Ready to dive into the world of big data? Study the single-unit course, Data Processing for Big Data with Monash Online, and enhance your knowledge and career prospects in just six weeks!
Throughout this online course, you’ll learn about different kinds of data, from documents to graphs to spatial data. You’ll also learn how to use distributed processing technologies such as Hadoop and Spark, and complete programming assignments using Spark, Linux and more.
After six weeks of personal study and online group sessions, you’ll be conversant in data streaming methods and cloud computing; ready to apply spatial data methods and distributed processing; and much more.
To be eligible to study this course, applicants must meet the following entry requirements:
- Have completed FIT9132 – Introduction to Databases; AND
- Have completed FIT9133 – Programming Foundations in Python
What You’ll Learn
This is a single-unit course and may be used toward credit for future studies in data science.
Why study with Monash University?
Monash University offers its students a unique learning opportunity with their 100% online courses. Receive a premier experience with their personalised and interactive online courses in health, psychology and technology.
Undertake an online course and receive full access to instructors, fellow students, and dedicated tools including discussion forums and live video chat. With over 280,000 graduates and a ranking in the top 1% of the world’s universities (Times Higher Education Learning 2016-’17), Monash University is widely recognised and renowned as innovators of education.
As a student of Monash Online, you’ll be able to access their study planner tool, which will aid you with your time management and act as your personalised study timetable.
Their simple to navigate online courses makes online learning as seamless as possible, plus you'll have a personal Student Success Advisor to guide you throughout your learning journey.
Exchange ideas, receive feedback and generate opportunities by connecting with instructors and peers in real time.