Developing data analysis workflows
Work with and visualise spatial and temporal data
Developing statistical models
Data collection methods
Develop your own interactive dashboard that tells a data-driven storyData 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.
This is a practical microcredential and the application of the skills you’ll learn will benefit a wide range of professional contexts.
From manufacturing to healthcare, tourism to transportation, and media to government, if data or business intelligence is essential to the success of your organisation, this course will ensure you can use your data to make effective business decisions.
This data science microcredential is designed for anyone interested in developing skills in industry-standard tools and techniques, and enhancing their ability to use data to inform real-world decision-making.
Monash strongly recommends that you’ve studied maths or statistics at a first-year undergraduate level before joining this microcredential. To complete the programming exercises, you’ll need a computer to install and run RStudio and install R packages.