AdelaideX: Big Data Analytics
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Learn key technologies and techniques, including R and Apache Spark, to analyse large-scale data sets to uncover valuable business information.
About this course
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.
At a Glance:
Institution: AdelaideX
Subject: Computer Science
Level: Intermediate
Prerequisites:
Candidates pursuing the MicroMasters program are advised to completeProgramming for Data Science,Computational Thinking and Big Data&Big Data Fundamentalsbefore undertaking this course.
Language: English
Video Transcript: English
Associated programs:
MicroMasters® Program in Big Data
Associated skills:Apache Spark, Analytic Applications, Big Data Analytics, Data Analysis, Data Science, Big Data, Creativity, Statistical Modeling
What You’ll Learn:
About this course
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.
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