University of Colorado Boulder

This course introduces marketing data analytics, focusing on the crucial concepts of correlation and causality. Learners will explore statistical concepts and tools to analyze and interpret marketing data, leading to more informed and impactful marketing strategies.

"Regression Modeling for Marketers" is a specialized course designed to elevate marketing professionals' analytical skills. Focusing on regression analysis, the course enables learners to quantify, explain, and predict marketing outcomes using both simple and multiple linear regression models. This course stands out by not only teaching the creation and [...]

"Machine Learning for Marketers" is an advanced course tailored for professionals looking to integrate machine learning into their marketing strategies. This course uniquely focuses on both predictive analytics and decision-making, using supervised learning methods to analyze and forecast customer behavior. Participants will learn to implement advanced machine learning techniques, [...]

Fundamental Neural Pathways For Movement is the second course of the specialization "Science of Movement". This course will provide you with a deeper understanding of the intricate processes that govern our ability to move and perform complex motor tasks.

Movements Are Controlled By Muscle Forces is the first course of the specialization "Science of Movement". In this course, we will delve into the mechanisms by which our nervous system communicates with our muscles, allowing us to perform a wide range of coordinated movements with precision. Whether you are [...]

This third course in the product development specialization discusses the business side of product development. The course begins with an overview of marketing and pricing strategies, and how company’s price their products today.

This course will begin by discussing superconductivity - a central example of a macroscopic phenomenon. It will then proceed to discuss various modern topics in quantum condensed matter physics, including fractionalization, anyon statistics, topology, and non-equilibrium phases. The course aims to provide learners with an appreciation for some modern [...]

This course introduces the notion of universality, whereby a large zoo of seemingly disparate systems can be described by the same theory. It introduces a powerful and widely applicable concept known as renormalization group which explains where this universality comes from. It introduces some paradigmatic frameworks underpinning condensed matter [...]

This course continues our data structures and algorithms specialization by focussing on the use of linear and integer programming formulations for solving algorithmic problems that seek optimal solutions to problems arising from domains such as resource allocation, scheduling, task assignment, and variants of the traveling salesperson problem. [...]

This introductory course offers a comprehensive exploration of Generative AI, including Transformers, ChatGPT for generating text, and Generative Adversarial Networks (GANs), the Diffusion Model for generating images. By the end of this course, you will gain a basic understanding of these Generative AI models, their underlying theories, and practical [...]