Data becomes valuable when it allows us to make a decision or take action in the real world.
On this microcredential, you’ll work through practical programming exercises in R language to learn the process of tidying, harvesting and wrangling data and applying statistical models to simulate complex functions that solve a broad range of problems.
Using data visualisation techniques, you’ll learn to interpret and explain data to inform your decision-making process and communicate your message to others.
You’ll also explore the essential ethical, legal and organisational issues of data collection and management.
You’ll gain the skills you need to apply for roles as a data scientist or use the knowledge you’ve gained to enhance your current organisation.
The data science and data analytics industry is expected to grow by seven times in the next few years, reaching a value of $103 billion by 2023.
Courses under this program:
Course 1: Wrangling and Workflow
-Get an introduction to data science and learn how to make the most of your data through effective data wrangling and storytelling.
Course 2: Modelling and Visualisation
-Explore the role of data visualisation in data science, and learn how to use and apply data modelling techniques.
Course 3: Formats, Ethics, and Storytelling
-Evaluate the challenges of data variety, ethics, and privacy on this course in Monash University's data science microcredential.
Michael Niemann and Dianne Cook