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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

    • Status: AI skills
      AI skills
      I

      IBM

      IBM Data Science

      Skills you'll gain: Dashboard, Data Visualization Software, Data Wrangling, Data Visualization, SQL, Supervised Learning, Feature Engineering, Plotly, Interactive Data Visualization, Jupyter, Data Literacy, Exploratory Data Analysis, Data Mining, Data Cleansing, Matplotlib, Data Analysis, Unsupervised Learning, Generative AI, Pandas (Python Package), Professional Networking

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      143K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • I

      IBM

      Data Science Fundamentals with Python and SQL

      Skills you'll gain: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Data Visualization Software, Statistics, Data Visualization, Statistical Hypothesis Testing, Web Scraping, Relational Databases, Stored Procedure, Databases, Computer Programming Tools, Automation, Data Analysis Software, Python Programming

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      71K reviews

      Beginner · Specialization · 3 - 6 Months

    • I
      U
      I

      Multiple educators

      Data Science Foundations

      Skills you'll gain: Dashboard, Pseudocode, Jupyter, Algorithms, Data Literacy, Data Mining, Pandas (Python Package), Data Visualization Software, Correlation Analysis, Web Scraping, NumPy, Probability & Statistics, Predictive Modeling, Big Data, Computer Programming Tools, Automation, Data Analysis Software, Data Collection, Machine Learning Algorithms, Unsupervised Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      112K reviews

      Beginner · Specialization · 3 - 6 Months

    • I

      IBM

      AI Foundations for Everyone

      Skills you'll gain: Prompt Engineering, ChatGPT, Large Language Modeling, Generative AI, Artificial Intelligence, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), OpenAI, IBM Cloud, Private Cloud, Data Loss Prevention, Applied Machine Learning, Deep Learning, WordPress, Artificial Neural Networks, Governance, Machine Learning, Generative AI Agents, Automation, Digital Transformation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      27K reviews

      Beginner · Specialization · 3 - 6 Months

    • I

      IBM

      IBM AI Developer

      Skills you'll gain: Generative AI, Prompt Engineering, Large Language Modeling, Software Development Life Cycle, Software Architecture, Unit Testing, ChatGPT, Software Design, HTML and CSS, Web Design and Development, Jupyter, Scrum (Software Development), Hypertext Markup Language (HTML), Software Engineering, Artificial Intelligence, Cascading Style Sheets (CSS), Application Deployment, Automation, Interviewing Skills, Professional Networking

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      69K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • U

      University of Colorado System

      Clinical Data Science

      Skills you'll gain: Tidyverse (R Package), Clinical Data Management, Extract, Transform, Load, Data Modeling, Clinical Research, R Programming, Data Manipulation, Predictive Modeling, Database Design, Google Cloud Platform, Intensive Care Unit, Data Ethics, Data Quality, Risk Modeling, Natural Language Processing, Health Informatics, Statistical Modeling, Bioinformatics, Text Mining, Data Processing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      468 reviews

      Intermediate · Specialization · 3 - 6 Months

    • O

      Olay

      Cosmetic Formulation Science

      Skills you'll gain: Laboratory Experience, Laboratory Equipment, Chemistry, Safety Training, Product Testing, Record Keeping, Product Development, Personal Care, Systems Of Measurement, Innovation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      94 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of London

      Introduction to Computer Science and Programming

      Skills you'll gain: Computer Science, Debugging, Development Environment, Computer Systems, Web Applications, Graphing, Javascript, Computer Networking, Computational Thinking, Theoretical Computer Science, Human Computer Interaction, Hardware Architecture, Program Development, Arithmetic, Computer Graphics, Operating Systems, Applied Mathematics, Mathematical Modeling, Computer Programming, General Mathematics

      4.2
      Rating, 4.2 out of 5 stars
      ·
      1.5K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      Y

      Yale University

      Moral Foundations of Politics

      Skills you'll gain: Political Sciences, Policy Analysis, Social Justice, Social Sciences, European History, Law, Regulation, and Compliance, Governance, Ethical Standards And Conduct, Socioeconomics, Economics

      4.9
      Rating, 4.9 out of 5 stars
      ·
      6K reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of Michigan

      Introduction to Data Science in Python

      Skills you'll gain: Pandas (Python Package), Jupyter, NumPy, Data Manipulation, Data Science, Data Structures, Data Analysis, Statistical Analysis, Pivot Tables And Charts, Data Cleansing, Data Import/Export, Probability & Statistics, Python Programming, Programming Principles

      4.5
      Rating, 4.5 out of 5 stars
      ·
      27K reviews

      Intermediate · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      Supervised Machine Learning: Regression and Classification

      Skills you'll gain: Supervised Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, NumPy, Predictive Modeling, Feature Engineering, Artificial Intelligence, Classification And Regression Tree (CART), Python Programming, Regression Analysis, Unsupervised Learning, Statistical Modeling

      4.9
      Rating, 4.9 out of 5 stars
      ·
      28K reviews

      Beginner · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      R Programming

      Skills you'll gain: Statistical Analysis, R Programming, Statistical Programming, Data Analysis, Debugging, Simulations, Computer Programming Tools, Program Development, Data Structures, Performance Tuning, Data Import/Export

      4.5
      Rating, 4.5 out of 5 stars
      ·
      22K reviews

      Intermediate · Course · 1 - 4 Weeks

    Material Science learners also search

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    1…789…624

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

    • IBM Data Science: IBM
    • Data Science Fundamentals with Python and SQL: IBM
    • Data Science Foundations: IBM
    • AI Foundations for Everyone: IBM
    • IBM AI Developer: IBM
    • Clinical Data Science: University of Colorado System
    • Cosmetic Formulation Science: Olay
    • Introduction to Computer Science and Programming: University of London
    • Moral Foundations of Politics : Yale University
    • Introduction to Data Science in Python: University of Michigan

    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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