Data visualization is about transferring and presenting data in an understandable and easy way. Let’s see how to to do it!
Analyzing Text Data Text is an important source of information. You may want to analyze text in customer reviews, social media, Web sites, etc. How to process text data?
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?
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.
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.
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.
Parallel computing techniques can process data at a bigger scale. Learn how the work is distributed, processed, and collected.
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.