You’ll start with three weeks of Orientation, where you’ll get comfortable with the online learning platform, connect with fellow learners, and plan your studies. You’ll also meet your Success Manager and Career Coach, who will help you personalise your plan of attack to achieve your version of success.

In course one you’ll start to explore the strategic solutions behind complex organisational challenges. You’ll develop advanced critical and statistical thinking skills by identifying patterns in data, and work with statistical techniques to enhance your data representation and model performance. You’ll also design innovative solutions with unsupervised learning techniques.

You’ll continue to build on your problem-solving skills by analysing diverse business scenarios and identifying the key issues. You’ll learn how to inform your decisions with regression, classification, algorithms, and ensemble techniques. You’ll also build advanced machine learning models that develop accurate business predictions and leverage deep learning to extract insights from complex data.

After completing course three, you’ll understand how natural language processing is applied to a range of organisational contexts, and how it can be leveraged to create solutions to business challenges. In this course, you’ll explore time series forecasting techniques in real-world contexts and learn how to ensure the insights you generate lead to informed decision-making and enhanced operational efficiency.

In this final project, you’ll apply everything you’ve learned to solve a challenge faced by a real-world company. It’s an opportunity to tackle real problems, generate value, and gain relevant feedback and experience. You’ll build first-hand knowledge of what it takes to be successful as a data scientist – equipping you to stand out for your next career opportunity. You’ll also explore the future of data science, particularly generative AI applications in business, such as ChatGPT.