Courses from 1000+ universities
Buried in Coursera’s 300-page prospectus: two failed merger attempts, competing bidders, a rogue shareholder, and a combined market cap that shrank from $3.8 billion to $1.7 billion.
600 Free Google Certifications
Computer Science
Psychology
Algorithms and Data Structures
Stanford Introduction to Food and Health
Gamification
Learn to Program: The Fundamentals
Organize and share your learning with Class Central Lists.
View our Lists Showcase
Explore a wide range of free and certified Research methods online courses. Find the best Research methods training programs and enhance your skills today!
Explore ethical principles for biomedical research in global settings, focusing on low- and middle-income countries. Learn to adapt standards, consent processes, and address post-trial obligations.
Explore advanced numerical methods for engineers, covering differential equations, network flows, and optimization. Gain practical skills in solving complex mathematical problems.
Explore advanced numerical methods for solving complex chemical engineering problems, including heat transfer, fluid mechanics, and molecular simulation. Gain practical skills in computational techniques.
Explore diverse historical approaches, analyzing how historians structure narratives, use sources, and contribute to their fields. Gain insights into methodologies' strengths and limitations.
Dive into protein structures, enzyme kinetics, and cellular signaling mechanisms while developing essential scientific thinking and data analysis skills for biochemistry research.
Master probabilistic methods in combinatorics and theoretical computer science, exploring random constructions, extremal set theory, and advanced mathematical concepts for proving existence of combinatorial objects.
Learn user experience design through research, ideation, synthesis, and prototyping techniques. Gain practical skills to understand user needs, generate ideas, analyze data, and create effective prototypes for meaningful design solutions.
Explore abstraction, methods, lists, and recursion in programming. Develop teaching strategies for K-12 CS education, including culturally relevant pedagogy and low-frustration learning experiences.
Learn critical concepts and practical methods for planning, collecting, storing, and disseminating data in clinical research. Covers electronic data capture, regulatory compliance, and best practices for effective data management.
Explore quantitative research methods in social sciences, focusing on scientific principles, research designs, measurement, sampling, and ethics. Gain skills to distinguish between solid research and flawed studies.
Gain essential analytics skills using R, Python, and SQL. Learn statistical methods, machine learning, data visualization, and apply them to real-world business projects.
Learn to analyze economic data using regression models, handle endogeneity, binary choice, and time series data. Gain practical skills in forecasting and decision-making across various business fields.
In this tutorial, Simon DeDeo introduces MaxEnt through a series of examples, taking students from the basics of the subject up to its applications in science and engineering
Explore advanced deep learning techniques for healthcare, including attention models, graph neural networks, memory networks, and generative models. Apply these methods to real-world medical challenges through hands-on projects.
Explore deep learning methods for healthcare applications, covering embedding, CNNs, RNNs, and autoencoders. Gain practical experience through labs, assignments, and a large project with potential for publication.
Get personalized course recommendations, track subjects and courses with reminders, and more.