E.g., Tuesday, September 16, 2014
E.g., Tuesday, September 16, 2014
E.g., Tuesday, September 16, 2014
Oct 6th 2014

This course is a hands-on introduction to statistical data analysis that emphasises fundamental concepts and practical skills.

0
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Oct 6th 2014

This course will cover the basic elements of designing and evaluating questionnaires. We will review the process of responding to questions, challenges and options for asking questions about behavioral frequencies, practical techniques for evaluating questions, mode specific questionnaire characteristics, and review methods of standardized and conversational interviewing.

10
Average: 10 (1 vote)
Oct 2nd 2014

This course teaches the concepts and computational methods in the exciting interdisciplinary field of bioinformatics and their applications in life sciences. The lectures are taught in both Mandarin Chinese and English with slides in English. 生物信息学是一门新兴的生命科学与计算科学的前沿交叉学科。本课程讲授生物信息学主要概念和方法,以及如何应用生物信息学手段解决生命科学问题。本课程同时提供中文普通话授课和英文授课两个版本,以及英文幻灯片。

0
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Oct 1st 2014

JPAL101x will provide a thorough understanding of how randomized evaluations can be used to evaluate social and development programs.

0
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Oct 1st 2014

Si alguna vez has tenido problemas con la estadística, este curso está hecho para ti. Es ideal para investigadores y alumnos que se encuentran cursando trabajos fin de grado, trabajos fin de máster o realizando la tesis y que quieren realizar un análisis cuantitativo en sus estudios.

0
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Sep 29th 2014

Try your hand at understanding the brain by learning to analyze neural data yourself! Working with real neural data sets from neuroscience research labs, you’ll learn data analysis techniques so you can discover for yourself how the brain works.

0
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Sep 25th 2014

Introductory Machine Learning course covering theory, algorithms and applications. Our focus is on real understanding, not just "knowing."

0
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Sep 23rd 2014

This course introduces concepts, algorithms, programming, theory and design of spatial computing technologies such as global positioning systems (GPS), Google Maps, location-based services and geographic information systems. Learn how to collect, analyze, and visualize your own spatial datasets while avoiding common pitfalls and building better location-aware technologies.

0
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Sep 22nd 2014

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.

0
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Sep 22nd 2014

Learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself.

8.33333
Average: 8.3 (3 votes)
Sep 21st 2014

Learn how to model social and economic networks and their impact on human behavior. How do networks form, why do they exhibit certain patterns, and how does their structure impact diffusion, learning, and other behaviors? We will bring together models and techniques from economics, sociology, math, physics, statistics and computer science to answer these questions.

0
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Sep 15th 2014

课程的主要目标是:(1)了解流行病学研究过程中,从研究设计、现场数据采集和录入、到数据清理和分析,常用的几种软件包的使用方法;(2)加强研究中对流行病学基础理论知识的灵活应用。

0
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Sep 9th 2014

Learn statistics in a practical, experimental way, through statistical programming with R, using examples from the health sciences. We will take you on a journey from basic concepts of statistics to examples from the health science research frontier.

0
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Sep 2nd 2014

This is an intensive, advanced summer school (in the sense used by scientists) in some of the methods of computational, data-intensive science. It covers a variety of topics from applied computer science and engineering, and statistics, and it requires a strong background in computing, statistics, and data-intensive research.

0
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Sep 1st 2014

Learn how to draw conclusions about populations or scientific truths from data.

0
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Sep 1st 2014

Learn the concepts and tools behind reporting modern data analyses in a reproducible manner.

0
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Sep 1st 2014

Learn how to use regression models, the most important statistical analysis tool in the data scientist's toolkit.

0
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