All current Datawetenschap courses in 2024
1127 Cursussen
AI Meets Simplicity: A Success Story on Energy Efficiency in Real Estate
Discover how AI and simple analysis tools optimized energy systems in Swedish apartment buildings, reducing energy consumption by 10-15%, saving 180+ tons of CO2, improving temperature stability, and decreasing workload for technicians.
Block Demos Goose - An AI Agent Built Using Databricks
Discover Goose, an open-source AI agent that democratizes data access at Block, allowing non-technical employees to write SQL and automate workflows using Claude on the Databricks platform.
How to Use Tableau BI in 2025 - Step-by-Step Dashboard and Data Analysis Tutorial
Discover how to build dashboards, analyze data, and visualize insights with Tableau BI in this step-by-step tutorial for beginners.
Advanced Power BI: Expert Data Analysis and Visualization
From Data to Decisions with Advanced Modeling Techniques
Professional Certificate: Finance Data Analysis & Analytics
Financial Data Analysis, Statistical Analysis in Finance, Analysis of Finance Markets data, Data Analytics in Finance
Controllable Sequence Editing for Counterfactual Generation
Discover controllable sequence editing techniques for counterfactual generation in biomedical AI, presented by Michelle Li from Harvard Medical School's Zitnik Lab.
Powerful and Accurate Case-Control Analysis of Spatially Resolved Molecular Data
Discover powerful techniques for case-control analysis of spatially resolved molecular data, focusing on accurate methods developed at the Raychaudhuri Lab.
Painless Simulation of Multiple Pre-trained Protein Generative Models Through the Superposition Principle
Discover how to simulate multiple pre-trained protein generative models efficiently through the superposition principle in this insightful presentation from Joey Bose of Oxford's Michael Bronstein Lab.
TissueMosaic Enables Cross-Sample Differential Analysis of Spatial Transcriptomics Datasets Through Self-Supervised Representation Learning
Discover how TissueMosaic enables cross-sample differential analysis of spatial transcriptomics datasets through self-supervised representation learning in this research presentation.
Partially Shared Multi-Modal Embedding Learns Holistic Representation of Cell State - Day 1
Discover insights into partially shared multi-modal embedding techniques for holistic cell state representation in this talk by Xinyi Zhang from MIT's Uhler Lab.
Segmentation-free Analysis of Submicron-resolution Spatial Transcriptomics
Discover a segmentation-free approach to analyzing submicron-resolution spatial transcriptomics in this short talk by Yichen Si from the Eric and Wendy Schmidt Center.
What Makes a Model a Digital Twin? An Atmospheric Science-based Perspective
Explore the distinction between traditional models and digital twins in atmospheric science, examining defining characteristics and applications that transcend specific domains into generalizable principles.