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    • Matplotlib

    Matplotlib Courses Online

    Explore Matplotlib for data visualization in Python. Learn to create a variety of plots and charts to represent data effectively.

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    Explore the Matplotlib Course Catalog

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      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
      Free Trial
      I

      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
      Free Trial
      P

      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

    • Status: Free Trial
      Free Trial
      U

      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

    • Status: Free Trial
      Free Trial
      U

      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

    • C

      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
      Free Trial
      L

      LearnQuest

      Demand Forecasting Using Time Series

      Skills you'll gain: Time Series Analysis and Forecasting, Demand Planning, Trend Analysis, Data Visualization, Customer Demand Planning, Regression Analysis, Matplotlib, Forecasting, Predictive Modeling, Supply Chain Management, Data Analysis, Exploratory Data Analysis, Pandas (Python Package), Statistical Modeling

      3.4
      Rating, 3.4 out of 5 stars
      ·
      36 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      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

    • U

      University of Illinois Urbana-Champaign

      Getting Started with CyberGIS

      Skills you'll gain: Geospatial Information and Technology, Geographic Information Systems, Apache Hadoop, Spatial Data Analysis, Geospatial Mapping, Spatial Analysis, Big Data, Matplotlib, Data Processing, Computational Thinking, Distributed Computing, Data Manipulation

      4.2
      Rating, 4.2 out of 5 stars
      ·
      30 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      Codio

      Select Topics in Python

      Skills you'll gain: Matplotlib, Version Control, Text Mining, GitHub, Large Language Modeling, Django (Web Framework), Package and Software Management, Platform As A Service (PaaS), Plot (Graphics), Application Deployment, Object-Relational Mapping, Natural Language Processing, Data Visualization Software, Data Visualization, Jupyter, Development Environment, Data Processing, Virtual Environment, Data Transformation, Dependency Analysis

      4
      Rating, 4 out of 5 stars
      ·
      22 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Packt

      Advanced Data Analysis and Visualization with Pandas

      Skills you'll gain: Matplotlib, Pandas (Python Package), Data Import/Export, Data Visualization Software, Microsoft Excel, NumPy, Time Series Analysis and Forecasting, Data Analysis, Data Manipulation, Python Programming

      4.8
      Rating, 4.8 out of 5 stars
      ·
      9 reviews

      Advanced · Course · 1 - 3 Months

    • C

      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

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    In summary, here are 10 of our most popular matplotlib courses

    • BiteSize Python: Data Visualization: University of Colorado Boulder
    • AI Workflow: Enterprise Model Deployment: IBM
    • Natural Language Processing with Real-World Projects: Packt
    • Statistics and Clustering in Python: University of London
    • Data Science con Python e R: Università di Napoli Federico II
    • Perform exploratory data analysis on retail data with Python: Coursera Project Network
    • Demand Forecasting Using Time Series: LearnQuest
    • Data Wrangling with Python: University of Colorado Boulder
    • Getting Started with CyberGIS: University of Illinois Urbana-Champaign
    • Select Topics in Python: Codio

    Frequently Asked Questions about Matplotlib

    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.‎

    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.‎

    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.‎

    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.‎

    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.‎

    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.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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