Overview Statistics is an important field of math that is used to analyze, interpret, and predict outcomes from data. Descriptive statistics will teach you the basic concepts used to describe data. This is a great beginner course for those interested in Data Science, Economics, Psychology, Machine Learning, Sports analytics and just about any other field. …
Overview What does a JPEG have to do with economics and quantum gravity? All of them are about what happens when you simplify world-descriptions. A JPEG compresses an image by throwing out fine structure in ways a casual glance won’t detect. Economists produce theories of human behavior that gloss over the details of individual psychology. Meanwhile, even …
Overview Sometimes the best description of a system is one that acknowledges our ignorance. Maximum entropy methods provide a coherent framework for doing this in a rigorous fashion, and their success has been felt in everything from physics to ecology to machine learning. In this tutorial, Simon DeDeo introduces MaxEnt through a series of examples, …
Overview This course aims to help you to draw better statistical inferences from empirical research. First, we will discuss how to correctly interpret p-values, effect sizes, confidence intervals, Bayes Factors, and likelihood ratios, and how these statistics answer different questions you might be interested in. Then, you will learn how to design experiments where the …
Overview Welcome to the second course in the Data Analytics for Business specialization! This course will introduce you to some of the most widely used predictive modeling techniques and their core principles. By taking this course, you will form a solid foundation of predictive analytics, which refers to tools and techniques for building statistical or …
Overview Statistical Inference is the process by which data is used to draw a conclusionoruncover ascientific truthabout a population from asample. This course aims to familiarize the student with several ideas and instruments for statistical inference. It covers fundamental concepts and properties of probability. Specifically, youwill learn to work with sequences of successes and failures …
Introductory Statistics : Basic Ideas and Instruments for Statistical Inference Read More »
Overview Power and Sample Size for Longitudinal and Multilevel Study Designs, a five-week, fully online course covers innovative, research-based power and sample size methods, and software for multilevel and longitudinal studies. The power and sample size methods and software taught in this course can be used for any health-related, or more generally, social science-related (e.g., …
Power and Sample Size for Multilevel and Longitudinal Study Designs Read More »
Overview This tutorial contains excerpts from David Feldman’s Dynamical Systems course. Note that Complexity Explorer tutorials are meant to introduce students to various important techniques and to provide illustrations of their application in complex systems. A given tutorial is not meant to offer complete coverage of its topic or substitute for an entire course on that topic. …
Overview This course is the first of a series that is designed for beginners who want to learn how to apply basic data science concepts to real-world problems. You might be a student who is considering pursuing a career in data science and wanting to learn more, or you might be a business professional who …
Overview This course provides a very brief introduction to basic mathematical concepts like propositional and predicate logic, set theory, the number system, and proof techniques. At the end of the course, students will be able to(1) detect the logical structure behind simple puzzles(2) be able to manipulate logical expressions(3) explain the connection between logic and …
