Courses from 1000+ universities
Discover an easier way to explore affordable, credit-worthy online courses with our expanded community college catalog.
600 Free Google Certifications
Web Development
Software Development
Digital Marketing
Advanced Precalculus: Geometry, Trigonometry and Exponentials
Introduction to Animal Behaviour
Astronomy: Exploring Time and Space
Organize and share your learning with Class Central Lists.
View our Lists Showcase
Learn Classification, earn certificates with paid and free online courses from Harvard, Stanford, MIT, University of Pennsylvania and other top universities around the world. Read reviews to decide if a class is right for you.
Expertly crafted lesson plans on animal taxonomy, covering classification, adaptations, and various animal groups. Includes resources for quizzes, assignments, and curriculum development.
In this course, you’ll learn how Quality of Service (QoS) tools can help you avoid network congestion and appropriately deal with it when it occurs.
Explore machine learning techniques for creating interactive art, music, and installations. Learn to analyze gestures, audio, and sensor data using classification, regression, and segmentation algorithms.
Learn to use machine learning in Python in this introductory course on artificial intelligence.
Learn some of the main tools used in statistical modeling and data science. We cover both traditional as well as exciting new methods, and how to use them in R. Course material updated in 2021 for second edition of the course textbook.
Comprehensive exploration of data mining techniques, covering preprocessing, association rules, classification methods, and clustering algorithms for extracting valuable insights from datasets.
Explore AI foundations through hands-on Python projects. Cover graph search, classification, optimization, reinforcement learning, and more. Gain practical skills in implementing AI algorithms and understanding their applications.
En este curso conocerás los fundamentos del aprendizaje automático y como crear modelos de predicción, regresión y clasificación con ayuda de Python. Explorarás problemas de clasificación, regresión, series de tiempo, agrupamiento y sistemas expertos.
Explore, analyze, and leverage big data using machine learning techniques. Learn to design approaches, prepare data, construct models, and scale solutions using open-source tools and Spark.
Comprehensive introduction to computer science and AI, covering programming fundamentals, algorithms, and machine learning. Hands-on projects develop skills for designing intelligent systems and solving real-world problems.
Exploring algorithmic fairness and privacy in computer science, addressing concerns about incorporating societal values into technology as it increasingly impacts our lives.
Learn some of the main tools used in statistical modeling and data science. We cover both traditional as well as exciting new methods, and how to use them in Python.
Master machine learning fundamentals through hands-on Python programming, covering regression analysis, classification algorithms, and essential data science techniques for real-world problem-solving.
Explore statistical learning techniques for machine learning, including linear regression and classification. Apply concepts through Python coding assignments and practical problem-solving.
Gain essential skills in AI, machine learning, and Python programming. Learn statistics, solve real-world problems, and prepare for advanced study in these cutting-edge fields.
Get personalized course recommendations, track subjects and courses with reminders, and more.