DIPLOMA OF DATA SCIENCE*

DATA SCIENCE BOOTCAMP*

STARTS FEB 2022

FACE TO FACE (SYD | MELB | BRIS) OR VIRTUAL CLASSROOM

 

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*Awarded by Academy of Information Technology (RTO: 90511, Registered Higher Education Provider: PRV12005). AIT is currently in the process of seeking regulatory accreditation for this course.

DOWNLOAD COURSE GUIDE

 

Help fill the skills gap.

Australia needs more Data professionals, and fast. 

Transform your career with an accredited Data Science Bootcamp* that offers an optional 1-month industry internship.

Speak to one of our course advisors today about whether this Bootcamp is right for you!

BOOK A CALL

*Diploma of Data Science: Pending Accreditation.

Start your new career now!

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Optional Industry Internship

Contextualise what you have learnt and apply your skills and knowledge to real-world opportunities.

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Learn Industry relevant technologies.

Python | SQL | Bash | Amazon Web Services | Linux | Git, CI/CD pipelines and docker | HTML, CSS and Jekyll.

 

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Payment Options Available

Instalment payments | FEE-HELP Loans - More details regarding FEE-HELP tuition loans are available at studyassist.gov.au .

WHY DATA SCIENCE?

  • Australia Has Outdated Skills

    Data analysis skills are not at the level required or are outdated compared with their employers’ requirements. More than half of Australians possess a little-to-no understanding of coding, blockchain, AI and data visualisation.^

  • Most Sought After Role

    Roles advertised by tech companies including machine learning (ML), data science, data engineering, and visualization ranked as the 2nd most sought after job types, surpassing traditional skills such as engineering, customer support, marketing and PR, and administration. *

  • Globally In-Demand

    Demand for data science professionals is predicted to increase 27.7 per cent across the next 5 years.**

    *Deloitte Insights (2021) **Seek.com.au (2021) ^RMIT (2021)

What you will learn

See below to learn more about the subjects covered in the bootcamp

Programming for Data Analytics

Programming for Data Analytics

This subject introduces students to the usage of a programming language within the domain of data analytics. 

Statistical Analysis

Statistical Analysis

This subject focuses on teaching students advanced techniques in data analytics, which are commonly used in major enterprises.

Data Engineering

Data Engineering

Build automated pipelines to extract, transform, and load (ETL) data from a given database with raw information into another, analytics database.

Machine Learning

Machine Learning

This subject teaches students how to discover patterns and relationships in aggregated data by building algorithms from a top-down, code-first approach.

Cloud Computing, Data Ethics and Privacy

Cloud Computing, Data Ethics and Privacy

This subject will expose students to industry-standard best practices in cloud computing for data professionals, data ethics, and privacy-preserving data analysis.

Software Design for Data Professionals

Software Design for Data Professionals

This subject focuses on teaching students industry-standard best practices at the intersection of software engineering and data analysis.

Elective: Bootcamp Placement Program

Elective: Bootcamp Placement Program

This Placement Program will provide an opportunity for students to apply what they know, be mentored, receive feedback and seek opportunities for development in a real-world setting.

Elective: Bootcamp Industry Project

Elective: Bootcamp Industry Project

During this subject, students will complete an industry project of their choosing, based on the learning acquired during their studies.

Chinonso John Nkpolukwu

Coder Academy Student
"I wanted a career in Web development and through my research, I discovered that a Bootcamp would provide me with the quickest and most successful path into the tech industry. My experience with Coder Academy so far has been intense, challenging but absolutely worthwhile."

Ana Lastoviria

Coder Academy Student
"Doing a Bootcamp has been very hard but so rewarding. The amount of growth I have experienced in these few months has been mind-blowing. I’m extremely motivated to find my first role and can’t wait to see what lies ahead for me on my career change journey!"

Grey Joyner

Coder Academy Student
"I was proud of building the game Battleship in the terminal as my final project for Term 1. I implemented some logic to the computer’s moves which were fun to think through. I also enjoyed building my own website!"

WHAT YOU WILL LEARN

CLICK ON THE TILES BELOW TO LEARN MORE ABOUT THE SUBJECTS COVERED IN THE BOOTCAMP

Programming for Data Analytics

This subject introduces students to the usage of a programming language within the domain of data analytics. 

Statistical Analysis

This subject focuses on teaching students advanced techniques in data analytics, which are commonly used in major enterprises.

Data Engineering

Build automated pipelines to extract, transform, and load (ETL) data from a given database with raw information into another, analytics database.

Machine Learning

This subject teaches students how to discover patterns and relationships in aggregated data by building algorithms from a top-down, code-first ...

Cloud Computing, Data Ethics and Privacy

This subject will expose students to industry-standard best practices in cloud computing for data professionals, data ethics, and privacy-preserving ...

Software Design for Data Professionals

This subject focuses on teaching students industry-standard best practices at the intersection of software engineering and data analysis.

Elective: Bootcamp Placement Program

This Placement Program will provide an opportunity for students to apply what they know, be mentored, receive feedback and seek opportunities for ...

Elective: Bootcamp Industry Project

During this subject, students will complete an industry project of their choosing, based on the learning acquired during their studies.

Download Course Guide