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Data Analytics MOOC Courses (MOOC List)

Data Analytics MOOC Courses (MOOC List)
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.

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.
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.
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!
Oct 15th 2015
 Aprenda a utilizar as novas metodologias de big data para a análise de grandes bancos de dados e para a melhoria dos processos de tomada de decisão.
Oct 12th 2015

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

Marketing & Communication

Sep 15th 2015
 Learn various methods of analysis including: unsupervised clustering, gene-set enrichment analyses, Bayesian integration, network visualization, and supervised machine learning applications to LINCS data and other relevant Big Data from high content molecular and phenotype profiling of human cells.
Aug 24th 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.
Aug 25th 2015

Learn why and how knowledge management and Big Data are vital to the new business era.

Business & Management, Social Sciences, Statistics & Data Analysis

Aug 3rd 2015

Learn how to use Hadoop technologies in Microsoft Azure HDInsight to process big data in this five week, hands-on course.

Computer Science: Programming & Software Engineering

Jul 1st 2015

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

Education, Statistics & Data Analysis

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…

Business & Management, Information, Technology, and Design, Marketing & Communication, Statistics & Data Analysis

Jun 1st 2015

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

Computer Science: Programming & Software Engineering

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.
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.
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.

Computer Science: Theory, Information, Technology, and Design, Mathematics, Statistics & Data Analysis

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.

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