Udacity Data Science Courses, learn data science from industry experts at Facebook, Cloudera, MongoDB, Georgia Tech, and more. Udemy Data Science-related courses UH Data Mining Hypertextbook and Course, a new model for the data mining course, which includes a significant project on real-world data, and surveying the learning styles of students. Video lectures from conferences, workshops and the scientific lectures in the areas of machine learning, data and text mining, and semantic web.
Big-data is transforming the world. Here you will learn data mining and machine learning techniques to process large datasets and extract valuable knowledge from them. The book is based on Stanford Computer Science course CS246: Mining Massive Datasets (and CS345A: Data Mining). The book, like the course, is designed at the undergraduate computer science level with no formal prerequisites. To support deeper explorations, most of the chapters are supplemented with further reading references.
Learn how to make informed, data-driven business decisions with Penn State's 30-credit online Master of Professional Studies in Data Analytics with an option in Business Analytics. As a student in this data analytics degree program, you can acquire the business intelligence training needed to work in positions such as business analyst, analytic system designer, or data scientist. Learn how to apply big data analytics, data mining techniques, and predictive analytics to meet your organization's business objectives and leverage competitive advantage. Delivered in a strong partnership between four colleges and four academic departments from across the University, the business analytics degree program offers you the opportunity to benefit from the expertise and unique perspectives of faculty with diverse backgrounds. With their broad spectrum of experiences, our faculty can teach you to collect, classify, analyze, and model data at large and ultra-large scales and across domains using statistics, computer science, machine learning, and software engineering.
Lewis University's online Master of Science in Data Science degree program is designed to provide you a heightened mathematical and computer science skillset to address the issues surrounding the analysis of big data. The field of data science uses mathematical theory and techniques from probability, statistics, linear algebra, and modeling, along with computer science concepts and skills in distributed storage, distributed processing, networks, security, human-machine interfaces, software development, and algorithms to develop software and systems that enable consumers of big data to identify critical data assets and interpret them. The field is inherently interdisciplinary, as the skills and concepts of data science are applied in the natural sciences, the social sciences, the humanities, healthcare, business, and education. Lewis' online M.S. in Data Science provides you with skills in data mining, data visualization, predictive analysis, anddata management. Lewis University's online, 36 credit hour Master of Science in Data Science program offers two unique concentrations: Each concentration is designed to ensure that you are able to fully leverage the skills immediately in your career.
Data and big data analytics are fast becoming the lifeblood of any successful business. Getting the technology right can be challenging, but building the right team with the right skills to undertake big data initiatives can be even harder. Not surprisingly, that challenge is reflected in the rising demand for big data skills and certifications. According to research by IT research firm Foote Partners, both noncertified advanced data analytics skills and certified big data skills have gained value in recent years: with 74 advanced data analytics related skills and certifications rising in average value by 6 percent in 2015, followed by 116 advanced data analytics related skills and certifications increasing 4.8 percent overall in market value in 2016. Additionally, Foote Partners research found 123 related certified and noncertified big data skills seeing a 0.3 percent gain in value in the first quarter of 2017.