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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

    • P

      Packt

      Deep Learning - Computer Vision for Beginners Using PyTorch

      Skills you'll gain: PyTorch (Machine Learning Library), Computer Vision, Matplotlib, Python Programming, Deep Learning, Pandas (Python Package), NumPy, Jupyter, Data Manipulation, Artificial Neural Networks

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Packt

      Advanced Generative Adversarial Networks (GANs)

      Skills you'll gain: Generative AI, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Deep Learning, Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Jupyter, Matplotlib, NumPy

      Advanced · Course · 3 - 6 Months

    • Status: New
      New
      C

      Coursera Instructor Network

      GenAI for Financial Analysts: Essential Predictive Analytics

      Skills you'll gain: Generative AI, Financial Forecasting, Predictive Modeling, Financial Data, Market Data, Predictive Analytics, Financial Analysis, Portfolio Management, Data Literacy, Risk Management, Spreadsheet Software, Financial Reporting, Artificial Intelligence, Investments, Interactive Data Visualization, Power BI

      Beginner · Course · 1 - 4 Weeks

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

      Universidades Anáhuac

      Ciencia de Datos e IA : De los Fundamentos a la Práctica

      Skills you'll gain: Predictive Modeling, Data Cleansing, Time Series Analysis and Forecasting, Database Management, Artificial Neural Networks, SQL, Predictive Analytics, Databases, Keras (Neural Network Library), Deep Learning, Applied Machine Learning, Tensorflow, Statistical Modeling, Data Modeling, Data Visualization Software, Forecasting, Pandas (Python Package), Data Science, Supervised Learning, Image Analysis

      Intermediate · Specialization · 1 - 3 Months

    • P

      Packt

      Deep Learning - Crash Course 2023

      Skills you'll gain: Tensorflow, Deep Learning, Keras (Neural Network Library), NumPy, Matplotlib, Python Programming, Artificial Neural Networks, Pandas (Python Package), Machine Learning Methods, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Network Model, Data Manipulation, Regression Analysis

      Beginner · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      P

      Packt

      Deep Learning with Keras and Practical Applications

      Skills you'll gain: Keras (Neural Network Library), Image Analysis, Exploratory Data Analysis, Deep Learning, Data Processing, Artificial Neural Networks, Computer Vision, Applied Machine Learning, Predictive Modeling, Data Import/Export, Pandas (Python Package), Classification And Regression Tree (CART), Matplotlib, Performance Tuning

      Intermediate · Course · 3 - 6 Months

    • C

      Coursera Project Network

      Cómo importar datos y crear visualizaciones en Python

      Skills you'll gain: Matplotlib, Data Visualization Software, Pandas (Python Package), Jupyter, Data Import/Export, Data Science, Data Analysis, Analytical Skills, Python Programming, Scripting

      Beginner · Guided Project · Less Than 2 Hours

    • P

      Packt

      Recommender Systems: An Applied Approach using Deep Learning

      Skills you'll gain: Deep Learning, Tensorflow, Data Processing, AI Personalization, Data Manipulation, Applied Machine Learning, Predictive Modeling, Machine Learning, Artificial Neural Networks, Data Visualization Software, System Design and Implementation, Matplotlib

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Clemson University

      Applied Data Science

      Skills you'll gain: Dimensionality Reduction, Data Cleansing, Matplotlib, Regression Analysis, Unsupervised Learning, Data Science, Statistical Analysis, Statistical Methods, Descriptive Statistics, Data Analysis, Data Visualization Software, Applied Machine Learning, Pandas (Python Package), Big Data, Data-Driven Decision-Making, Exploratory Data Analysis, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Supervised Learning

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      C

      Coursera Instructor Network

      Creating Impactful Data Visualizations with Generative AI

      Skills you'll gain: Data Storytelling, Data Presentation, Generative AI, Data Ethics, Prompt Engineering, Interactive Data Visualization, Plotly, Data Visualization Software, Data-Driven Decision-Making, Matplotlib, Seaborn, Artificial Intelligence, Automation, Data Integrity

      Intermediate · Course · 1 - 4 Weeks

    • U

      Universidad de los Andes

      Maestría en Inteligencia Analítica de Datos

      Skills you'll gain: Systems Thinking, Network Analysis, Unsupervised Learning, Data Storytelling, Deep Learning, Predictive Modeling, Data Presentation, Risk Analysis, Time Series Analysis and Forecasting, Project Management Life Cycle, MLOps (Machine Learning Operations), Marketing Analytics, Cash Flows, Matplotlib, Descriptive Analytics, Statistical Analysis, Simulations, Random Forest Algorithm, Operations Research, Solution Design

      Earn a degree

      Degree · 1 - 4 Years

    • U

      University of Leeds

      Master of Science in Data Science (Statistics)

      Skills you'll gain: Regression Analysis, Web Scraping, Statistical Hypothesis Testing, Matplotlib, Statistical Machine Learning, Statistical Methods, Classification And Regression Tree (CART), Network Analysis, Planning, Statistical Modeling, Applied Machine Learning, Data Analysis, Unsupervised Learning, Dimensionality Reduction, Data Visualization Software, Supervised Learning, Exploratory Data Analysis, Decision Tree Learning, Bayesian Statistics, Artificial Intelligence and Machine Learning (AI/ML)

      Earn a degree

      Degree · 1 - 4 Years

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

    • Deep Learning - Computer Vision for Beginners Using PyTorch: Packt
    • Advanced Generative Adversarial Networks (GANs): Packt
    • GenAI for Financial Analysts: Essential Predictive Analytics: Coursera Instructor Network
    • Ciencia de Datos e IA : De los Fundamentos a la Práctica: Universidades Anáhuac
    • Deep Learning - Crash Course 2023: Packt
    • Deep Learning with Keras and Practical Applications: Packt
    • Cómo importar datos y crear visualizaciones en Python: Coursera Project Network
    • Recommender Systems: An Applied Approach using Deep Learning: Packt
    • Applied Data Science: Clemson University
    • Creating Impactful Data Visualizations with Generative AI: Coursera Instructor 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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