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.
- 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
100% online, mentor supported, workplace ready
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.
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).
Gather, assess and clean data, Python programming, SQL, inferential statistics, A/B testing, wrangling data, data visualisation, communicating data findings.
Get RMIT certified
After completing an RMIT Future Skills course, you will earn an RMIT certificate and credential which can be validated, recognised and shared on social media platforms.
Introduction to Data Analysis
Anaconda and Jupyter
Data analysis process
Pandas and Numpy
Programming workflow for data analysis
Probability and standardising
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
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.