Data Science

Sub Categories

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

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AI for Medical Prognosis

AI is transforming the practice of medicine. It’s helping doctors diagnose patients more accurately,...

University/Institute: DeepLearning.AI

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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

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Advanced Computer Vision with TensorFlow

In this course, you will: a) Explore image classification, image segmentation, object localization,...

University/Institute: DeepLearning.AI

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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

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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

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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

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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

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Basic Statistics

Understanding statistics is essential to understand research in the social and behavioral sciences....

University/Institute: University of Amsterdam

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Bayesian Statistics

This course describes Bayesian statistics, in which one's inferences about parameters or hypotheses...

University/Institute: Duke University

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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

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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

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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

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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

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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

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Causal Inference

This course offers a rigorous mathematical survey of causal inference at the Master’s level. Inferen...

University/Institute: Columbia University

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Creating Features for Time Series Data

This course focuses on data exploration, feature creation, and feature selection for time sequences....

University/Institute: SAS

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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

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Data Science Ethics

What are the ethical considerations regarding the privacy and control of consumer information and bi...

University/Institute: University of Michigan

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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

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