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Mechanics of Materials I: Fundamentals of Stress & Strain and Axial Loading
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Explore groundbreaking gene editing technologies: base editing and prime editing. Discover their therapeutic applications and advancements in precision DNA modification without double-strand breaks.
Explore proteostasis adaptation for aging-related diseases. Discover kinetic stabilizers, lysosomal flux enhancers, and autophagy activators as potential treatments for amyloidosis and neurodegenerative disorders.
Delve into post-transcriptional RNA modifications, focusing on m6A methylation and demethylation. Explore their impact on biological regulation, mammalian development, and plant growth, with insights into new chemical sequencing methods.
Dive into cross-cohort analysis using cloud genomics, exploring trusted research environments, methodologies, and tools for efficient genetic data processing and interpretation.
Explore computational approaches for designing functional proteins, including surface pattern analysis and de novo topology exploration, with applications in vaccine design, T-cell therapies, and biosensors.
Explore cutting-edge approaches in 3D genome organization research, including in silico genetic screening and graph representation learning for analyzing multiscale chromatin structure.
Explore single-cell spatiotemporal modeling with dynamo framework and Stereo-seq technology. Uncover insights into cellular states, transitions, and spatial dynamics in developmental biology and neuroscience.
Explore the convergence of biomedical science and machine learning, discovering how these fields synergize to address modern biological questions and drive innovations in data analysis.
Explore protein language models and their role in understanding evolutionary rules, predicting mutation effects, and guiding artificial evolution for antibody development and novel protein structures.
Dive into hands-on Jupyter Notebooks in Terra with experts from the Broad Institute. Gain practical skills in medical and population genetics data analysis through interactive demonstrations and discussions.
Explore genetic foundations of inherited retinal degenerations, including diagnosis, therapies, and research advancements. Gain insights into clinical applications and emerging treatments for eye disorders.
Dive into image-based profiling of perturbations, exploring cell painting assays, morphology profiling, and machine learning techniques for predicting compound interactions and cell phenotypes.
Dive into clinical interpretation of genes and variants for disease causality with expert Heidi Rehm. Explore standardized approaches, open science, and data sharing in genomic medicine and rare disease gene discovery.
Uncover robust computational approaches for inferring cell dynamics from single-cell transcriptomics integrated with lineage tracing, focusing on the CoSpar method and its applications in hematopoiesis and reprogramming.
Explore deep learning-based morphological profiling for rare disease genomics. Uncover innovative approaches to overcome batch effects and improve out-of-distribution generalization in fluorescent microscopy data analysis.
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