E.g., Friday, October 24, 2014
E.g., Friday, October 24, 2014
E.g., Friday, October 24, 2014
Self Paced

Learn what it takes to become a data scientist.

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Meteorology is fundamental for sailing safety and is the very essence of strategy for winning any regatta. It is also the science most directly linked to ocean sailing.

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Based on Next Generation Science Standards, this course provides an introduction to the role of science in society, feedback and regulation mechanisms, and using a systems approach to solve scientific problems. Participants will explore the nature of scientific inquiry and learn how to analyze scientific data.

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Investigate, Visualize, and Summarize Data Using R.

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Can we program machines to learn like humans? This Reinforcement Learning course will teach you the algorithms for designing self-learning agents like us!

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Ever wonder how Netflix can predict what movies you'll like? Or how Amazon knows what you want to buy before you do? The answer can be found in Unsupervised Learning!

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En este curso de Probabilidad y Estadística estudiamos dos áreas fundamentales del conocimiento: La Probabilidad como una rama de las matemáticas que mide cuantitativamente la posibilidad de que un experimento produzca un determinado resultado, y la Estadística como ciencia formal que estudia la recolección, análisis e interpretación de datos de una muestra.

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The course aims to present an overview of the main management methods and techniques used in the field of industrial contexts to achieve the objectives of Quality.

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This course covers Supervised Learning, a machine learning task that makes it possible for your phone to recognize your voice, your email to filter spam, and for computers to learn a bunch of other cool stuff.

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Data Manipulation and Retrieval. In this course, we will explore how to wrangle data from diverse sources and shape it to enable data-driven applications. Some data scientists spend the bulk of their time doing this!

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This FREE MOOC (Massive Open Online Course) investigates the use of clouds running data analytics collaboratively for processing Big Data to solve problems in Big Data Applications and Analytics. Case studies such as Netflix recommender systems, Genomic data, and more will be discussed.

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Statistics is about extracting meaning from data. In this class, we will introduce techniques for visualizing relationships in data and systematic techniques for understanding the relationships using mathematics.

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In this course, you will look at the properties behind the basic concepts of probability and statistics and focus on applications of statistical knowledge.

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This course will introduce you to the fundamentals of probability theory and random processes. The theory of probability was originally developed in the 17th century by two great French mathematicians, Blaise Pascal and Pierre de Fermat, to understand gambling.

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A real Caltech course, not a watered-down version. This is an introductory course in machine learning (ML) that covers the basic theory, algorithms, and applications.

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This course will introduce you to business statistics, or the application of statistics in the workplace.Statistics is a course in the methods for gathering, analyzing, and interpreting data.

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Introduction to freight transportation risk management framework, risk assessment concepts and methodologies.

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Jan 5th 2015

An introduction to network analysis and statistical methods used in contemporary Systems Biology and Systems Pharmacology research.

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Dec 9th 2014

Exploratory and objective data analysis methods applied to the physical, engineering, and biological sciences.

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Nov 4th 2014

This is a hands on course with a data lab to teach fundamental statistical topics such as descriptive statistics, inferential testing, and modeling.

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