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Become a Data Analyst

A comprehensive analysis course for those with Python experience. Uncover insights in Big Data and create data-driven solutions using SQL and statistics. Get ready to crunch some numbers.

Time commitment
4 months 100% online
Next start date
20 Jan 2020
Python programming, including common data analysis libraries (e.g., Numpy and Pandas), SQL Programming
A$ 2600 incl GST
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100% online, mentor supported, workplace ready

Why learn Data Analytics

Big Data is re-shaping the business landscape, and qualified Data Analysts are leading the charge (calculators in hand).

Employment prospects for Data Analysts are excellent: SEEK projects 9.5% job growth over the next five years, with nearly 5,000 new openings in 2019. The average salary benchmarks at $90k, with experienced analysts earning over $130,000. The industry is booming as more companies use statistical modelling to optimise growth and inform overall decision making. No doubt about it, data skills are in demand.

How does it work

This program is for those with some knowledge of Python (specifically Numpy and Pandas) who want to take the next step into Data Analysis. You’ll learn how to use Python, SQL and statistics to break down data insights, create number-driven solutions, and then weave those findings into a compelling story (the kind that gets stakeholder buy-in).

Skills learned

Gather, assess and clean data, Python programming, SQL, inferential statistics, A/B testing, wrangling data, data visualisation, communicating data findings.

Find out more in our FAQ section.

The freedom of online study


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.

Course Structure

Module 1

Introduction to Data Analysis

Anaconda and Jupyter

Data analysis process

Pandas and Numpy

Programming workflow for data analysis

Module 2

Practical statistics

Probability and standardising

Confidence intervals



Module 3

Data wrangling

Gathering data

Assessing data

Cleaning data

Module 4

Data visualisation with Python

Design of visualisations

Univariate exploration of data

Bivariate exploration of data

Multivariate exploration of data

Learn with Industry Experts

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

Margarita Moya
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 practise director at Intellify

Kale Temple is a co-founder and practise 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 Data Scientist & Consultant at Agile BI, played 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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