E.g., Thursday, July 30, 2015
E.g., Thursday, July 30, 2015
E.g., Thursday, July 30, 2015
Self Paced

The Apache™ Hadoop® project develops open-source software for reliable, scalable, distributed computing. Learn the fundamental principles behind it, and how you can use its power to make sense of your Big Data.

0
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Self Paced

Learn what it takes to become a data scientist.

0
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Self Paced

This FREE MOOC (Massive Open Online Course) investigates the use of clouds running data analytics collaboratively for processing Big Data to solve problems in Big Data Applications and Analytics. Case studies such as Netflix recommender systems, Genomic data, and more will be discussed.

0
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Self Paced

A real Caltech course, not a watered-down version. This is an introductory course in machine learning (ML) that covers the basic theory, algorithms, and applications.

8
Average: 8 (1 vote)
Self Paced Course - Start anytime

Data Manipulation and Retrieval. In this course, we will explore how to wrangle data from diverse sources and shape it to enable data-driven applications. Some data scientists spend the bulk of their time doing this!

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Aug 23rd 2015

Le MOOC « Fondamentaux pour le big data » permet d'acquérir efficacement le niveau prérequis en informatique et en statistiques pour suivre des formations dans le domaine du big data.

0
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Aug 3rd 2015

Learn how you can predict customer demand and preferences by using the data that is all around you.

9
Average: 9 (3 votes)
Jul 1st 2015

Learn how and when to use key methods for educational data mining and learning analytics on large-scale educational data.

0
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Jun 23rd 2015

Big Data is an extraordinary knowledge revolution that is sweeping through business, academia, government, healthcare, and everyday life. It enables us to provide a healthier life for our children, ensure safety and independence for older people, conserve precious resources like water and energy, and peer into our own individual, genetic makeup. The term “Big Data” describes the accumulation and analysis of vast amounts of information. But Big Data is much more than big data. It’s also the ability to extract meaning: to sort through masses of numbers and find the hidden patterns and unexpected correlations.
You’ll learn from use cases what it takes to extract that value from Big Data, and...

0
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Jun 1st 2015

Learn how to apply data science techniques using parallel programming in Apache Spark to explore big (and small) data.

0
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Apr 20th 2015

Join us to explore how the vast amounts of data generated today can help us understand and even predict how humans behave.

0
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May 12th 2015

Learn about the value, opportunity, and insights that Big Data provides. Get introduced to the Federation Business Data Lake solution to leverage the full power of big data to drive major business strategies.

0
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Oct 28th 2014

This course follows on from Data Mining with Weka and provides a deeper account of data mining tools and techniques. Again the emphasis is on principles and practical data mining using Weka, rather than mathematical theory or advanced details of particular algorithms.

10
Average: 10 (1 vote)
Sep 2nd 2014

This is an intensive, advanced summer school (in the sense used by scientists) in some of the methods of computational, data-intensive science. It covers a variety of topics from applied computer science and engineering, and statistics, and it requires a strong background in computing, statistics, and data-intensive research.

0
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May 12th 2014

Understanding big data, how to use it to improve companies, cities, and government, and best-practice for privacy.

0
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Feb 17th 2014

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.

0
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Mar 3rd 2014

This 5 week MOOC will introduce data mining concepts through practical experience with the free Weka tool.

8.66667
Average: 8.7 (3 votes)
Oct 24th 2013

Education is increasingly occurring online or in educational software, resulting in an explosion of data that can be used to improve educational effectiveness and support basic research on learning. In this course, you will learn how and when to use key methods for educational data mining and learning analytics on this data.

0
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