A Crash Course in Causality: Inferring Causal Effects from Observational Data
We have all heard the phrase “correlation does not equal causation.” What, then, does equal causatio...
University/Institute: University of Pennsylvania
AI for Medical Prognosis
AI is transforming the practice of medicine. It’s helping doctors diagnose patients more accurately,...
University/Institute: DeepLearning.AI
ANOVA and Experimental Design
This second course in statistical modeling will introduce students to the study of the analysis of v...
University/Institute: University of Colorado Boulder
Advanced Computer Vision with TensorFlow
In this course, you will: a) Explore image classification, image segmentation, object localization,...
University/Institute: DeepLearning.AI
Advanced Linear Models for Data Science 1: Least Squares
Welcome to the Advanced Linear Models for Data Science Class 1: Least Squares. This class is an intr...
University/Institute: Johns Hopkins University
Algebra and Differential Calculus for Data Science
Are you interested in Data Science but lack the math background for it? Has math always been a tough...
University/Institute: University of Colorado Boulder
An Intuitive Introduction to Probability
This course will provide you with a basic, intuitive and practical introduction into Probability The...
University/Institute: University of Zurich
Applied Data Science Capstone
This capstone project course will give you a taste of what data scientists go through in real life w...
University/Institute: IBM
Basic Statistics
Understanding statistics is essential to understand research in the social and behavioral sciences....
University/Institute: University of Amsterdam
Bayesian Statistics
This course describes Bayesian statistics, in which one's inferences about parameters or hypotheses...
University/Institute: Duke University
Bayesian Statistics: From Concept to Data Analysis
This course introduces the Bayesian approach to statistics, starting with the concept of probability...
University/Institute: University of California, Santa Cruz
Bayesian Statistics: Mixture Models
Bayesian Statistics: Mixture Models introduces you to an important class of statistical models. The...
University/Institute: University of California, Santa Cruz
Bayesian Statistics: Techniques and Models
This is the second of a two-course sequence introducing the fundamentals of Bayesian statistics. It...
University/Institute: University of California, Santa Cruz
Bayesian Statistics: Time Series Analysis
This course for practicing and aspiring data scientists and statisticians. It is the fourth of a fou...
University/Institute: University of California, Santa Cruz
BigQuery Machine Learning using Soccer Data
This is a self-paced lab that takes place in the Google Cloud console. Learn how to use BigQuery ML...
University/Institute: Google Cloud
Causal Inference
This course offers a rigorous mathematical survey of causal inference at the Master’s level. Inferen...
University/Institute: Columbia University
Creating Features for Time Series Data
This course focuses on data exploration, feature creation, and feature selection for time sequences....
University/Institute: SAS
Custom Models, Layers, and Loss Functions with TensorFlow
In this course, you will: • Compare Functional and Sequential APIs, discover new models you can buil...
University/Institute: DeepLearning.AI
Data Science Ethics
What are the ethical considerations regarding the privacy and control of consumer information and bi...
University/Institute: University of Michigan
Data Science Fundamentals for Data Analysts
In this course we're going to guide you through the fundamental building blocks of data science, one...
University/Institute: Databricks