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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

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Accelerated Computer Science Fundamentals

      Skills you'll gain: C++ (Programming Language), Data Structures, Object Oriented Programming (OOP), Object Oriented Design, Graph Theory, Development Environment, Engineering Software, Computer Programming, Software Engineering, Algorithms, Debugging, Program Development, Database Systems, Database Theory, Network Routing, Theoretical Computer Science, Data Storage

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.5K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Fundamentals of Computing

      Skills you'll gain: Computational Thinking, Event-Driven Programming, Algorithms, Combinatorics, Graph Theory, Programming Principles, Application Development, Object Oriented Programming (OOP), Data Structures, Probability, Computer Programming, Bioinformatics, Interactive Design, Program Development, Big Data, Python Programming, Mathematical Software, Data Analysis, Theoretical Computer Science, Computer Science

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.1K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Science Methodology

      Skills you'll gain: Jupyter, Peer Review, Data Modeling, Data Science, Data Cleansing, Business Analysis, Data Mining, Predictive Modeling, Data Quality, Data Storytelling, Analytical Skills, User Feedback, Decision Tree Learning, Stakeholder Engagement

      4.6
      Rating, 4.6 out of 5 stars
      ·
      21K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Amsterdam

      Classical Sociological Theory

      Skills you'll gain: Sociology, Social Studies, Social Sciences, Socioeconomics, Culture, Political Sciences, Economics, Qualitative Research, Research Methodologies

      4.9
      Rating, 4.9 out of 5 stars
      ·
      3K reviews

      Mixed · Course · 1 - 3 Months

    • D

      Duke University

      Drones for Environmental Science

      Skills you'll gain: Environmental Monitoring, Environmental Regulations, Environmental Laws, Data Ethics, Environmental Science, Geospatial Information and Technology, Ethical Standards And Conduct, Global Positioning Systems, Research, Image Analysis, Data Collection

      4.9
      Rating, 4.9 out of 5 stars
      ·
      57 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google

      Data Analysis with R Programming

      Skills you'll gain: Rmarkdown, Ggplot2, R Programming, Data Visualization, Data Analysis, Tidyverse (R Package), Data Visualization Software, Statistical Programming, Data Cleansing, Data Manipulation, Programming Principles, Data Transformation, Integrated Development Environments, Data Structures

      4.8
      Rating, 4.8 out of 5 stars
      ·
      11K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Lausanne

      Challenging Forensic Science: How Science Should Speak to Court

      Skills you'll gain: Criminal Investigation and Forensics, Legal Proceedings, Scientific Methods, Statistical Analysis, Report Writing, Probability & Statistics, Research, Technical Communication, Verification And Validation, Ethical Standards And Conduct

      4.9
      Rating, 4.9 out of 5 stars
      ·
      511 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      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

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      SQL for Data Science

      Skills you'll gain: Data Governance, SQL, Data Quality, Database Design, Query Languages, Data Manipulation, Data Modeling, Relational Databases, Data Analysis, Data Cleansing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      17K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of London

      Foundations of Data Science: K-Means Clustering in Python

      Skills you'll gain: Data Visualization, Matplotlib, Probability & Statistics, Data Science, Unsupervised Learning, Statistics, NumPy, Python Programming, Pandas (Python Package), Data Analysis, Machine Learning Algorithms, Descriptive Statistics, Data Manipulation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      720 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Data Science Fundamentals

      Skills you'll gain: Data Ethics, Predictive Modeling, Unsupervised Learning, Natural Language Processing, Predictive Analytics, Data Analysis, Classification And Regression Tree (CART), Regression Analysis, Data Mining, Statistical Analysis, Data Science, Social Media, Text Mining, Anomaly Detection, Business Analytics, Decision Tree Learning, Statistical Modeling, Big Data, Analytics, Cloud Computing

      4.3
      Rating, 4.3 out of 5 stars
      ·
      240 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Computational Social Science

      Skills you'll gain: Network Analysis, Data Wrangling, Natural Language Processing, Web Scraping, Social Sciences, Data Ethics, Databases, Artificial Intelligence, Research, Simulations, Big Data, Systems Thinking, Data Science, Research Methodologies, Machine Learning, Data Collection, Computational Thinking, Economics, Policy, and Social Studies, Graph Theory, Agentic systems

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

      Beginner · Specialization · 3 - 6 Months

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

    • Accelerated Computer Science Fundamentals: University of Illinois Urbana-Champaign
    • Fundamentals of Computing: Rice University
    • Data Science Methodology: IBM
    • Classical Sociological Theory : University of Amsterdam
    • Drones for Environmental Science: Duke University
    • Data Analysis with R Programming: Google
    • Challenging Forensic Science: How Science Should Speak to Court: University of Lausanne
    • Introduction to Data Science in Python: University of Michigan
    • SQL for Data Science: University of California, Davis
    • Foundations of Data Science: K-Means Clustering in Python: 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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