Data Management

 

 


 

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E.g., 2016-12-09
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E.g., 2016-12-09
Dec 13th 2016

En este curso profundizarás en las herramientas para el tratamiento y manejo de datos que ofrece Excel. Este es un curso de nivel intermedio que te permitirá trabajar con datos para su tratamiento y extraer conclusiones mediante el agrupamiento de datos, el uso de tablas y gráficos dinámicos, la realización de análisis de hipótesis y la vinculación de datos de otras hojas de cálculo.

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Dec 12th 2016

Whether being used to customize advertising to millions of website visitors or streamline inventory ordering at a small restaurant, data is becoming more integral to success. Too often, we’re not sure how use data to find answers to the questions that will make us more successful in what we do. In this course, you will discover what data is and think about what questions you have that can be answered by the data – even if you’ve never thought about data before. Based on existing data, you will learn to develop a research question, describe the variables and their relationships, calculate basic statistics, and present your results clearly. By the end of the course, you will be able to use powerful data analysis tools – either SAS or Python – to manage and visualize your data, including how to deal with missing data, variable groups, and graphs. Throughout the course, you will share your progress with others to gain valuable feedback, while also learning how your peers use data to answer their own questions.

Average: 7.7 (7 votes)
Dec 5th 2016

This course will provide learners with an introduction to research data management and sharing. After completing this course, learners will understand the diversity of data and their management needs across the research data lifecycle, be able to identify the components of good data management plans, and be familiar with best practices for working with data including the organization, documentation, and storage and security of data. Learners will also understand the impetus and importance of archiving and sharing data as well as how to assess the trustworthiness of repositories.

Average: 6.7 (3 votes)
Nov 21st 2016

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

Average: 9 (1 vote)
May 17th 2016

Learn the latest technologies for managing big data and using it to improve life in smart cities. Cities run on a stream of data. In the smart city, the innovative use of data helps provide better and more inventive services to improve people’s lives and make the entire city run more smoothly. But the data our cities collect nowadays is more massive and varied, and is accessed at higher speeds than ever before. This is Big Data. New technologies are constantly being developed to better manage Big Data. This computer science course, from the IEEE Smart Cities initiative and the University of Trento, helps students understand and use these new technologies to help improve a city.

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Mar 30th 2016

Learn the fundamentals of enterprise data storage and gain the skills to manage massive amounts of data with new technology. Technology trends such as shared-service infrastructures, cloud computing, Big Data, and the Internet of Things are all changing the way data is processed, stored, and used in enterprises. There is an increasing need for skilled enterprise storage architects and administrators.

Average: 5 (1 vote)
Sep 7th 2015

The „In-Memory Data Management" course in 2015 is the fourth iteration of Prof. Hasso Plattner's successful introduction into the inner mechanics of this recent technology. The course focuses on the management of enterprise data in column-oriented in-memory databases. Latest hardware and software trends led to the development of a new revolutionary database technology that enables flexible and lightning-fast analysis of massive amounts of enterprise data.

Average: 7.3 (3 votes)
Self Paced

The online course focuses on the management of enterprise data in column-oriented in-memory databases. Latest hardware and software trends led to the development of a new revolutionary technology that enables flexible and lightning-fast analysis of massive amounts of enterprise data.

Average: 8.3 (3 votes)