter, Microsoft Excel, Spreadsheet Software, Data Import/Export, Data Visualization Software, Python Programming, Data Literacy, Data Structures, Data Manipulation
Intermediate · Guided Project · Less Than 2 Hours