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Predictive Analytics for Business

Learn to solve real-world business problems with predictive analytics and business intelligence. 

Time commitment
3 months (10 hours per week) 100% online
Next start date
20 Jan 2020
Algebra, descriptive statistics, and Excel
A$ 2000 incl GST
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100% online, mentor supported, workplace ready

Why learn Predictive Analytics for Business

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.

How does it work

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. 

Skills learned

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.

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After completing an RMIT Future Skills course, you will earn an RMIT certificate which can be validated, recognised and shared on social media platforms.

Course Structure

Module 1

Problem solving with advanced analytics

Framework for analytical approach

Linear regression

Multiple linear regression

Module 2

Data wrangling

Different data types

Dirty data and outliers

Reformatting and joining data from different sources

Module 3

Classification models

Binary classification models

Non-binary classification models

Driving business insights

Module 4

A/B testing

Creating A/B testing

Executing A/B testing

Analysing A/B testing 

Module 5

Time series forecasting

ETS models and forecasting

ARIMA models and forecasting



Module 6

Segmentation and clustering

Finding patterns in your data

Clustering data

Interpreting results

Learn with Industry Experts

Get ready to meet some of the biggest names in the business

Margarita MoyaSenior analyst, Westpac

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. 

Kale Temple
Kale TempleCo-founder and practice director at Intellify

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.

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