Big Data Fundamentals

Payment
Обучение бесплатное
Certificate
Сертификация платная
Duration
1 час курса
О курсе

Organizations now have access to massive amounts of data and it’s influencing the way they operate. They are realizing in order to be successful they must leverage their data to make effective business decisions.

In this course, part of the Big Data MicroMasters program, you will learn how big data is driving organisational change and the key challenges organizations face when trying to analyse massive data sets.

You will learn fundamental techniques, such as data mining and stream processing. You will also learn how to design and implement PageRank algorithms using MapReduce, a programming paradigm that allows for massive scalability across hundreds or thousands of servers in a Hadoop cluster. You will learn how big data has improved web search and how online advertising systems work.

By the end of this course, you will have a better understanding of the various applications of big data methods in industry and research.

Программа
Big Data Fundamentals
Learn how big data is driving organisational change and essential analytical tools and techniques, including data mining and PageRank algorithms.
Что Вы изучите?
  • Knowledge and application of MapReduce
  • Understanding the rate of occurrences of events in big data
  • How to design algorithms for stream processing and counting of frequent elements in Big Data
  • Understand and design PageRank algorithms
  • Understand underlying random walk algorithms
Лекторы
Frank Neumann
Frank Neumann
Professor, School of Computer Science University of Adelaide
Frank is a professor in the School of Computer Science and in his work he considers algorithmic approaches in particular for combined and multi-objective optimising problems. He focuses on theoretical aspects of evolutionary computation as well as high impact applications in the areas of renewable energy, logistics and sport.
Vahid Roostapour
Vahid Roostapour
PhD Student, School of Computer Science University of Adelaide
Vahid is a PhD student in the School of Computer Science at the University of Adelaide. His research focuses on bio-inspired algorithms and problems with dynamically changing constraints. He is also actively involved with lecturing and tutoring within the Mining Big Data course at the University of Adelaide.
Aneta Neumann
Aneta Neumann
Postgraduate Researcher, School of Computer Science University of Adelaide
Aneta is currently undertaking postgraduate research in the School of Computer Science at the University of Adelaide. Her main research interest is understanding the fundamental link between bio-inspired computation and digital art.
Wanru (Kelly) Gao
Wanru (Kelly) Gao
Lecturer, School of Computer Science University of Adelaide
Kelly is a lecturer in the School of Computer Science at the University of Adelaide. She has been teaching several introductory computer science courses and some advanced courses about algorithms and evolutionary computation. Her research interests mainly focus on the area of combinatorial optimisation, diversity maximisation in evolutionary algorithms and theoretical analysis of heuristic search methods.
Платформа
EdX
Эта платформа предоставляет все курсы бесплатно. Авторами выступают топовые университеты и корпорации, которые стараются удерживать стандарты качества. За несоблюдение дедлайнов, невыполнение домашнего задания студенты теряют баллы. Как и в других платформах, лекционные видео чередуются с практическими заданиями. Обучение проводится на английском, китайском, испанском, французском и хинди.
Big Data Fundamentals