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.
You will learn how to develop effective data visualisations for decision-making, and communicating your message to others, by utilising principles of cognitive perception and the grammar of graphics.
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 microcredential meets the standards set by the Common Microcredential Framework.
Learner Testimonials‘This course is the right mix of data science ‘sweet spot’ of technical knowledge, mathematics and the ability to apply deep context on the projects. It was indeed difficult, but I think appropriately so. It was an excellent experience and will make a really big difference to people who work alongside data scientists, or those who are considering a career but just want to try it out first.’
Matt McInnes (Managing Director, Lynxx Asia Pacific.)‘I highly recommend this course to anyone who a) has a solid foundation in statistics and b) is interested in becoming a data scientist. The course covers a wide range of topics in data science with plenty of interesting datasets and detailed instructions for hands-on practice in R programming. Helpful resources are also provided if one wants to dig deeper into any particular topics.’
Mena Ning Wang (Data Scientist, Partners Wealth Group)
Industry Insight‘We must give students the skills to dive into the data ocean. Yes, there are sharks and jellyfish and rip tides, but we can not be paralyzed by all the potential dangers. Students will go swimming with or without us, and all we can do is prepare them as best we are able. Monash’s Data Science: Data-Driven Decision Making is a start on learning to swim with data.’
Hadley Wickham (Chief Scientist, RStudio)