This course pays special attention to specialised Python libraries for data retrieval and visualisation techniques. Statistic knowledge will also be taught to help students understand the advanced concepts of Data Science.
As part of the course, students will also be taught key data libraries, namely Pandas, Numpy and Matplotlib; these libraries are responsible for data loading, mathematical computations and data visualisation respectively.
Students can also look forward to receiving course materials that will serve as useful reference for post-course revision and practice. At the end of the course, students will be taught the basics of web service development and will be equipped with the basic tools needed to start their career in data science.
There are no open runs for this course at the moment. If you're interested in taking this course, you may join the waitlist and you will be notified when there are vacancies.
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