Transition from a beginner – with no prior coding experience – to a job-ready Data Scientist in 24 weeks on our part-time, online data analysis.
You will learn through 24 weeks of labs, real life exercises and projects. You will also get access to a range of career support services and networking opportunities.
Our aim is to prepare you for the real world – what industry needs now and spend a lot of time asking companies what specific skills they look for and then design our curriculum to include learning activities that help you master each key skill.
We ask potential students to complete some prework to ensure they understand the fundamentals of mathematics and data science, used and covered on the course.
This should take no more than 20 hours to complete and provides you with the right starting point to maximise your learning on the course.
Phase 2 focusses on Python, the coding language used throughout our course, covering Strings, Loops, Functions, Numeric data Lists, libraries such as Numpy and Matplotlib, Pandas and much more.
Phase 2 also covers business skills – these are the important ‘soft skills’ employers tell us they struggle most to find in junior data analysts.
In Phase 3 students cover advanced subjects such as SQL, Machine Learning, Working with Big Data, Cloud Technologies (eg. Google, Dataproc, BigQuery), Neural Networks (Google, AWS and Azure). Natural Language Processing, Text Vectorization.
There’s also a Machine Learning project to cement your knowledge and put what you’ve learned into practice.
Phase 3 is where students learn about Big Data, Docker, AWS, Non Rational Data Bases, Spark, APIs and work in groups of 3 or more on a real, green-field team project of their choosing.
There’s no better way to consolidate & extend your knowledge and prove what you can do to potential employers.