05. Using Workflows

Workflows capture complex multi-step methods for data analysis in a visual way that is easy to understand.  Learn to use workflows and run them with different kinds of data.

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11. Data Visualization

Data visualization is about transferring and presenting data in an understandable and easy way. Let’s see how to to do it!

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13. Analyzing different kinds of data (II)

Analyzing Time Series Data Time series data typically comes from sensors and other data collection instruments.  What can we do to analyze time series data?

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14. Analyzing different kinds of data (III)

Analyzing Network Data Network is one of the reasons that people stay connected to the world. For the expansive network data, there are specific method to cover the whole picture and analyze it.

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15. Analyzing different kinds of data (IV)

Analyzing Multimedia Data Many people take, edit, and post pictures and videos on social network sites everyday. There are very specific processes for analyzing pictures and videos to detect certain objects or patterns.

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16. Parallel and distributed computing for big data (I)

In order to increase the speed of data processing, analysis tasks can be carried out in parallel over distributed computer networks and computing clusters. Learn how to determine which steps can be conducted in parallel and which steps cannot be.

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17. Parallel and distributed computing for big data (II)

Parallel computing techniques can process data at a bigger scale.  Learn how the work is distributed, processed, and collected.

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19. Vocabularies and Taxonomies

Vocabularies provide standard terms to represent metadata.  Taxonomies organize vocabularies according to a hierarchy of classes.  Learn about well-known vocabularies and taxonomies for describing common metadata.

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20. Ontologies

Ontologies organize knowledge about objects, providing a shared vocabulary, a taxonomy of object classes, and additional constraints for their use. Ontologies enable people to use precise language to differentiate among objects, and are used to represent metadata.

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