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
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
Status: Free Trial
IBM
AI Workflow: AI in Production
Skills you'll gain: Application Deployment, MLOps (Machine Learning Operations), Unit Testing, Docker (Software), Containerization, Kubernetes, IBM Cloud, User Feedback, Performance Analysis, Project Performance, Business Metrics, Natural Language Processing, Project Implementation, Time Series Analysis and Forecasting, Continuous Monitoring
4.5
Rating, 4.5 out of 5 stars
50 reviews
Advanced · Course · 1 - 4 Weeks
Status: New
Status: Free Trial
University of Colorado Boulder
BiteSize Python: Data Visualization
Skills you'll gain: Matplotlib, Plotly, Seaborn, Data Visualization Software, Statistical Visualization, Interactive Data Visualization, Scatter Plots, Box Plots, Heat Maps, Histogram
Intermediate · Course · 1 - 3 Months
Status: Free Trial
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
4.8
Rating, 4.8 out of 5 stars
12 reviews
Advanced · Specialization · 3 - 6 Months
Status: Free Trial
IBM
AI Workflow: Enterprise Model Deployment
Skills you'll gain: Apache Spark, Data Pipelines, MLOps (Machine Learning Operations), PySpark, IBM Cloud, Jupyter, Machine Learning, Containerization, Python Programming, Performance Tuning, Scalability, Design Thinking
4.2
Rating, 4.2 out of 5 stars
55 reviews
Advanced · Course · 1 - 4 Weeks
Status: Free Trial
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, Probability & Statistics, Python Programming
Intermediate · Course · 1 - 4 Weeks
Status: New
Status: Free Trial
Edureka
Applied Machine Learning with Python
Skills you'll gain: Unsupervised Learning, Supervised Learning, Applied Machine Learning, Machine Learning Algorithms, Data-Driven Decision-Making, Regression Analysis, Machine Learning, Scikit Learn (Machine Learning Library), Decision Tree Learning, Data Mining, Python Programming, Analytics, Statistical Modeling, Predictive Modeling, Statistical Methods, Classification And Regression Tree (CART), Statistical Analysis, Random Forest Algorithm, Feature Engineering, Dimensionality Reduction
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
Università di Napoli Federico II
Data Science con Python e R
Skills you'll gain: Unsupervised Learning, Supervised Learning, Object Oriented Programming (OOP), PyTorch (Machine Learning Library), R Programming, NumPy, Image Analysis, Pandas (Python Package), Matplotlib, Artificial Neural Networks, Python Programming, Deep Learning, Computer Programming, Scripting Languages, Computer Vision, Keras (Neural Network Library), Scripting, Machine Learning, Exploratory Data Analysis, Programming Principles
4.3
Rating, 4.3 out of 5 stars
51 reviews
Intermediate · Specialization · 1 - 3 Months
Status: Free Trial
University of London
Statistics and Clustering in Python
Skills you'll gain: Pandas (Python Package), NumPy, Probability & Statistics, Unsupervised Learning, Data Science, Statistics, Data Analysis, Statistical Analysis, Jupyter, Machine Learning Algorithms, Data Manipulation, Descriptive Statistics, Matplotlib, Data Visualization Software, Python Programming
4.4
Rating, 4.4 out of 5 stars
11 reviews
Beginner · Course · 1 - 4 Weeks
Coursera Project Network
Perform exploratory data analysis on retail data with Python
Skills you'll gain: Data-Driven Decision-Making, Business Analytics, Data Analysis, Data Cleansing, Statistical Analysis, Exploratory Data Analysis, Descriptive Statistics, Data Manipulation, Matplotlib, Customer Analysis, Analytical Skills, Trend Analysis, Pandas (Python Package), Python Programming, Jupyter
4.5
Rating, 4.5 out of 5 stars
15 reviews
Intermediate · Guided Project · Less Than 2 Hours
Status: Free Trial
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
28 reviews
Beginner · Specialization · 3 - 6 Months