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  • Material Science

Material Science Courses

Material science courses can help you learn about the properties of materials, material selection, nanotechnology, and the principles of thermodynamics. You can build skills in analyzing material behavior, conducting experiments, and applying statistical methods to interpret data. Many courses introduce tools such as scanning electron microscopes, X-ray diffraction, and software for modeling material properties, that support practical applications in industries like aerospace, electronics, and biomedical engineering.


Popular Material Science Courses and Certifications


  • C

    Coursera

    Storing, Retrieving, and Processing JSON data with Python

    Skills you'll gain: JSON, Application Programming Interface (API), Application Development, Data Access, Restful API, Python Programming, User Interface (UI)

    4.2
    Rating, 4.2 out of 5 stars
    ·
    13 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    SQL Mathematical Functions

    Skills you'll gain: SQL, PostgreSQL, Database Management, Data Manipulation, Database Systems

    4.2
    Rating, 4.2 out of 5 stars
    ·
    13 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Análisis exploratorio de datos con Python y Pandas

    Skills you'll gain: Exploratory Data Analysis, Pandas (Python Package), Seaborn, Jupyter, Matplotlib, Data Analysis, Statistical Analysis, NumPy, Data Cleansing, Descriptive Statistics, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    14 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • U

    University of Colorado Boulder

    Parallel Computing with MPI

    Skills you'll gain: File I/O, C and C++, Load Balancing, Communication Systems

    4.5
    Rating, 4.5 out of 5 stars
    ·
    13 reviews

    Advanced · Course · 1 - 3 Months

  • P

    Packt

    NumPy, Matplotlib & Pandas – Data Science Prerequisites

    Skills you'll gain: NumPy, Plot (Graphics), Pandas (Python Package), Scientific Visualization, Data Manipulation, Scatter Plots, Machine Learning, Data Science, Data Analysis Software, Histogram, Numerical Analysis, Probability Distribution, Linear Algebra, Classification Algorithms, Regression Analysis

    4.4
    Rating, 4.4 out of 5 stars
    ·
    8 reviews

    Beginner · Course · 1 - 3 Months

  • D

    Duke University

    Data Science Ethics with R

    Skills you'll gain: Data Ethics, Responsible AI, Data Visualization, Data Presentation, Data Storytelling, Ethical Standards And Conduct, Data Science, Data Collection, Data Visualization Software, Personally Identifiable Information, Information Privacy, Machine Learning, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    8 reviews

    Beginner · Course · 1 - 4 Weeks

  • P

    Peking University

    生物学概念与途径

    Skills you'll gain: Biochemistry, Molecular Biology, Biology, Chemistry, Life Sciences, Biotechnology, Cell Biology, Scientific Methods, Research, Research Methodologies

    5
    Rating, 5 out of 5 stars
    ·
    14 reviews

    Intermediate · Course · 3 - 6 Months

  • U

    University of Michigan

    NumPy and Pandas Basics for Future Data Scientists

    Skills you'll gain: Debugging, Data Analysis, Data Preprocessing, Numerical Analysis, Critical Thinking

    4.1
    Rating, 4.1 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • M

    Microsoft

    Microsoft Copilot for Security

    Skills you'll gain: Prompt Engineering, Microsoft Copilot, AI Security, Endpoint Detection and Response, Security Information and Event Management (SIEM), Cyber Threat Hunting, Microsoft Azure, Cyber Security Assessment, Incident Response, Generative AI, Query Languages

    4.8
    Rating, 4.8 out of 5 stars
    ·
    13 reviews

    Intermediate · Course · 1 - 3 Months

  • S

    Simplilearn

    LLM Application Engineering and Development Certification

    Skills you'll gain: LangChain, LLM Application, Large Language Modeling, AI Workflows, Retrieval-Augmented Generation, Embeddings, Generative AI, Model Evaluation, Hugging Face, Prompt Engineering, PyTorch (Machine Learning Library), Tensorflow, Semantic Web, Natural Language Processing, Artificial Intelligence, Application Development, Analytical Skills, Application Programming Interface (API), Supervised Learning, Computer Programming Tools

    3.2
    Rating, 3.2 out of 5 stars
    ·
    13 reviews

    Beginner · Specialization · 1 - 3 Months

  • P

    Packt

    Intermediate Data Analysis Techniques with Pandas

    Skills you'll gain: Pandas (Python Package), Text Mining, Data Manipulation, Data Cleansing, Data Analysis Software, Data Wrangling, Data Preprocessing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    13 reviews

    Intermediate · Course · 1 - 3 Months

  • G

    Google

    Data Structures in Python

    Skills you'll gain: Data Wrangling, Data Import/Export

    4.9
    Rating, 4.9 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Storing, Retrieving, and Processing JSON data with Python: Coursera
  • SQL Mathematical Functions: Coursera
  • Análisis exploratorio de datos con Python y Pandas: Coursera
  • Parallel Computing with MPI: University of Colorado Boulder
  • NumPy, Matplotlib & Pandas – Data Science Prerequisites: Packt
  • Data Science Ethics with R: Duke University
  • 生物学概念与途径: Peking University
  • NumPy and Pandas Basics for Future Data Scientists: University of Michigan
  • Microsoft Copilot for Security: Microsoft
  • LLM Application Engineering and Development Certification: Simplilearn

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