Margarita is a senior analyst with over 7 years' experience across market research, analytics, and financial services. As a lead Tableau developer, her current role also focuses on advocating and empowering business users to use visual analytics, building up internal Tableau education programs and the nitty gritty details of server infrastructure. Passionate about people, data and the positive social impact the two combined can achieve, she’s also a current board member of Engineers Without Borders Australia and is registered on Tableau Service Corps.
100% online, mentor supported, workplace ready
Big data has created unlimited opportunities for organisations to analyse performance, predict business outcomes and shape future strategy. As a result, the global business analytics market is expected to reach $71.1 billion by 2022. This course has been developed in partnership with Udacity to harness your potential and capitalise on the explosion of career opportunities in the predictive analytics space.
Learn to apply predictive analytics and business intelligence to solve real-world business problems and transform your career.
Designed to prepare you for a career in predictive analytics, this course enables you to master a scientific approach to solving problems with data. You’ll learn how to analyse data, create dashboards, and build predictive models, while gaining fluency in leading software packages Alteryx and Tableau. Assessment is entirely project-based, and you’ll be immersed in datasets that solve real-world business issues.
Advanced analytics, linear regression, data wrangling different data types (including dirty data and outliers) binary and non-binary classifcation models, A/B testing, time series forecasting using ETS and ARMINA models, segmentation, clustering, Alteryx, Tableau.
Get RMIT certified
After completing an RMIT Future Skills course, you will earn an RMIT certificate which can be validated, recognised and shared on social media platforms.
Problem solving with advanced analytics
Framework for analytical approach
Multiple linear regression
Different data types
Dirty data and outliers
Reformatting and joining data from different sources
Binary classification models
Non-binary classification models
Driving business insights
Creating A/B testing
Executing A/B testing
Analysing A/B testing
Time series forecasting
ETS models and forecasting
ARIMA models and forecasting
Segmentation and clustering
Finding patterns in your data
Learn with Industry Experts
Get ready to meet some of the biggest names in the business
Kale Temple is a co-founder and practice director at Intellify where he leverages expertise in data science and machine learning to architect solutions that empower business performance and growth. He has consulted with a number of the world’s leading corporate and government organisations from over 5 years. Since 2014, he has co-founded and scaled two successful technology start-ups and as a data scientist and consultant at Agile BI, playing a key role in building the business from the ground up into a world-leading Microsoft Power BI partner. He holds a Bachelor of Liberal Arts and Sciences (Economics) and Masters of Economics (Economics & Econometrics) from the University of Sydney.