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    Science Courses Online

    Study science for a comprehensive understanding of natural phenomena. Learn about physics, chemistry, biology, and scientific methods.

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    Explore the Science Course Catalog

    • U

      University of Washington

      Computational Neuroscience

      Skills you'll gain: Supervised Learning, Network Model, Matlab, Machine Learning Algorithms, Artificial Neural Networks, Neurology, Computer Science, Reinforcement Learning, Computational Thinking, Mathematical Modeling, Biology, Linear Algebra, Probability & Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.1K reviews

      Beginner · Course · 1 - 3 Months

    • U

      Università di Napoli Federico II

      Understanding Political Concepts

      Skills you'll gain: Political Sciences, Policy Analysis, Research, Social Sciences, Systems Thinking, Governance, Interactive Learning, Research Methodologies

      4.9
      Rating, 4.9 out of 5 stars
      ·
      27 reviews

      Beginner · Course · 1 - 4 Weeks

    • G

      Georgia Institute of Technology

      Material Behavior

      Skills you'll gain: Chemistry, Manufacturing Processes, Structural Analysis, Mechanical Engineering, Physical Science, Engineering, Semiconductors, Physics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.3K reviews

      Mixed · Course · 1 - 3 Months

    • C

      Coursera Instructor Network

      Data Science for Professionals

      Skills you'll gain: Predictive Modeling, Statistical Analysis, Data Manipulation, Data Analysis, Data Science, Pandas (Python Package), Data Visualization Software, Statistics, Data Cleansing, Data Processing, Data-Driven Decision-Making, Business Analytics, Exploratory Data Analysis, Machine Learning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      15 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Calculus for Machine Learning and Data Science

      Skills you'll gain: Applied Mathematics, Calculus, Numerical Analysis, Mathematical Modeling, Machine Learning, Python Programming, Regression Analysis, Artificial Neural Networks, Deep Learning, Derivatives

      4.8
      Rating, 4.8 out of 5 stars
      ·
      848 reviews

      Intermediate · Course · 1 - 4 Weeks

    • G

      Georgia Institute of Technology

      Material Processing

      Skills you'll gain: Chemistry, Chemical Engineering, Manufacturing Processes, Mechanical Engineering, Engineering, Process Engineering, Physical Science, Semiconductors

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.1K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Programming Fundamentals

      Skills you'll gain: Programming Principles, Algorithms, Pseudocode, Computational Thinking, Computer Programming, Data Structures, Software Testing, Debugging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.9K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      Università di Napoli Federico II

      Comparative Political Systems

      Skills you'll gain: Political Sciences, Policy Analysis, Social Sciences, International Relations, Public Policies, Systems Thinking, Governance, Research Methodologies, Qualitative Research

      4.4
      Rating, 4.4 out of 5 stars
      ·
      30 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      Universiteit Leiden

      Political Economy of Institutions and Development

      Skills you'll gain: Political Sciences, International Relations, Socioeconomics, Social Sciences, Economic Development, Governance, Policty Analysis, Research, and Development, Economics, Global Marketing, Cultural Diversity, Data Collection

      4.7
      Rating, 4.7 out of 5 stars
      ·
      374 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of London

      Mathematics for Computer Science

      Skills you'll gain: Graphing, Computational Thinking, Arithmetic, Applied Mathematics, Mathematical Modeling, General Mathematics, Computer Science, Computer Graphics, Systems Of Measurement, Cryptography

      4.1
      Rating, 4.1 out of 5 stars
      ·
      238 reviews

      Beginner · Course · 1 - 3 Months

    • D

      Duke University

      Copyright for Educators & Librarians

      Skills you'll gain: Intellectual Property, Educational Materials, Law, Regulation, and Compliance, Education and Training, Legal Research

      4.8
      Rating, 4.8 out of 5 stars
      ·
      596 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Foundations of Computer Science

      Skills you'll gain: Visual Basic (Programming Language), Database Management, System Software, Databases, Relational Databases, Algorithms, Computer Architecture, Network Security, Computer Hardware, SQL, Computer Science, Computer Networking, Computer Programming, Network Protocols, Programming Principles, Software Development, Automation, Analysis, Cloud Computing, Artificial Intelligence

      4.6
      Rating, 4.6 out of 5 stars
      ·
      111 reviews

      Beginner · Course · 1 - 3 Months

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

    • Computational Neuroscience: University of Washington
    • Understanding Political Concepts: Università di Napoli Federico II
    • Material Behavior: Georgia Institute of Technology
    • Data Science for Professionals: Coursera Instructor Network
    • Calculus for Machine Learning and Data Science: DeepLearning.AI
    • Material Processing: Georgia Institute of Technology
    • Programming Fundamentals: Duke University
    • Comparative Political Systems: Università di Napoli Federico II
    • Political Economy of Institutions and Development: Universiteit Leiden
    • Mathematics for Computer Science: University of London

    Frequently Asked Questions about Science

    Science courses on Coursera cover a broad range of disciplines, offering insights and practical skills across various fields:

    • Fundamental concepts and advanced topics in physical sciences, life sciences, and earth sciences.
    • Techniques for scientific research, including experimental design, data collection, and data analysis.
    • Application of mathematical and computational methods to solve scientific problems.
    • Understanding of scientific principles and their applications in real-world scenarios.
    • Skills in using laboratory equipment and conducting scientific experiments safely.
    • Knowledge of the latest technological advancements and their impact on scientific research.
    • Critical thinking and problem-solving skills developed through rigorous scientific inquiry.‎

    Science courses on Coursera are designed to meet learners at various levels of expertise:

    • Introductory courses provide a comprehensive overview for those new to the field, covering basic concepts and general knowledge.
    • Intermediate courses offer more detailed explorations of specific areas within a scientific discipline, suitable for those with some foundational knowledge.
    • Advanced courses are intended for learners with a strong background in science, focusing on complex theories and specialized research techniques.‎

    Coursera offers several pathways for skill recognition in science:

    • Professional certificates that can help you demonstrate your knowledge and skills in a specific scientific field.
    • Specialized course certificates that document your engagement with focused topics within a broader scientific discipline.
    • Degree programs and professional qualifications that prepare you for advanced roles in research, academia, or industry.

    These educational offerings are designed to enhance your professional profile and support your career development in the sciences.‎

    Studying science on Coursera can open up diverse career paths in research, industry, and education:

    • Research Scientist: Conduct studies to advance knowledge in a specific scientific area.
    • Clinical Researcher: Develop and test medical treatments and technologies.
    • Environmental Scientist: Assess and address environmental issues to inform policy and conservation efforts.
    • Science Educator: Teach scientific concepts in schools or public outreach programs.
    • Technical Consultant: Provide expertise to businesses and government agencies on scientific matters.‎
    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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