E.g., Thursday, December 18, 2014
E.g., Thursday, December 18, 2014
E.g., Thursday, December 18, 2014
Jan 5th 2015

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

0
No votes yet
Jan 5th 2015

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
Jan 5th 2015

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)
Self study

When we use programming for problem-solving purposes, data must be stored in certain forms, or Data Structures, so that operations on that data will yield a specific type of output.

0
No votes yet
Oct 20th 2014

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

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)
Oct 27th 2014

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

9
Average: 9 (1 vote)
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
May 19th 2014

This free five-module online introductory course gives you the essential concepts, techniques, and skills to effectively work with data and produce compelling data stories under tight deadlines.

0
No votes yet
Mar 4th 2014

Through inspiring examples and stories, discover the power of data and use analytics to provide an edge to your career and your life.

0
No votes yet
Jan 6th 2014

This course is about learning the fundamental computing skills necessary for effective data analysis.

6
Average: 6 (1 vote)
Nov 18th 2013

This course on Grid Computing aims to provide you with an understanding of the key concepts that underlie Grid technology and the role that Grid Computing can play in computationally intensive problems. It also aims to help researchers, regardless of their major (High Energy Physics, Biology, Earth observation, etc), to feel confident of their ability to use the Grid Infrastructure.

0
No votes yet
Oct 28th 2013

Learn about the most effective data analysis methods to solve problems and achieve insight.

7.5
Average: 7.5 (2 votes)
Apr 1st 2013

This course is an introduction to the key ideas and principles of the collection, display, and analysis of data to guide you in making valid and appropriate conclusions about the world.

8
Average: 8 (1 vote)
Mar 25th 2013

With existing data, you will develop skills in data analysis and basic statistics by exploring your own research question.

0
No votes yet
 

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