It is becoming clear by the day that there is enormous value in data processing and analysis – and that is where a data scientist steps into the spotlight. Executives have heard of how data science is a sexy industry, and how data scientists are like modern-day superheroes, but most are still unaware of the value a data scientist holds in an organisation. Whether you have never worked with Data Science before, already know the basics of Python, or want to learn the advanced features of Pandas Time Series with Python, this bootcamp is for you! 

The rise of big data reflects the growing awareness of the ‘power’ behind data, and of the need to enhance gathering, exploitation, sharing and analysing the data. Analytics applications will ensure the proper exploitation of the proliferating volumes of data for a variety of business purposes, involving not only the production of simple data-driven insights on operations but also a prediction of future trends and events. Furthermore, it leads to new opportunities moving ahead, more effective operations, high profits and satisfied customers.

AI is a wide-ranging tool that enables people to rethink how we integrate information, analyse data, and use the resulting insights to improve decision making - and already it is transforming every walk of life. 

AI is going to change the future. Make sure that you aren't left behind.

This module delves into the elements of governance, risk, and compliance for participants to understand and apply in their workplaces. This will also enable participants to improve standards of risk and compliance through innovative approaches and enhance processes to comply with increasing regulations.

The ease of designing robots and the avoidance of making deep system changes through integration has made RPA deployment much faster. Yet despite this, organisations seem to struggle with the time it takes to identify use cases and translate them into deployable software robots. One major reason for those struggles is that most organisations fail to make the necessary structural changes to support rapid RPA deployment. Organisations still prefer to work in archaic silo structures, which conflicts with the agility required to support faster RPA deployments.

The awareness to become digital-ready has grown in nearly all industries. But the step from awareness to execution is a big one. Despite a general understanding of the importance of digitisation, and despite first steps such as the setup of digital think tanks or reporting lines many organisations lack the basis for successful execution: the organisational readiness based on leadership capabilities, distinct strategy and feasible goals.

This Tech Lab is an add-on to the Core Module to help companies/ organisations with their project initiatives specific to RPA implementations.

The digital revolution has begun. Robotic Process Automation (RPA) has already started to impact all manner of industries. RPA is best described as specially-configured software designed to complete tasks that would otherwise have to be completed by a human. Very soon, we will have to come to terms with the reality of far more non-human workers in our offices and the way we work fundamentally changing to accommodate them.

Are you ready for the RPA revolution?

As great as the opportunities are for RPA, practical application of the technology in banking, insurance, health care and manufacturing suggests that most companies do not do a great job of socialising RPA adequately among constituencies before launching their RPA initiatives. Before embarking on the RPA journey, leaders should assess the business landscape and the interests of key stakeholders, their current and desired states of operation, their existing talent pool and other resources and senior executive willingness to truly sponsor the combination of human and virtual labour.

There’s no one-size-fits-all approach when it comes to implementing RPA. Each automation rollout needs to be adjusted to a company’s organisational setting and requires thorough planning. Another essential element involves designing an appropriate operating model. The earlier an organisation-wide operating model is defined, the higher the likelihood of RPA’s benefits being realised sooner. Being proactive in delineating an RPA operating model involves the translation of a strategic automation plan into operating requirements and decisions.

Comprising the Advanced Certificate in Data Protection Operational Excellence and Advanced Certificate in Data Protection Principles, this Industry Graduate Diploma programme provides a detailed introduction to the PDPA, data protection principles in Asian countries and the EU General Data Protection Regulation (GDPR), and a full overview regarding how