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    • Cognitive Science

    Cognitive Science Courses Online

    Understand cognitive science principles for studying the mind and behavior. Learn about perception, memory, learning, and decision-making processes.

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    Explore the Cognitive Science Course Catalog

    • U

      University of Illinois Urbana-Champaign

      Data Mining

      Skills you'll gain: Data Visualization Software, Text Mining, Data Presentation, Data Mining, Interactive Data Visualization, Data Storytelling, Dashboard, Tableau Software, Plot (Graphics), Natural Language Processing, Scatter Plots, Unsupervised Learning, Data Mapping, Unstructured Data, Statistical Analysis, Graphing, Big Data, Anomaly Detection, Analytics, Data Validation

      4.5
      Rating, 4.5 out of 5 stars
      ·
      2.9K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      D

      Duke University

      Oil & Gas Industry Operations and Markets

      Skills you'll gain: Market Dynamics, Energy and Utilities, Operating Cost, Transportation Operations, Production Process, Supply Chain, Market Data, Market Trend, Cost Estimation, Global Marketing, Market Analysis, International Finance, Natural Resource Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.2K reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      University of Alberta

      Reinforcement Learning

      Skills you'll gain: Reinforcement Learning, Machine Learning, Sampling (Statistics), Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Simulations, Solution Architecture, Feature Engineering, Artificial Intelligence and Machine Learning (AI/ML), Markov Model, Supervised Learning, Algorithms, Performance Testing, Artificial Neural Networks, Pseudocode, Linear Algebra, Probability Distribution, Debugging

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

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      U

      University of Arizona

      Astronomy: Exploring Time and Space

      Skills you'll gain: Physical Science, Physics, Engineering, Scientific, and Technical Instruments, Ancient History, Chemistry, General Science and Research, Scientific Methods, Scientific Visualization, Research, Simulations

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.9K reviews

      Beginner · Course · 1 - 3 Months

    • D

      Duke University

      Java Programming: Solving Problems with Software

      Skills you'll gain: Debugging, Java, Algorithms, Statistical Analysis, Software Design, Computer Programming, Integrated Development Environments, Data Processing, Object Oriented Programming (OOP), Data Analysis, Software Testing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      8K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      S

      Stanford University

      Cryptography I

      Skills you'll gain: Cryptography, Data Encryption Standard, Encryption, Key Management, Advanced Encryption Standard (AES), Public Key Cryptography Standards (PKCS), Cybersecurity, Authentications, Data Integrity, Secure Coding, Algorithms

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.4K reviews

      Mixed · Course · 1 - 3 Months

    • D

      Duke University

      Data Analysis with R

      Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Exploratory Data Analysis, Regression Analysis, Statistical Reporting, Probability Distribution, Statistical Methods, Data Analysis Software, R Programming, Bayesian Statistics, Statistical Analysis, Data Analysis, Statistical Software, Statistical Modeling, Probability & Statistics, Probability, Statistics, Correlation Analysis, Data Literacy

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7.5K reviews

      Beginner · Specialization · 3 - 6 Months

    • G

      Google

      Assets, Threats, and Vulnerabilities

      Skills you'll gain: Threat Modeling, Threat Management, Vulnerability Management, Cyber Threat Intelligence, Cybersecurity, Cyber Attacks, Vulnerability Assessments, Threat Detection, MITRE ATT&CK Framework, Data Security, Cyber Risk, NIST 800-53, Authorization (Computing), Malware Protection, Authentications, Security Strategy, Security Controls, Risk Management Framework, Identity and Access Management, Encryption

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.6K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of California, Davis

      Geographic Information Systems (GIS)

      Skills you'll gain: ArcGIS, GIS Software, Spatial Data Analysis, Spatial Analysis, Data Storytelling, Geographic Information Systems, Data Presentation, Data Sharing, Geospatial Mapping, Public Health, Land Management, Heat Maps, Metadata Management, Data Quality, Community Health, Data Mapping, Data Visualization Software, File Management, Network Analysis, Data Modeling

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.3K reviews

      Beginner · Specialization · 3 - 6 Months

    • I

      Imperial College London

      Mathematics for Machine Learning: Linear Algebra

      Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Jupyter, Machine Learning Methods, Algorithms, Data Manipulation, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      12K reviews

      Beginner · Course · 1 - 3 Months

    • I

      IBM

      IBM Introduction to Machine Learning

      Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Unsupervised Learning, Supervised Learning, Dimensionality Reduction, Regression Analysis, Statistical Inference, Machine Learning Algorithms, Data Processing, Machine Learning, Data Access, Anomaly Detection, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Statistical Analysis, Data Analysis, Applied Machine Learning, Data Cleansing, Data Manipulation, Predictive Modeling

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.9K reviews

      Intermediate · Specialization · 3 - 6 Months

    • D

      Duke University

      AI Product Management

      Skills you'll gain: Deep Learning, MLOps (Machine Learning Operations), Data Ethics, Data Management, Unsupervised Learning, Human Computer Interaction, User Experience Design, Classification And Regression Tree (CART), Data Quality, Human Centered Design, Machine Learning, Human Factors, Regression Analysis, Technical Management, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Artificial Neural Networks, Decision Tree Learning, Data Processing, Personally Identifiable Information

      4.7
      Rating, 4.7 out of 5 stars
      ·
      779 reviews

      Beginner · Specialization · 3 - 6 Months

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

    • Data Mining: University of Illinois Urbana-Champaign
    • Oil & Gas Industry Operations and Markets : Duke University
    • Reinforcement Learning: University of Alberta
    • Astronomy: Exploring Time and Space: University of Arizona
    • Java Programming: Solving Problems with Software: Duke University
    • Cryptography I: Stanford University
    • Data Analysis with R: Duke University
    • Assets, Threats, and Vulnerabilities: Google
    • Geographic Information Systems (GIS): University of California, Davis
    • Mathematics for Machine Learning: Linear Algebra: Imperial College London

    Frequently Asked Questions about Cognitive Science

    To understand Cognitive Science, it’s key to understand cognition: the act or process of knowing and perceiving, including memory, judgment, language, attention, and reasoning. Cognitive Science studies refer to the precise nature of these different mental tasks, and the operations of the brain that enable them to be performed. To carry out such studies, Cognitive Scientists leverage an interdisciplinary approach from Psychology, Computer Science, Philosophy, Linguistics, and related fields.

    One example of Cognitive Science in action is an individual having a stroke in a part of the brain dedicated to language, thus producing an inability to speak sentences. Examples like this are why it’s critical to learn Cognitive Science, so that successful learners may gain the skills to explain and treat mental illnesses.‎

    An education in Cognitive Science is considered highly versatile, with its interdisciplinary characteristics. Learners can find opportunities in various fields, such as Telecommunications, Medical Analysis, Research, Data Representation and Retrieval, Intelligence Analysis, Human Factors Engineering, Computer-Human Interaction, Human Performance Testing, Speech Synthesis, Linguistic Analysis, Education, Marketing, and Science Writing.‎

    Learners interested in Cognitive Science courses offered through Coursera can enjoy a multidisciplinary approach to the subject. Cognitive Science courses are taught in tandem with Philosophy, Psychology, Neurobiology, Computational Neuroscience, and even Consumer Behavior, among others.

    Learners can explore topics at the juncture between Philosophy and the Cognitive Science; how our brains process spatial information; different cognitive abilities such as memory, learning, attention, perception, and consciousness; basic brain mechanisms in consumer choice; and more.‎

    The skills and experiences you may need to already have to learn cognitive science could include the broad ability to think critically and to problem-solve. In addition, it can help you better understand cognitive science if you have some experience studying or working in the fields of biology, psychology, computer science, neuroscience, linguistics, math, anthropology, and philosophy. Knowing about brain-imaging techniques, such as functional MRI or transcranial magnetic stimulation (TMS), may give you some important skills needed for learning cognitive science. You may already have some of the experience necessary to learn cognitive science if you have worked in the fields of health care, business, law, psychology, or education because you likely need to understand how people think and make decisions. In addition, if you have a basic knowledge of computational neuroscience, artificial neural networks, and reinforcement learning, you may have some advanced experience that could be helpful when learning cognitive science.‎

    The kind of people who are best suited for roles in cognitive science want to understand the evolution of the human mind, the nature of consciousness, and how the nervous system works to drive people to think, behave, make decisions, or communicate in specific ways. People well suited to work in roles in the cognitive science field want to understand the deeper intricacies of how the brain processes information. They want to understand how memory, language, reasoning, attention, and motor control affect the ability to communicate and learn from the world.‎

    Learning cognitive science may be right for you if you wonder what motivates others to behave in certain ways or how artificial intelligence (AI) works to predict certain human behaviors. You may benefit from learning cognitive science if you're interested in jobs in education, health care and medical research, marketing, AI, or software development. If you are interested in the growing area of the scientific research of neurobiology, learning cognitive science may be right for you. Also, if you want to understand the growing importance of connections between the human mind and AI, then you may benefit from learning about cognitive science. In addition, someone who is interested in the field of neuroeconomics, or the study of how people make decisions or help others decide, may be the right type of person to learn cognitive science.‎

    Online Cognitive Science courses offer a convenient and flexible way to enhance your knowledge or learn new Cognitive Science skills. Choose from a wide range of Cognitive Science courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Cognitive Science, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    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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