Courses from 1000+ universities
17 years ago, Krishna Kumar started offering free PMP prep online. Today, it’s a leading digital upskilling platform that helps millions upskill in AI, cybersecurity, data science, and more.
600 Free Google Certifications
Fundamentals of Neuroscience, Part 1: The Electrical Properties of the Neuron
Organic Chemistry 1
Mountains 101
Organize and share your learning with Class Central Lists.
View our Lists Showcase
Master fundamental mathematical concepts from complex numbers to differential equations with practical applications in engineering and real-world problem solving.
Comprehensive introduction to fundamental mathematical concepts, covering complex numbers, trigonometry, matrices, calculus, and differential equations with real-world applications.
Learn C programming fundamentals, problem-solving techniques, and key concepts like variables, loops, functions, and arrays. Develop skills to write programs for scientific problem-solving and understand computer basics.
Discover fundamental electronic circuits, semiconductor devices, and analysis techniques for designing amplifiers, power systems, and digital switching circuits.
Master core principles and advanced mechanisms of operating systems through hands-on process management, memory allocation, synchronization, and file system operations.
Gain insights into computer fundamentals, from binary operations and logic gates to processor design and assembly programming, building a strong foundation in computing systems.
Discover bioinformatics fundamentals through hands-on analysis of RNA-seq, single-cell genomics, gene associations, and medical text mining using real datasets from NCBI, TCGA, and PubMed.
Dive into statistical concepts, probability theory, and data analysis techniques to enhance decision-making skills and master real-world applications in various fields.
Explore data analytics fundamentals using Python, covering EDA, machine learning algorithms, data cleaning, feature engineering, and ethical implications to build a robust data-driven skill set.
Explore core economics principles, from microeconomics to macroeconomics, covering consumer behavior, market structures, monetary policy, and international trade to build a strong analytical foundation.
Discover principles of intuitive interface design, user research methods, prototyping techniques, and emerging interaction paradigms to create accessible, human-centered digital experiences.
Explore mathematical foundations of graph theory and network analysis, covering connectivity, planarity, algorithms, and real-world applications in AI and data science.
Explore social media analytics through graph theory, network analysis, and machine learning. Master centrality measures, community detection, and diffusion models using NetworkX for real-world applications.
Master algorithmic design paradigms including divide-and-conquer, dynamic programming, graph algorithms, and complexity theory to solve computational challenges efficiently.
Master cellular mechanisms, genetics, and human physiology while exploring biotechnology applications and scientific inquiry methods in biological sciences.
Get personalized course recommendations, track subjects and courses with reminders, and more.