The Data Science & Artificial Intelligence (AI) Program is designed for IT and non-IT professionals who are interested to transition their career into data science, analytics, machine learning and artificial intelligence. The program includes practical training, industry certification and job placement support to help professionals secure a job as a Data Analyst or Data Scientist.

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Overview

The data science & AI program is delivered in a 24 week part time and 12 week full time format and is designed for career-driven professionals to transition into the big data and AI industry. The program includes pre-work, intensive practical training, industry certification and a job outcomes program in collaboration with industry partners. The course content has been tailored to give you the skills that are demanded by businesses in today’s rapidly evolving job market.

Remote learning is available for this program. The interactive remote format enabled by video conferencing technology is a rich and connected experience featuring virtual break-out rooms, shared screens, digital whiteboards, peer to peer collaboration and instructor support.

Discuss with a Career Consultant

You can schedule a call with an Institute of Data Career Consultant to discuss this course.

THE DEMAND FOR CYBER TALENT

The opportunity is massive in both Virginia and across the United States. According to research from cyberseek.org, in Virginia alone, there are currently over 54,000 open cybersecurity roles and a very low supply of cybersecurity talent.

What is Practical Data Science Training?

Practical data science training is an essential requirement to practice as a Data Scientist or Data Analyst in Australia. Learn from industry experts on how to apply machine learning and AI techniques for businesses and government organisations including business consulting and simulating commercial projects. This means you will be ready to work as a Data Scientist or Data Analyst.

Practical Training at the Institute

The Institute of Data welcomes you to Australia’s most in-demand practical data science training program.

Learn how to create predictive models by learning to wrangle, analyse, visualise, predict and find insight into data alongside the best data science trainers in Australia.

The Data Science & AI Program is a structured training program designed to help you develop the practical skills you will need as a Data Scientist or Data Analyst. After completing your Data Science & AI Program, you will be awarded the Data Science Certification from the Institute of Data.

Hundreds of professionals choose the Institute of Data every year to prepare them for their future career after careful consideration of their desired career progression and to attain maximum return on investment for their education. Leading the future of the profession, the Institute of Data offers a collaborative and successful program, driven to ensure you have the best start to your career.

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Enrolment deadline for the Data Science & Artificial Intelligence (AI) Program 

Full-time & part-time enrolments close

7th March 2022

With the Institute of Data you will..

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Be ready to practice data science

The Institute of Data’s courses are designed to prepare students for real commercial work in the area of data science, AI and big data. It is focused on practical in-class training, labs and real-life projects.

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Receive the best training and the latest curriculum

The Institute of Data trainers are actively working in the industry and will teach you how to practice data science and advanced analytics. The curriculum is developed by the Institute of Data Academic Board with decades of experience working in data science.

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Be more attractive to employers

The Institute of Data’s Data Science & AI Program results in the Data Science Certification which signals to employers that you are ready to join the industry. Your resume and profile will be reviewed by your Job Outcomes team to give you the best possible chance of success.

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Get more support and guidance

The member network offers support and guidance from mentors and direct connections to the industry. You will meet employers in-person at both exclusive and public events held by the Institute of Data.

Program structure

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Be ready to practice data science

The Institute of Data’s courses are designed to prepare students for real commercial work in the area of data science, AI and big data. It is focused on practical in-class training, labs and real-life projects.

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Remote or In Class Training

Students undertake a professional in-classroom course from a team of expert industry trainers from leading consultancies and enterprises to acquire the most sought-after practical training in the country.

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Job outcomes

You will undergo a Job Outcomes Program through the Institute of Data which will help position you for the best chance of a new job opportunity and/or internal promotion. Land a job in one of the most sought after fields in tech with the guidance of Professional Career Coaches and access to our hiring network.

How will I be assessed?

The Institute of Data - Data Science & AI Program is assessed through completion of labs and a final capstone project. There is no formal exam. The capstone project is a real-life project and is assessed against the Institute of Data Certification Standards set by the Academic Board and Examination Board.

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Industry Partners & Contacts


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We'll help you transition into the big data, data science and artificial intelligence industry. We have a 93% job outcome success rate within 180 days of graduation for active job seekers.

Syllabus Breakdown

Mathematics, Statistics and Programming for Data Science
  • Course Introduction and Overview
  • Programming Fundamentals for Data Science
  • Maths & Statistics Fundamentals for Data Science
  • Data Science Practice (ongoing)
Exploratory Data Analysis and Data Science Practices
  • Data Cleaning and Quality Assessment
  • Data Visualisation
  • Statistical Testing
  • Succeeding as a Data Scientist in Industry
  • Mini Project 1 – Data Science Practice
  • Critical Thinking Training
Databases and APIs
  • Relational and Non-Relational Databases
  • SQL
  • Application Programming Interfaces (APIs)
  • Data Science Practice (ongoing)
Machine Learning - Supervised Learning - Regression
  • Introduction to Machine Learning
  • Feature Modelling
  • Evaluating Regression Models
  • Overfitting and Regularisation
  • Questioning Technique Training
Machine Learning - Supervised Learning - Classification
  • Logistic Regression
  • Evaluating Classification Models
  • Support Vector Machines
  • Bayesian Inference
  • Data Science Practice (ongoing)
Machine Learning - Unsupervised Learning
  • K-means Clustering
  • Principal Components Analysis
  • Research and Documentation Training
  • Mini Project 2 – Data Science Practice
Decision Trees and Ensemble Methods
  • Decision Trees
  • Random Forests
  • Bias and Variance
  • Bagging
  • Boosting
  • Stacking
  • Data Science Practice (ongoing)
Natural Language Processing (NLP)
  • Web Scraping
  • Text Pre-processing
  • Sentiment Analysis
  • Text Classification
  • Presentation Skills Training
  • Data Science Practice (ongoing)
Artificial Intelligence and Deep Learning
  • Introduction to Artificial Intelligence
  • Reinforcement Learning
  • Deep Feedforward Neural Networks
  • Recurrent Neural Networks
  • Convolutional Neural Networks
  • Mini Project 3 – Data Science Practice
Machine Learning Deployment and Cloud Computing
  • Introduction to Cloud Computing
  • Deployment of Machine Learning Models
  • Cluster Computing
  • Streaming Data
  • Storytelling Training
  • Capstone Project
Ongoing Modules
  • Additional Topics: Determined by Students and Lead Trainer
  • Job Outcomes Program
  • Consultation and Presentation Training
  • Data Science Practice
  • Capstone Project

FAQs

Fees and Payment
Pre-payment deposit of $500 is required to enrol. Current fees are $17,500 for the full time and part time program. Interest free financing options available.
Course Entry Requirements
  • Completion of a bachelor degree in any field of studies
  • Completion of any previous qualification undertaken in English or obtained IELTS 5.5
  • Completion of assigned online pre-work provided to you when you enrol
Time Commitment: Part Time Program
24 weeks intensive remote or in-class training | 2 night classes per week + 1 fortnightly Saturday class
Time Commitment: Full Time Program
12 weeks intensive remote or in-class training | Monday-Friday
Location
Sydney, Melbourne & Remote
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