E.g., Thursday, October 2, 2014
E.g., Thursday, October 2, 2014
E.g., Thursday, October 2, 2014
Oct 27th 2014

Learn critical concepts and practical methods to support research data planning, collection, storage and dissemination.

9
Average: 9 (1 vote)
Oct 20th 2014

An introduction to the logic and methods of analysis of data to improve teaching and learning.

0
No votes yet
Oct 6th 2014

Learn how to gather and clean data from a variety of sources. This is the third course in the Johns Hopkins Data Science Course Track.

10
Average: 10 (1 vote)
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 6th 2014

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

0
No votes yet
Oct 6th 2014

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

0
No votes yet
Oct 6th 2014

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

0
No votes yet
Oct 6th 2014

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

0
No votes yet
Oct 6th 2014

We prepare high school teachers for teaching descriptive statistics. Teachers will learn basic principles for summarizing data in meaningful ways. Satellite videos will discuss pedagogy and teach statistical software via examples spanning pop culture, sports, health and other topics suitable for high school classrooms.

0
No votes yet
Oct 6th 2014

Get an overview of the data, questions, and tools that data analysts and data scientists work with. This is the first course in the Johns Hopkins Data Science Specialization.

0
No votes yet
Oct 6th 2014

Learn the basic components of building and applying prediction functions with an emphasis on practical applications.

0
No votes yet
Oct 6th 2014

Learn how to program in R and how to use R for effective data analysis. This is the second course in the Johns Hopkins Data Science Specialization.

0
No votes yet
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
No votes yet
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
No votes yet
Oct 1st 2014

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

0
No votes yet
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
No votes yet
Sep 25th 2014

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

10
Average: 10 (1 vote)

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