Programming for Data Science
Learn how to apply fundamental programming concepts, computational thinking and data analysis techniques to solve real-world data science problems.
| Length: | 10 weeks |
| Effort: | 8 to 10 hours per week |
| Level: | Intermediate |
There is a rising demand for people with the skills to work with Big Data sets and this course can start you on your journey through our Big Data MicroMasters program towards a recognised credential in this highly competitive area.
Using practical activities and our innovative ProcessingJS Workspace application you will learn how digital technologies work and will develop your coding skills through engaging and collaborative assignments.
You will learn algorithm design as well as fundamental programming concepts such as data selection, iteration and functional decomposition, data abstraction and organisation. In addition to this you will learn how to perform simple data visualisations using ProcessingJS and embed your learning using problem-based assignments.This course will test your knowledge and skills in solving small-scale data science problems working with real-world datasets and develop your understanding of big data in the world around you.
What you'll learn
- How to analyse data and perform simple data visualisations using ProcessingJS
- Understand and apply introductory programming concepts such as sequencing, iteration and selection
- Equip you to study computer science or other programming languages
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?