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 (10 hours per week) 100% online
- Next start date
- 20 Jan 2020
- Python, SQL, Probability and Statistics, Machine Learning, Mathematics, Data Wrangling
100% online, mentor supported, workplace ready
The data science field is booming, with PwC estimating an additional 2.7 million jobs globally. Data scientists are among the most sought after positions, and yet, Australia is facing an emerging skills deficit in prepared talent for Industry 4.0. In this course, you’ll get hands-on experience running data pipelines, designing experiments, building recommendation systems, and more.
This course offers an ideal path for experienced programmers and data analysts to advance their data science careers.
You’ll master the skills necessary to become a successful Data Scientist. You’ll work on projects designed by industry experts, and learn to run data pipelines, design experiments, build recommendation systems, and deploy solutions to the cloud. By the end of the course, you’ll have an impressive portfolio of real-world projects and valuable hands-on experience.
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.
Solving data science problems
Data science processes
Building effective data visualisations
Software engineering for data scientists
Essential software engineering skills for data scientists
Creating unit tests
Data engineering for data scientists
Holistic data science process
Running pipelines and transforming data
Deploying solutions to the cloud
Experiment design and recommendations
Analysing A/B test results
Explore approaches for building recommendation systems
Data science projects
Build your own open-ended Data Science project
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.