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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

      Universidad Nacional Autónoma de México

      Introducción a Data Science: Programación Estadística con R

      Skills you'll gain: R Programming, Statistical Programming, Ggplot2, Data Manipulation, Simulations, Statistical Software, Data Science, Data Visualization, Graphing, Programming Principles, Data Import/Export, Scripting, Data Structures, Software Installation, Package and Software Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      8.5K reviews

      Beginner · Course · 1 - 3 Months

    • 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 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
      ·
      717 reviews

      Beginner · Course · 1 - 3 Months

    • 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

    • Status: Free Trial
      Free Trial
      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

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Statistics with Python

      Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Statistical Modeling, Statistical Methods, Statistical Inference, Statistics, Bayesian Statistics, Data Visualization, Matplotlib, Statistical Visualization, Probability & Statistics, Statistical Analysis, Jupyter, Statistical Programming, Regression Analysis, Data Visualization Software, Predictive Modeling, Data Analysis, Exploratory Data Analysis, Descriptive Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.3K reviews

      Beginner · Specialization · 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

    • U

      University of Pennsylvania

      Computational Thinking for Problem Solving

      Skills you'll gain: Computational Thinking, Algorithms, Pseudocode, Python Programming, Data Structures, Computer Hardware, Computer Programming, Analysis, Debugging

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

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Statistics for Data Science with Python

      Skills you'll gain: Descriptive Statistics, Statistical Analysis, Data Analysis, Probability Distribution, Statistics, Data Visualization, Statistical Hypothesis Testing, Regression Analysis, Probability & Statistics, Data Science, Matplotlib, Exploratory Data Analysis, Probability, Correlation Analysis, Pandas (Python Package), Jupyter

      4.5
      Rating, 4.5 out of 5 stars
      ·
      436 reviews

      Mixed · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      The Mathematics of Democracy, Politics and Manipulation

      Skills you'll gain: Political Sciences, Policy Analysis, Social Justice, Social Sciences, Public Policies, Game Theory, Demography, Logical Reasoning, Applied Mathematics

      4.9
      Rating, 4.9 out of 5 stars
      ·
      16 reviews

      Mixed · Course · 1 - 3 Months

    • E

      Eindhoven University of Technology

      Process Mining: Data science in Action

      Skills you'll gain: Process Analysis, Process Improvement, Business Process Management, Data Mining, Business Process Modeling, Process Optimization, Data Processing, Performance Analysis, Big Data, Real Time Data, Data Science, Verification And Validation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Pandas for Data Science

      Skills you'll gain: Pandas (Python Package), Data Cleansing, Data Manipulation, NumPy, Query Languages, Data Integration, Python Programming, Data Import/Export, Data Analysis, Debugging

      4.3
      Rating, 4.3 out of 5 stars
      ·
      9 reviews

      Beginner · Course · 1 - 4 Weeks

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

    • Introducción a Data Science: Programación Estadística con R: Universidad Nacional Autónoma de México
    • Moral Foundations of Politics : Yale University
    • Foundations of Data Science: K-Means Clustering in Python: University of London
    • Classical Sociological Theory : University of Amsterdam
    • R Programming: Johns Hopkins University
    • Statistics with Python: University of Michigan
    • Understanding Political Concepts: Università di Napoli Federico II
    • Computational Thinking for Problem Solving: University of Pennsylvania
    • Statistics for Data Science with Python: IBM
    • The Mathematics of Democracy, Politics and Manipulation: Johns Hopkins University

    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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