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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

    • D

      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
      Free Trial
      U

      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
      Free Trial
      I

      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
      New
      Status: Free Trial
      Free Trial
      E

      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

    • C

      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
      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

    • C

      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
      Free Trial
      I

      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

    • P

      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

    • C

      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

    • C

      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

    • P

      Packt

      Machine Learning: Random Forest with Python from Scratch©

      Skills you'll gain: Matplotlib, Applied Machine Learning, Random Forest Algorithm, Predictive Modeling, Predictive Analytics, Machine Learning Algorithms, Data Visualization, Machine Learning, Programming Principles, Data Manipulation, Feature Engineering, Data Cleansing, Supervised Learning, Python Programming, Data Processing, NumPy, Pandas (Python Package)

      Beginner · Course · 1 - 3 Months

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

    • Setup Python: Duke University
    • Creative Coding for Designers Using Python: University of Michigan
    • AI Workflow: Machine Learning, Visual Recognition and NLP: IBM
    • Python and Statistics Foundations: Edureka
    • Clean and analyze social media usage data with Python: Coursera Project Network
    • Natural Language Processing with Real-World Projects: Packt
    • Seaborn: Visualizing Basics to Advanced Statistical Plots: Coursera Instructor Network
    • AI Workflow: Feature Engineering and Bias Detection: IBM
    • Python Interactive Dashboards with Plotly Dash: Packt
    • Análisis Exploratorio de Datos con Python: Coursera Project Network

    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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