On this course, you’ll be introduced to the tools and techniques used in applied data science.
You’ll explore the answers to important questions asked of business professionals today, such as why data science and machine learning have become so prevalent and what problems data science can address.
You’ll have the opportunity to improve your understanding of the fundamental aspects of applied data science methods and learn how to apply your newly acquired knowledge for the benefit of your organisation.
This course is for anyone who’d like to learn more about data science.
The course will be useful for students, novice programmers, and any professionals who interact with data.
For professionals or students who are new to the subject, the course will provide a foundation for advancing your career using data science and data analytics skills.
For those already working in the IT industry, you’ll have the opportunity to strengthen and develop your knowledge and expertise in the area of data analytics and, more generally, data science.
There are no programming prerequisites for students taking this module, but you should have a basic understanding of mathematical thinking and elementary statistics.
Please note that the individuals detailed in the ‘Who will you learn with?’ section below, are current staff members and may be subject to change.
Python, Jupyter Notebook, Pandas, Samtla API, Google Colab
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