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    • Material Science

    Material Science Courses Online

    Explore material science for understanding material properties. Learn about the structure, properties, and applications of various materials.

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    Explore the Material Science Course Catalog

    • J

      Johns Hopkins University

      Neuroscience and Neuroimaging

      Skills you'll gain: Magnetic Resonance Imaging, Neurology, Medical Imaging, Anatomy, Radiology, Image Analysis, Data Analysis, Analysis, Data Manipulation, Experimentation, R Programming, Statistical Analysis, Psychology, Network Analysis, Data Processing, Regression Analysis, Research Design, Scientific Visualization, Time Series Analysis and Forecasting, Matlab

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.2K reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Colorado Boulder

      Data Science Foundations: Statistical Inference

      Skills you'll gain: Statistical Hypothesis Testing, Probability, Probability & Statistics, Statistical Inference, Statistical Methods, Probability Distribution, Bayesian Statistics, Statistical Modeling, Sampling (Statistics), Statistical Analysis, Data Ethics, Data Science, Quantitative Research, Statistics, Sample Size Determination, Descriptive Statistics, Correlation Analysis

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      322 reviews

      Intermediate · Specialization · 3 - 6 Months

    • D

      DeepLearning.AI

      Generative Adversarial Networks (GANs)

      Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Artificial Neural Networks, Data Ethics, Applied Machine Learning, Computer Vision, Machine Learning, Unsupervised Learning, Artificial Intelligence, Information Privacy, Performance Testing, Machine Learning Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.3K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: AI skills
      AI skills
      M

      Meta

      Meta Data Analyst

      Skills you'll gain: Data Storytelling, Business Metrics, Key Performance Indicators (KPIs), Data Management, Data Collection, Data Governance, Bayesian Statistics, Data Analysis, Descriptive Statistics, Statistical Hypothesis Testing, Information Privacy, Data Cleansing, Pandas (Python Package), Data Visualization Software, Statistical Inference, Spreadsheet Software, Correlation Analysis, Google Sheets, Exploratory Data Analysis, Data Modeling

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.4K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Introduction to Data Analysis using Microsoft Excel

      Skills you'll gain: Microsoft Excel, Excel Formulas, Spreadsheet Software, Pivot Tables And Charts, Data Analysis, Data Manipulation, Data Mining

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4K reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • U

      University of Amsterdam

      Quantitative Methods

      Skills you'll gain: Scientific Methods, Research Design, Sampling (Statistics), Science and Research, Research, Research Methodologies, Surveys, Quantitative Research, Social Sciences, Experimentation, Ethical Standards And Conduct

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.3K reviews

      Mixed · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Health Informatics

      Skills you'll gain: Health Informatics, Health Technology, Change Management, Vendor Management, Health Policy, Health Care, Process Improvement, Workflow Management, Health Care Administration, Healthcare Industry Knowledge, Health Information Management, Clinical Leadership, Organizational Change, Decision Support Systems, Solution Design, IT Management, Clinical Data Management, Health Systems, Project Management, Databases

      4.4
      Rating, 4.4 out of 5 stars
      ·
      888 reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of California San Diego

      Bioinformatics

      Skills you'll gain: Bioinformatics, Molecular Biology, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Data Analysis, Computational Thinking, Graph Theory, Markov Model, Biochemistry, Life Sciences, Microbiology, Statistical Analysis, Medical Science and Research, Precision Medicine, Biology, Pharmacology, Algorithms, Infectious Diseases, Data Mining

      4.3
      Rating, 4.3 out of 5 stars
      ·
      1.2K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Colorado Boulder

      Embedding Sensors and Motors

      Skills you'll gain: Control Systems, Process Control, Embedded Systems, Machine Controls, Programmable Logic Controllers, Embedded Software, Electronic Systems, Automation Engineering, Hardware Design, Basic Electrical Systems, Electronic Hardware, Manufacturing Processes, Electrical Engineering, Electronics Engineering, Electronics, Manufacturing and Production, Electrical Systems, Electronic Components, Power Electronics, Three-Phase

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.8K reviews

      Intermediate · Specialization · 3 - 6 Months

    • K

      Korea Advanced Institute of Science and Technology(KAIST)

      Electrodynamics: Electric and Magnetic Fields

      Skills you'll gain: Electrical Engineering, Physics, Electrical Systems, Applied Mathematics, Electronic Systems, Mechanics, Energy and Utilities, Engineering Analysis, Differential Equations, Mathematical Modeling, Calculus

      4.8
      Rating, 4.8 out of 5 stars
      ·
      230 reviews

      Advanced · Course · 1 - 3 Months

    • U

      University of Washington

      Machine Learning Foundations: A Case Study Approach

      Skills you'll gain: Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Artificial Intelligence, Deep Learning, Classification And Regression Tree (CART), Computer Vision, Application Development, Predictive Modeling, Natural Language Processing, Text Mining, Data Mining, Information Architecture

      4.6
      Rating, 4.6 out of 5 stars
      ·
      14K reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of California San Diego

      Introduction to Big Data

      Skills you'll gain: Big Data, Apache Hadoop, Scalability, Data Processing, Data Science, Distributed Computing, Unstructured Data, Data Analysis, Real Time Data, Data Storage

      4.6
      Rating, 4.6 out of 5 stars
      ·
      11K reviews

      Mixed · Course · 1 - 3 Months

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    In summary, here are 10 of our most popular material science courses

    • Neuroscience and Neuroimaging: Johns Hopkins University
    • Data Science Foundations: Statistical Inference: University of Colorado Boulder
    • Generative Adversarial Networks (GANs): DeepLearning.AI
    • Meta Data Analyst: Meta
    • Introduction to Data Analysis using Microsoft Excel: Coursera Project Network
    • Quantitative Methods: University of Amsterdam
    • Health Informatics: Johns Hopkins University
    • Bioinformatics: University of California San Diego
    • Embedding Sensors and Motors: University of Colorado Boulder
    • Electrodynamics: Electric and Magnetic Fields: Korea Advanced Institute of Science and Technology(KAIST)

    Frequently Asked Questions about Material Science

    Material science refers to the properties of solid materials and how the structure and composition of a material determine its properties. It helps engineers improve and design products by testing and researching materials to determine how to manipulate them for best results. Material science affects every field that involves engineering, including electronics, telecommunications, ground transportation, medicine, energy, and aerospace, for example.‎

    It's important to learn material science in order to come up with new and innovative products. It is necessary for lowering costs of production and creating long-lasting products. Material science is also important to learn because it is part of engineering design and how different materials will perform in your project, helping you determine which to use.‎

    Any career in engineering will use material science. This is used in many areas of engineering but you can also become a material engineer. In these careers you will test and research different types of material in order to determine the best way to create a product. You will use your knowledge in the area to create new materials and find any possible product failure which helps to create better and innovative product designs.‎

    Online courses can help you learn about material science by giving you the knowledge you need to progress in the field. The courses offer a variety of levels to get you ready for the next step. Online courses offer you the flexibility to work around your schedule, and the experts that teach them are available to answer questions and guide you in each course. You will have lectures and readings as well as assignments that will help you gain an understanding of material science. These courses can supplement your existing knowledge or be at a higher level to deepen your understanding of the topic.‎

    Online Material Science courses offer a convenient and flexible way to enhance your knowledge or learn new Material Science skills. Choose from a wide range of Material Science courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Material Science, 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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