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
With Big Data exploding across every industry, data scientists are some of the most in-demand professionals in Australia. Corporate titans like Oracle, Apple and Microsoft have been deliberately scaling their data teams for years, and the McKinsey Global Institute estimates 200,000 data scientist job openings in 2019. The mid-range salary expectations can range up to $147,000, depending on experience.
Even better, job satisfaction for data scientists is consistently peachy, with Glassdoor reports putting the average at 4.2 out of 5.
Introduction to Data Science Programming is divided into two ‘tracks’: R and Python. Students can choose which programming language is right for them. Either way, both tracks will cover other fundamental data tools like SQL, Git and Version Control.
This course equips you with fundamental tools used by data scientists around the world: R or Python coding, SQL, command line and Git. Whether you’re new to data or an experienced analyst, this is your chance to upskill. Fast.
Python or R coding, SQL, Command Line, Git, Version Control, Numpy, Pandas, JOINs, Aggregations, data visualisation.
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.
Investigate a relational database
Advanced SQL Queries
Explore US Bikeshare data
Represent and store data using either Python or R data types and variables
Use conditionals and loops to control the flow of your programs
Numpy and Pandas
Post your work on Github
Introduction to Shell
Tagging, branching and merging
Working with remotes
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.