Cognitive Science courses can help you learn about human perception, language processing, decision-making, and neural networks. You can build skills in critical thinking, data analysis, and experimental design, which are vital for understanding how the mind works. Many courses introduce tools like Python for data analysis, statistical software for research, and simulation programs to model cognitive processes, allowing you to apply your knowledge in practical settings.
University of California, Santa Cruz
Skills you'll gain: Programming Principles, Pseudocode
Beginner · Course · 1 - 3 Months

Coursera
Skills you'll gain: Data Science, Web Applications, Python Programming, Programming Principles, Artificial Intelligence, Computer Programming, Scientific Visualization, Game Design
Beginner · Guided Project · Less Than 2 Hours

Duke University
Skills you'll gain: Deep Learning, Model Evaluation, Unsupervised Learning, Classification And Regression Tree (CART), Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Convolutional Neural Networks, Decision Tree Learning, Computer Vision, Logistic Regression, Supervised Learning, Natural Language Processing, Random Forest Algorithm, Data Science, Predictive Analytics, Algorithms
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Large Language Modeling, Responsible AI, AI Personalization, Mobile Development, AI Security, Prompt Engineering Tools, Anthropic Claude, Artificial Intelligence, LLM Application, Software Development Tools, Software Testing, Apple iOS, Test Automation, Software Development, Prototyping, Artificial Intelligence and Machine Learning (AI/ML)
Advanced · Specialization · 1 - 3 Months
Rice University
Skills you'll gain: Statistical Hypothesis Testing, Microsoft Excel, Statistical Methods, Pivot Tables And Charts, Regression Analysis, Statistics, Descriptive Statistics, Probability & Statistics, Graphing, Spreadsheet Software, Probability Distribution, Business Analytics, Statistical Modeling, Statistical Analysis, Statistical Inference, Excel Formulas, Data Analysis, Data Presentation, Model Evaluation, Sample Size Determination
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Data Validation, Spreadsheet Software, Data Analysis, Analytics, Data Manipulation, Excel Formulas, Data Compilation, Pivot Tables And Charts, SQL, Data Integration, Data Transformation, User Feedback
Beginner · Course · 1 - 4 Weeks
University of Pennsylvania
Skills you'll gain: Game Design, Project Design, Social Impact, Drive Engagement, Design Thinking, Employee Engagement, Motivational Skills, Training and Development, Behavior Management, Customer Engagement, Psychology, Behavioral Economics, Marketing
Mixed · Course · 1 - 3 Months

Skills you'll gain: Analytics, Integrated Development Environments
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: SAS (Software), Data Import/Export, Data Access, Data Manipulation, Statistical Programming, Data Cleansing, Exploratory Data Analysis, Data Preprocessing, Data Analysis, Data Transformation, SQL, Microsoft Excel, Descriptive Statistics
Beginner · Course · 1 - 3 Months

University of Pennsylvania
Skills you'll gain: File I/O, Data Structures, Programming Principles, Python Programming, Computer Programming, Computational Thinking, Scripting, Software Development Tools, Scripting Languages, Integrated Development Environments, Jupyter
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Real Time Data, Dataflow, Model Deployment, Google Cloud Platform, Feature Engineering, PySpark, Data Pipelines, Cloud Storage, Data Import/Export, Big Data, Apache Spark, Data Maintenance, Data Lakes, Apache Hadoop, Dashboard, Apache Airflow, Tensorflow, Cloud Services, Data Infrastructure, Data Warehousing
Intermediate · Professional Certificate · 3 - 6 Months

Skills you'll gain: Transfer Learning, PyTorch (Machine Learning Library), Model Evaluation, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, Reinforcement Learning, Convolutional Neural Networks, Unsupervised Learning, Autoencoders, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Logistic Regression, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Data Preprocessing, Model Deployment, Computer Vision
Intermediate · Professional Certificate · 3 - 6 Months