Machine Learning and Data Visualization
Students will develop the relevant skillsets to build data-driven Machine Learning/ AI applications and cognitive products using Python. They will also learn to wrangle data and apply visualization techniques with Python. Additionally, students will also learn to use R to manage and pre-process data, perform data analytics and develop analytic models for the visual representation of data as well as various visualization techniques for effective communication of information through graphical means. After completing the course, students will be able to develop intelligent applications that harness the power of AI to help them gain a competitive edge.
In this course, students will learn the skills to implement a relational database, and to use SQL statements to query database systems. They will also be able to apply selected AI and machine learning/deep learning algorithms to solve real world problems and use machine learning tools to build ML models for prediction and classification tasks. This course will also cover data pre-processing, and statistical techniques such as linear regression and multivariate regression for model prediction. Last but not least, Students will learn to use R and RStudio for exploratory data analysis and visualization, and understand the common pitfalls in data visualization & also the best practices for data visualization and story-telling.
1. Database System II
2. AI and Machine Learning I
3. AI and Machine Learning II
4. Data Visualization Using R
Project Duration
Part-time Study: 3 months (72 hours in total - excluding of lunch hour)
Mode of Delivery
Lectures, discussions, role play, E-learning, self-study, face-face tutorials, practicals.
Trainer Support
Students will receive guidance and instruction by highly qualified professors and lecturers from reputable Australian and Singaporean universities.
This course is designed for students to acquire the relevant skillsets to build data-driven Machine Learning / AI applications.
You don't need any specific qualifications to become one. All you need is a passion for a subject that can enhance people's lives. There is no specific academic qualification required.
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