Big Data Analytics
Learn key technologies and techniques, including R and Apache Spark, to analyse large-scale data sets to uncover valuable business information.
| Length: | 10 weeks |
| Effort: | 8 to 10 hours per week |
| Level: | Intermediate |
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.
What you'll 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.
University pathways
Related degrees from the University of Adelaide
Master of Data Science
This program provides the necessary skills for entering the world of big data and data science.
Bachelor of Computer Science
Want to study at the cutting edge of the growing technological age and build a career that can change the world?