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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

    • D

      DeepLearning.AI

      Neural Networks and Deep Learning

      Skills you'll gain: Deep Learning, Artificial Neural Networks, Supervised Learning, Artificial Intelligence, Computer Vision, Machine Learning, Python Programming, Performance Tuning

      4.9
      Rating, 4.9 out of 5 stars
      ·
      123K reviews

      Intermediate · Course · 1 - 4 Weeks

    • 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

    • G

      Google

      Foundations of Data Science

      Skills you'll gain: Data Storytelling, Data Ethics, Data Presentation, Data Analysis, Data-Driven Decision-Making, Analytical Skills, Data Science, Project Design, Communication, Business, Business Ethics, Business Workflow Analysis, Stakeholder Communications, Professional Networking, Data Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.1K reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free
      Free
      D

      Duke University

      Data Science Math Skills

      Skills you'll gain: Probability, Bayesian Statistics, General Mathematics, Calculus, Graphing, Statistics, Data Science, Data Analysis, Plot (Graphics), Algebra, Geometry, Arithmetic, Derivatives

      4.5
      Rating, 4.5 out of 5 stars
      ·
      13K reviews

      Beginner · Course · 1 - 3 Months

    • J

      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 Wrangling, Data Visualization, Plot (Graphics), Statistical Programming, Ggplot2, Big Data, Git (Version Control System), Data Integration, Knitr, Data Analysis, Data Sharing, Statistical Reporting

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

      Beginner · Specialization · 3 - 6 Months

    • D

      Duke University

      Programming Fundamentals

      Skills you'll gain: Programming Principles, Algorithms, Pseudocode, Computational Thinking, Computer Programming, Data Structures, Software Testing, Debugging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.9K reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      Applied Software Engineering Fundamentals

      Skills you'll gain: Software Development Life Cycle, Linux Commands, Unit Testing, Bash (Scripting Language), Shell Script, Git (Version Control System), GitHub, Development Environment, Version Control, File Management, Jupyter, Software Engineering, Software Development Tools, Application Deployment, Collaborative Software, Automation, Flask (Web Framework), Web Scraping, Python Programming, Software Testing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      47K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of London

      Introduction to Computer Science and Programming

      Skills you'll gain: Computer Science, Debugging, Development Environment, Computer Systems, Web Applications, Graphing, Javascript, Computer Networking, Computational Thinking, Program Development, Arithmetic, Computer Graphics, Operating Systems, Computer Hardware, Applied Mathematics, Mathematical Modeling, Cybersecurity, Computer Programming, Problem Management, General Mathematics

      4.2
      Rating, 4.2 out of 5 stars
      ·
      1.5K reviews

      Beginner · Specialization · 3 - 6 Months

    • 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, Plotly, Machine Learning Algorithms, Plot (Graphics), Knitr

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

      Beginner · Specialization · 3 - 6 Months

    • I

      IBM

      Data Science Fundamentals with Python and SQL

      Skills you'll gain: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Data Visualization Software, Statistics, Data Visualization, Web Scraping, Relational Databases, Stored Procedure, Databases, Computer Programming Tools, Automation, Data Analysis Software, Data Science, Python Programming

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      71K reviews

      Beginner · Specialization · 3 - 6 Months

    • W

      Wesleyan University

      Creating Behavioral Change

      Skills you'll gain: Motivational Interviewing, Mental Health Therapies, Behavioral Health, Mental and Behavioral Health, Psychotherapy, Behavior Management, Psychology, Experimentation, Learning Theory, Goal Setting

      4.8
      Rating, 4.8 out of 5 stars
      ·
      166 reviews

      Beginner · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      AI For Everyone

      Skills you'll gain: Data Ethics, Market Opportunities, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Team Building, Machine Learning, Strategic Thinking, Data Science, Needs Assessment, Deep Learning, Business Ethics, Artificial Neural Networks, Engineering Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      47K reviews

      Beginner · Course · 1 - 4 Weeks

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

    • Neural Networks and Deep Learning: DeepLearning.AI
    • Statistics with Python: University of Michigan
    • Foundations of Data Science: Google
    • Data Science Math Skills: Duke University
    • Data Science: Foundations using R: Johns Hopkins University
    • Programming Fundamentals: Duke University
    • Applied Software Engineering Fundamentals: IBM
    • Introduction to Computer Science and Programming: University of London
    • Data Science: Johns Hopkins University
    • Data Science Fundamentals with Python and SQL: IBM

    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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