Data Virtualization enables distributed databases, as well as multiple heterogeneous data stores, to be accessed and viewed as a single database. Data Visualization is the display of data to end users graphically such as charts and dashboards.
Data Analytics is the process of deriving insights from data in order to make better decisions.
Robotic Process Automation (RPA) helps to rapidly automate repetitive or time-critical tasks. Some use cases include process automation, data acquisition and testing of web apps.
Representing these systems by mathematical models allows optimization algorithms to find optimal solutions that maximize revenue, minimize costs, or improve efficiency.
Natural language processing (NLP) makes it possible for machines to summarize and visualize patterns within text, cluster documents according to topics, and extract and prioritize recurring customer concerns found in text data.
Computer vision allows machines to accurately identify and classify objects using digital images from cameras, videos and advanced algorithm for situation analysis and early danger detection to alert users of various events scenario.
Our Specialist Diploma programs and short courses offer well structured, rigorous learning platforms for anyone who needs to apply essential Data Analytics skills in their current job, and prepare to enter a career in Data Science.
Data Analytics Skills Series
Critical Skillsets in Data Science include data visualization, quantitative strategies for data analysis, predictive modelling and risk evaluation, computational strategies to simulate system behavior and building software agents to learn, improve, adapt and produce desired outcomes or task.
Specialist Diploma in Data Science
Not One but Four!
We offer four Specialist diplomas in Data Science that are designed to first equip students with fundamental of statistics and programming skills before advancing to modules that deepen data skills that span across the Data Science pipeline like AI, Big Data, Data Analytics etc.