Post-Diploma Certificate in Applied Data Science (part of Specialist Diploma in Business Analytics & Data Science)
About this course
Course objectives
The Post-Diploma Certificate in Applied Data Science focus on skills to preprocess textual data, implement advanced machine learning algorithms, and evaluate model performance for various business applications.
This programme is designed with a practice-oriented approach in training and covers the latest technologies, platforms, and trends in analytics. Graduates from this course will be able to contribute effectively towards their organisations’ analytics efforts to gain insights, spot trends, and make informed decisions. The knowledge and skillsets gained from this programme will prepare graduates for a career as a data analytics practitioner across a wide spectrum of industries.
Upon completion of the Post-Diploma Certificate, learners will be able to:Perform data preparation operations to pre-process textual data to address business needs using analytical software.Implement complex supervised and unsupervised machine learning algorithms for different business domains using analytical software and programming.Evaluate the use of machine learning and deep learning techniques using appropriate metrics for measurement for different business scenarios.Develop data science solutions to predict desired business outcomes by meeting the expectation of stakeholders.
Course description
The Post-Diploma Certificate in Applied Data Science (PDC2) is part of Specialist Diploma in Business Analytics & Data Science and consists of 150 hours of training. This PDC consists of the following modules: Data Science for Business (45 hours) Text Analytics & Applications (30 hours) Applied Deep Learning (45 hours) Applied Data Science Project (30 hours)
Target audiences
Working professionals who wished to:Upgrade their analytical skills from simple Business Intelligence reporting to more advanced data analytics techniques;Develop competencies in how analytics are applied across industries and business domains