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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

    • M

      McMaster University

      DNA Decoded

      Skills you'll gain: Molecular Biology, Medical Science and Research, Biochemistry, Laboratory Testing, Biology, Microbiology, Science and Research

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

      Intermediate · Course · 1 - 4 Weeks

    • T

      The University of Edinburgh

      Data Science in Stratified Healthcare and Precision Medicine

      Skills you'll gain: Precision Medicine, Bioinformatics, Image Analysis, Medical Imaging, Big Data, Health Informatics, Statistical Methods, Data Science, Machine Learning, Natural Language Processing, Probability & Statistics, Data Analysis, Molecular Biology, Network Analysis, Graph Theory, Healthcare Ethics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      334 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Copenhagen

      Transformation of the Global Food System

      Skills you'll gain: Waste Minimization, Corporate Sustainability, Supply Chain, Systems Thinking, Environmental Resource Management, Environment, Environmental Science, Innovation, Nutrition and Diet, Public Policies, Small Business Accounting

      4.8
      Rating, 4.8 out of 5 stars
      ·
      987 reviews

      Beginner · Course · 1 - 3 Months

    • U

      Utrecht University

      Inequality and Democracy

      Skills you'll gain: Lobbying, Social Justice, Political Sciences, Socioeconomics, Tax Laws, Social Sciences, Economics, Commercial Laws, Policy Analysis, Governance, International Finance

      4.8
      Rating, 4.8 out of 5 stars
      ·
      35 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U
      I
      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
      ·
      113K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Applied Data Science with Python

      Skills you'll gain: Matplotlib, Network Analysis, Feature Engineering, Data Visualization Software, Interactive Data Visualization, Scientific Visualization, Pandas (Python Package), Applied Machine Learning, Supervised Learning, Text Mining, Visualization (Computer Graphics), Statistical Visualization, Scikit Learn (Machine Learning Library), Network Model, Jupyter, NumPy, Graph Theory, Data Manipulation, Natural Language Processing, Data Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      34K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Data Science

      Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Regression Analysis, Leaflet (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Wrangling, Data Visualization, Machine Learning Algorithms, Plotly, Plot (Graphics), Knitr

      4.5
      Rating, 4.5 out of 5 stars
      ·
      51K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Mathematics for Machine Learning and Data Science

      Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Linear Algebra, Statistical Inference, Applied Mathematics, NumPy, Calculus, Dimensionality Reduction, Numerical Analysis, Mathematical Modeling, Machine Learning, Machine Learning Methods, Python Programming, Jupyter, Data Manipulation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.7K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      A

      Arizona State University

      Materials Science for Technological Application

      Skills you'll gain: Failure Analysis, Semiconductors, Manufacturing Processes, Mechanical Engineering, Chemical Engineering, Chemistry, Thermal Management, Engineering, Production Process, Laboratory Testing, Physical Science, Physics, Process Engineering, Mechanics, Engineering Analysis, Engineering Calculations, Applied Mathematics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      178 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Applied Data Science

      Skills you'll gain: Dashboard, Data Visualization Software, Plotly, Data Wrangling, Data Visualization, Interactive Data Visualization, Exploratory Data Analysis, Data Cleansing, Jupyter, Matplotlib, Data Analysis, Pandas (Python Package), Data Manipulation, Seaborn, Data Import/Export, Predictive Modeling, Web Scraping, Automation, Data Science, Python Programming

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      58K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Data Science

      Skills you'll gain: SQL, Jupyter, Data Literacy, Data Mining, Peer Review, Data Modeling, Databases, Stored Procedure, Relational Databases, Database Design, Query Languages, Data Science, Database Management, Big Data, Computer Programming Tools, Data Analysis Software, Data Cleansing, Data Visualization Software, Cloud Computing, Data Analysis

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      99K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Databases and SQL for Data Science with Python

      Skills you'll gain: SQL, Databases, Stored Procedure, Relational Databases, Database Design, Query Languages, Database Management, Data Analysis, Jupyter, Data Manipulation, Pandas (Python Package), Transaction Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      22K reviews

      Beginner · Course · 1 - 3 Months

    Science learners also search

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    1…456…609

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

    • DNA Decoded: McMaster University
    • Data Science in Stratified Healthcare and Precision Medicine: The University of Edinburgh
    • Transformation of the Global Food System: University of Copenhagen
    • Inequality and Democracy: Utrecht University
    • Data Science Foundations: University of London
    • Applied Data Science with Python: University of Michigan
    • Data Science: Johns Hopkins University
    • Mathematics for Machine Learning and Data Science: DeepLearning.AI
    • Materials Science for Technological Application: Arizona State University
    • Applied Data Science: IBM

    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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