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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
      Free

      The University of North Carolina at Chapel Hill

      Epidemiology: The Basic Science of Public Health

      Skills you'll gain: Epidemiology, Infectious Diseases, Research Design, Research Methodologies, Science and Research, Health Care, Medical Science and Research, Probability & Statistics, Statistical Analysis, Risk Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.9K reviews

      Mixed · Course · 1 - 3 Months

    • McMaster University

      DNA Decoded

      Skills you'll gain: Bioinformatics, Life Sciences, Medical Science and Research, Pharmaceuticals, Clinical Research, Scientific Methods, Clinical Laboratory Science, General Science and Research

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

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free

      University of Copenhagen

      Transformation of the Global Food System

      Skills you'll gain: Waste Minimization, Corporate Sustainability, Food and Beverage, Supply Chain, Systems Thinking, Supply Chain Planning, Environment, Natural Resource Management, Environmental Policy, Community Development, Innovation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      985 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free

      Utrecht University

      Inequality and Democracy

      Skills you'll gain: Lobbying, Social Justice, Political Sciences, Socioeconomics, Tax Laws, Economics, Policy Analysis, Governance, Law, Regulation, and Compliance, Business Economics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      35 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free

      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 Wrangling, Data Cleansing, Data-Driven Decision-Making, Business Analytics, Exploratory Data Analysis, Machine Learning, Machine Learning Algorithms

      4.5
      Rating, 4.5 out of 5 stars
      ·
      13 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free

      University of Washington

      Computational Neuroscience

      Skills you'll gain: Machine Learning Methods, Supervised Learning, Network Model, Matlab, Machine Learning Algorithms, Artificial Neural Networks, Computer Vision, Reinforcement Learning, Computational Thinking, Mathematical Modeling, Linear Algebra, Data Analysis, Information Architecture, Probability & Statistics

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

      Beginner · Course · 1 - 3 Months

    • IBM

      Applied Data Science

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

      Build toward a degree

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

      Beginner · Specialization · 3 - 6 Months

    • IBM

      Python for Data Science, AI & Development

      Skills you'll gain: Jupyter, Automation, Web Scraping, Python Programming, Data Manipulation, Data Import/Export, Scripting, Data Structures, Data Processing, Data Collection, Application Programming Interface (API), Pandas (Python Package), Programming Principles, NumPy, Object Oriented Programming (OOP), Computer Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      41K reviews

      Beginner · Course · 1 - 3 Months

    • Multiple educators

      Data Science Foundations

      Skills you'll gain: Dashboard, Pseudocode, Jupyter, Algorithms, Data Mining, Pandas (Python Package), Correlation Analysis, Web Scraping, NumPy, Probability & Statistics, Predictive Modeling, Big Data, Automation, Data Visualization Software, Data Collection, Data Science, GitHub, Python Programming, Machine Learning Algorithms, Unsupervised Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      112K reviews

      Beginner · Specialization · 3 - 6 Months

    • University of Michigan

      Applied Data Science with Python

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

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

      Intermediate · Specialization · 3 - 6 Months

    • 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

    • Johns Hopkins University

      Data Science: Foundations using R

      Skills you'll gain: Rmarkdown, Exploratory Data Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Data Visualization, Statistical Programming, Ggplot2, Big Data, Dimensionality Reduction, Data Visualization Software, Data Integration, Knitr, Data Analysis, Data Import/Export, Data Sharing, Statistical Reporting

      4.6
      Rating, 4.6 out of 5 stars
      ·
      48K reviews

      Beginner · Specialization · 3 - 6 Months

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    1…456…599

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

    • Epidemiology: The Basic Science of Public Health: The University of North Carolina at Chapel Hill
    • DNA Decoded: McMaster University
    • Transformation of the Global Food System: University of Copenhagen
    • Inequality and Democracy: Utrecht University
    • Data Science for Professionals: Coursera Instructor Network
    • Computational Neuroscience: University of Washington
    • Applied Data Science: IBM
    • Python for Data Science, AI & Development: IBM
    • Data Science Foundations: University of London
    • Applied Data Science with Python: University of Michigan

    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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