What our students say...
"I had noticed that tools in Data Mining could be used to learn clusters and hence to automate my work tasks. I decided to take the course and to go a little deeper . Since I took the course, I have been able to exploit many algorithms to learn patterns and hence assign labels/categories to things in a highly automated way. In addition to the new skills learned I managed to re-kindle skills in Analytics, Software Engineering, Big data and visualisations that I had worked on before, but the course also helped me to hone these skills.
The lectures were delivered online so there was no need to attend in person, but there was always the option to arrange a meeting with a tutor or project supervisor if you so wished or needed that extra support. Each evening is recorded and available on Moodle and hence you never really lose out if you have a conflict. You can listen to the lecture when it suits you. Although, if you wish to ask a question it is best to try to attend on the event.
When combining a day job with a course, it is essential to have a clear line of sight of activities due at the start of each module. The roadmap is very clearly set-out at the beginning of a module and there was a definite plan for the activities. The course is exciting. If your work life involves Spreadsheets, SQL statements, VLOOKUP, PowerPoint charts, then this course is for you. The course allows you to update your skills and knowledge in a field that is currently very popular. Deep Learning, Advanced Analytics, Predictions, Scoring, ETL (extract transform load) and visualisations will be demonstrated to you naturally and understandably. You will gain practical experience, do projects and importantly be able to use these techniques in your day job. The highlight for me was doing the Research Project and taking final delivery of my Thesis.
I enjoyed the course and gained a tremendous benefit from doing it. I feel so much more confident now tackling big data jobs, drawing charts, or using Predictive Analytics."
David Moore,
Graduate Master of Science in Computing (Applied Data Science & Analytics)
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