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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

    • 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

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Generative AI Engineering

      Skills you'll gain: Prompt Engineering, Data Wrangling, Large Language Modeling, Unit Testing, Supervised Learning, Feature Engineering, Generative AI, Keras (Neural Network Library), Deep Learning, Artificial Intelligence, ChatGPT, Natural Language Processing, Data Cleansing, Jupyter, Data Analysis, Unsupervised Learning, Data Manipulation, PyTorch (Machine Learning Library), Data Import/Export, Exploratory Data Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      87K reviews

      Beginner · Professional Certificate · 3 - 6 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
      Status: AI skills
      AI skills
      I

      IBM

      IBM Data Engineering

      Skills you'll gain: NoSQL, Data Warehousing, SQL, Apache Hadoop, Extract, Transform, Load, Apache Airflow, Web Scraping, Linux Commands, Database Design, IBM Cognos Analytics, MySQL, Apache Spark, Data Pipelines, Apache Kafka, Database Management, Bash (Scripting Language), Data Store, Jupyter, Generative AI, Professional Networking

      Build toward a degree

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

      Beginner · Professional Certificate · 3 - 6 Months

    • S

      Stanford University

      Stanford Introduction to Food and Health

      Skills you'll gain: Cooking, Nutrition and Diet, Preventative Care, Food and Beverage, Public Health and Disease Prevention, Behavioral Health, Clinical Nutrition, Chronic Diseases

      4.7
      Rating, 4.7 out of 5 stars
      ·
      34K reviews

      Beginner · Course · 1 - 3 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

    • U

      University of Pennsylvania

      Philosophy of Science

      Skills you'll gain: Scientific Methods, Science and Research, Research, Experimentation, Research Methodologies, Policy Analysis, Peer Review, Social Sciences, Simulations, Ethical Standards And Conduct

      4.7
      Rating, 4.7 out of 5 stars
      ·
      240 reviews

      Intermediate · Course · 1 - 4 Weeks

    • 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

      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

      Genomic Data Science

      Skills you'll gain: Bioinformatics, Unix Commands, Biostatistics, Exploratory Data Analysis, Statistical Analysis, Unix, Data Science, Data Management, Statistical Methods, Molecular Biology, Command-Line Interface, Statistical Hypothesis Testing, Linux Commands, Data Analysis Software, Statistical Modeling, Data Structures, Data Analysis, R Programming, Computational Thinking, Jupyter

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6.6K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      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

    • S

      Stanford University

      Introduction to Statistics

      Skills you'll gain: Descriptive Statistics, Statistics, Statistical Methods, Sampling (Statistics), Statistical Analysis, Data Analysis, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, Statistical Inference, Probability, Exploratory Data Analysis, Quantitative Research, Data Collection, Probability Distribution

      4.6
      Rating, 4.6 out of 5 stars
      ·
      4.1K reviews

      Beginner · Course · 1 - 3 Months

    Cognitive Science learners also search

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

    • Statistics with Python: University of Michigan
    • IBM Generative AI Engineering: IBM
    • Data Science Foundations: University of London
    • IBM Data Engineering: IBM
    • Stanford Introduction to Food and Health: Stanford University
    • Mathematics for Machine Learning and Data Science: DeepLearning.AI
    • Philosophy of Science: University of Pennsylvania
    • R Programming: Johns Hopkins University
    • Applied Data Science with Python: University of Michigan
    • Genomic Data Science: Johns Hopkins University

    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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