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Learn Statistics & Probability, earn certificates with free online courses from University of Cape Town, HKUST, Galileo University, Stanford and other top universities around the world. Read reviews to decide if a class is right for you.
If you’ve ever skipped over`the results section of a medical paper because terms like “confidence interval” or “p-value” go over your head, then you’re in the right place.
Due to python’s simplicity and high readability, it is gaining its importance in the financial industry. The course combines both python coding and statistical concepts and applies into analyzing financial data, such as stock data.
Usa estadística descriptiva e inferencial en los negocios. Aprende a tomar decisiones con ayuda de estimadores, análisis regresional y más.
Este curso en línea entrega al estudiante los conocimientos fundamentales de estadística para el análisis de datos, tanto a nivel personal como empresarial.
Get ready to analyze, visualize, and interpret data! Thought-provoking examples and chances to combine statistics and programming will keep you engaged and challenged.
Learn some of the main tools used in statistical modeling and data science. We cover both traditional as well as exciting new methods, and how to use them in R. Course material updated in 2021 for second edition of the course textbook.
Build foundational knowledge of data science with this introduction to probabilistic models, including random processes and the basic elements of statistical inference -- Part of the MITx MicroMasters program in Statistics and Data Science.
An introduction to basic statistical concepts and R programming skills necessary for analyzing data in the life sciences.
Syllabus: Lecture 1: Probability and Counting | Statistics 110. Lecture 2: Story Proofs, Axioms of Probability | Statistics 110. Lecture 3: Birthday Problem, Properties of Probability | Statistics 110. Lecture 4: Conditional Probability | Statistics 110.…
Syllabus: Introduction. Three statistics lessons from the news. Statements made. The numbers: relative risk (risk ratio). The numbers: absolute risk difference. Relative vs. Absolute Risk. Communicating relative risks correctly. Relative risks don…
Syllabus: Introduction. Announcements. Review: Bayesian network. Review: probabilistic inference. Where do parameters come from?. Roadmap. Learning task. Example: one variable. Example: v-structure. Example: inverted-v structure. Parameter shar…
Syllabus: Introduction. Review: Bayesian network. Review: probabilistic inference. Hidden Markov model inference. Lattice representation. Summary. Hidden Markov models. Review: beam search. Step 1: propose. weight. Step 3: resample. Applicatio…
Syllabus: Introduction. Announcements. Pac-Man competition. Review: definition. Review: object tracking. Course plan. Review: probability Random variables: sunshine S € (0,1), rain R € {0,1}. Challenges Modeling: How to specify a joint distributio…
Increase your quantitative reasoning skills through a deeper understanding of probability and statistics.
Understanding statistics is essential to understand research in the social and behavioral sciences. In this course you will learn the basics of statistics; not just how to calculate them, but also how to evaluate them. This course will also prepare you f…
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