Big Data Analytics

Online Course

edX
Big Data Analytics

What is the course about?

Big Data Analytics
The course Big Data Analytics is an online class provided by University of Adelaide through edX. The skill level of the course is Intermediate. It may be possible to receive a verified certification or use the course to prepare for a degree.

Learn key technologies and techniques, including R and Apache Spark, to analyse large-scale data sets to uncover valuable business information.

Course description

Gain essential skills in today’s digital age to store, process and analyse data to inform business decisions. In this course, part of the Big Data MicroMasters program, you will develop your knowledge of big data analytics and enhance your programming and mathematical skills. You will learn to use essential analytic tools such as Apache Spark and R. Topics covered in this course include: cloud-based big data analysis; predictive analytics, including probabilistic and statistical models; application of large-scale data analysis; analysis of problem space and data needs. By the end of this course, you will be able to approach large-scale data science problems with creativity and initiative.

Prerequisites & Facts

Big Data Analytics

Course Topic

Computer Science, Data Analysis and Statistics

University, College, Institution

University of Adelaide

Course Skill Level

Intermediate

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

Degree & Cost

Big Data Analytics

To obtain a verified certificate from edX / University of Adelaide you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate (150.00 USD) or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.
University of Adelaide
Big Data Analytics
provided by edX

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Big Data Analytics
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School: University of Adelaide
Topic: Computer Science, Data Analysis and Statistics