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English
What will you learn?
How to develop algorithms for the statistical analysis of big data;
Knowledge of big data applications;
How to use fundamental principles used in predictive analytics;
Evaluate and apply appropriate principles, techniques and theories to large-scale data science problems.
About the 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.
Program
Big Data Analytics
Learn key technologies and techniques, including R and Apache Spark, to analyse large-scale data sets to uncover valuable business information.
Lecturers
Lewis Mitchell
Lecturer in Applied Mathematics University of Adelaide
Simon Tuke
Lecturer in Statistics University of Adelaide
David Suter
Professor of Computer Science University of Adelaide
Platform
All the courses on this platform are free of charge. The authors are top universities and corporations that seek to maintain high quality standards. If you do not meet a deadline for assignments, you lose points. Like on other platforms, the videos in which the theory is explained are followed by practical assignments. Courses are available in English, Chinese, Spanish, French and Hindi.