Short course or microcredential
A part-time 10-week, in-person, or remote course for data professionals that teaches them to solve problems using computation that involve large data sets.
Designed With — and for — Data Professionals
Concentrate on the most important tools for data scientists on the job. GA’s data science advisory board regularly curates the best practices and innovative teaching approaches of our entire expert network to emphasise real-world relevance and meet evolving employer demands. Its work ensures that students graduate ready to tackle the challenges they’ll face in the field.
Harness the Predictive Power of Data
Tailored for students with quantitative or programming backgrounds, this course dives into the essentials of data science: Python programming, exploratory data analysis, data modeling, and machine learning. Get the hands-on experience you need to synthesise extremely large data sets, build predictive models, and tell a compelling story to stakeholders.
In this course, students will learn how to create a basic website with HTML and CSS. Then, students progress to programming with Javascript and JQuery basics. Finally, students build an interactive website that showcases their learning and skill. The course covers such popular front-end development tools as Git, GitHub, text editors, HTML5, CSS3, Javascript and Responsive web design.
Programming Basics
Practice the fundamentals of evidence science by practising basic functions in Python.
Research Design and Exploratory Data Analysis
Practice exploratory data analysis for cleaning and aggregating data and understanding the basic statistical testing values of your data.
Create linear and logistic regression models, and branch from statistics into machine learning with kNN and classification.
Learn and practice core machine learning models to evaluate complex problems