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Future-proof your team with digital upskilling.

AI and digital academy

digital-academy

Digital advancements are transforming how we operate. Equip yourself with the right tools and mindsets to fast-track digital impact in your organisation. Discover cloud security, data analytics, data visualisation, and more with our experienced professionals.

Our programmes

Cloud security assessment and auditing

As businesses transition their IT infrastructure to the cloud, they look for cost efficiency and scalability. But there's a common misconception: security isn't solely the responsibility of the Cloud Service Provider (CSP). This misunderstanding can lead to security breaches, often due to customer oversights. To mitigate these risks, organisations need to understand the different cloud deployment models, assess the risks each poses, and implement strong controls to protect their data and operations.

Objectives

The course offers a clear understanding of cloud architecture and deployment models. Participants will explore the benefits of each and gain insights into the security challenges businesses encounter when moving their services to the cloud.

Outcomes

By the end of this course, participants will gain essential insights and practical tips on cloud fundamentals, including:

Identifying the cloud's main components and unique features

  • Understanding the business benefits of cloud adoption

  • Recognising security and non-security risks of cloud use

  • Grasping core auditing methods for cloud environments.

Agenda/topics covered?
  • What is cloud computing
  • History and evolution of cloud
  • Core services: compute, storage, network, database
  • Why businesses are moving to the cloud
  • Key characteristics: on-demand, elasticity, pay-per-use, resource pooling, network access
  • Cloud concepts: on-premises vs. cloud, virtual resource, availability zones vs. regions vs. edge locations
  • Cloud categories: public, private, hybrid, community
  • Delivery models*: SaaS, PaaS, IaaS, business process cloud
  • Design principles: resilience and failure recovery
  • Scalability: vertical vs. horizontal, stateless vs. stateful components, distributed processing
  • Disposable resources: bootstrapping, golden images, containers
  • Loose coupling and redundancy: eliminating single points of failure
  • Automation: serverless management, deployment, alarms, and events
  • Built-in security: defense in depth, shared responsibility model, identity and access management, real-time auditing, security as code

SaaS: Software as a Service
PaaS: Platform as a Service
IaaS: Infrastructure as a Service

Other architectural considerations
  • Cost optimisation
  • High performance
  • Cloud threats and mitigation strategies
  • Shared responsibility model 
  • Customer responsibilities and secure cloud case studies
  • Cloud audit: 
    • Value and tactics
    • Cloud management audit 
    • Assurance programme
    • SOC 2 compliance
  • Key takeaways from both training sessions

 

Duration

2 days

Delivery mode

Classroom

Target audience

IT, risk management and compliance/ internal audit executives and above

Content creation

All of us create content in our work—whether through emails, messaging platforms like WhatsApp or MS Teams, or formal documents. This course builds awareness of what content curation and creation really mean, and how to communicate data and information more effectively and impactfully.

Objectives

  • Understand the importance of content curation and creation, and how they add value to the business

  • Learn the curation framework and the content creation process

  • Apply practical techniques to curate, create, and communicate content effectively using digital media tools

Outcomes

By the end of this course, participants will understand the principles of content curation and creation, empowering them to craft compelling communication  in a business setting.

Agenda/topics covered?

  • Welcome and introduction 

  • Search to curate 

  • Share and communicate 

  • Your turn to create! 

Duration

4 hours

Delivery mode

Classroom/Virtual

Target audience

Executives, assistant managers, non-executives, clerical and support staff

Data analytics basics series: Part 1 data basics (eLearn)

This e‑learn module offers a clear introduction to what data is, why it matters, and how it shapes day‑to‑day work and decision‑making.  

As part of the data analytics basics series, this module provides a strong starting point for anyone looking to embark on a data analytics journey, covering the essential concepts and foundational skills needed to work with data in a more rigorous and informed way.

Objectives

The module aims to equip learners with a basic understanding of data, including its role and relevance in their day-to-day work. 

Outcomes

At the end of the module, learners will be able to: 

  • Understand data information and literacy

  • Identify the basic characteristics of big data

  • Identify the different types and levels of data management and maturity

Agenda/topics covered?

  • New world. New skills

  • Data analytics from our lens

  • Data structure 

  • 5Vs of big data

  • Data management

  • Data maturity

Duration

1 hour

Target audience

Organisation-wide

Data analytics basics series: Part 2 data preparation (eLearn)

This e‑learn module introduces the fundamentals of preparing data for analysis, with hands-on exercises in data extraction, cleansing, transformation, and loading. 

As part of the data analytics basics series, this module provides a strong starting point for anyone looking to embark on a data analytics journey, covering the essential concepts and foundational skills needed to work with data in a more rigorous and informed way.

Objectives
  • The e-learn introduces the extract, transform, and load process and explains why effective data preparation matters.
Outcomes

At the end of the module, learners will be able to prepare, extract, cleanse, transform, and load simple data.

Agenda/topics covered?

  • Introduction to data preparation

  • Why you need to prepare data

  • Data preparation tools

  • Hands on exercise using a data preparation tool (Alteryx) 

Duration

2.5 hours

Target audience

Organisation-wide

Data analytics basics series: Part 3 data visualisation (eLearn)

This e‑learn module provides a foundational understanding of data visualisation, complemented by hands-on exercises.

As part of the data analytics basics series, this module provides a strong starting point for anyone looking to embark on a data analytics journey, covering the essential concepts and foundational skills needed to work with data in a more rigorous and informed way.

Objectives
  • The module aims to equip learners with the ability to effectively communicate data and insights through data visualisation and storytelling.  
Outcomes

At the end of the module, learners will be able to: 

  • Understand the importance of data visualisation and storytelling for communicating insights
  • Use selected tools to tell a coherent story with data 
  • Apply data visualisation best practices via a use case 
Agenda/topics covered?
  • Introduction to data visualisation
  • Why do you need data visualisation?
  • Data visualisation tools
  • Using Power BI

Duration

2.5 hours

Target audience

Organisation-wide

Data analytics for leaders

This half-day programme equips leaders with a clear understanding of why data matters, how data analytics can be applied in decision-making, and the implications of reviewing and interpreting data effectively.

Objectives

  • Understand the strategic importance of data in decision-making

  • Gain a better understanding of data analytics

  • Learn the basics of data review and quality implications

  • Inspire leaders to champion digital innovation within their teams

Outcomes

At the end of the course, participants will be able to:

  • Grasp the significance of data and the transformative power of analytics

  • Identify the key elements of data review and quality implications.

  • Inspire leaders to champion digital innovation within their teams

Agenda/topics covered?

  • Our new normal

  • The power of data analytics

  • Data preparation: co-create and review

  • Data visualisation: co-create and review 

  • Digital ideas sharing by a PwC partner

Duration

4 hours

Delivery mode

Classroom/ virtual

Target audience

Manager, senior manager and above

Data analysis using Excel

This course offers a thorough grasp of Excel's essential features and functions. Participants will gain hands-on skills to use Excel effectively for data analysis in real-world business situations.

Objectives

  • Familiarise participants with the core features and functionalities of Microsoft Excel

  • Enable effective use of Excel formulas for data analysis and manipulation

  • Develop skills to create and manage tables and pivot tables for efficient data organisation and analysis

  • Introduce foundational knowledge of Excel Macros for automation

  • Engage participants in a practical data challenge to apply learned concepts in real-world scenarios

Outcomes

By the end of the course, participants will:

  • Gain proficiency in Excel’s core functionalities and advanced features for effective data analysis and manipulation
  • Develop skills in using formulas, managing tables and pivot tables, and automating tasks with Excel Macros
Agenda/topics covered?

  • Introduction to Excel features

  • Layout and shortcuts

  • Advanced formulas and functions

  • Formulas for data cleaning 

  • Logic formulas 

  • Advanced formulas for calculation

  • Date and time functions

  • Lookup functions  

  • Nested functions and formulas

  • Functions and formulas for data analysis

  • Data validation

  • Conditional formatting 

  • Working with tables

  • Tables and pivot tables

  • Custom calculation in pivot tables

  • Slicers and timelines 

  • Excel macros

  • Recording and editing macros

  • Applying macros to data manipulation

  • Automating repetitive tasks 

  • Data challenge

Duration

16 hours

Target audience

Business analysis, data entry and management, administrative staff, accountants, financial analysts, and individuals looking to enhance their Excel skills

Data literacy

This course builds awareness of the value of information and data literacy. Learners will explore practical applications for handling data, understand its business value, and learn effective methods for data analysis. They will also gain hands-on experience in data analytics and visualisation using specialised software designed for real-world business scenarios.

Objectives

Explain the concepts of data information and data literacy

Understand the characteristics of Big Data

Identify different types of data (public and private) and their uses

Explore tools available for data analysis

Understand the Extract, Transform, and Load (ETL) process and its impact on workflows

Use Microsoft Power Query to extract, cleanse, and transform data

Outcomes

Perform simple data extraction, data cleansing, and data transformation to derive valuable insights.

Agenda/topics covered?

  • Introduction to Big Data

  • Types of data and data sourcing

  • Overview of data analysis tools

  • Hands-on exercise 

  • Introduction to Extract, Transform, and Load (ETL) in the data flow process

  • Practical exercise: extract, cleanse, and transform data using Microsoft Power Query

  • Presentation challenge: extract and evaluate information to present insights

Duration

4 hours

Target audience

Organisation-wide

Data storytelling




This course introduces the fundamentals of data storytelling. It equips learners with tools to apply storytelling techniques with clarity and data fluency.

Explore basic storytelling techniques and learn how to transform concepts into actionable insights.

Objectives

  • Adopt a storytelling mindset to communicate data effectively in a business context

  • Apply storytelling techniques to deliver impactful business presentations

  • Design visually compelling data stories that follow principles of good design

  • Identify and select the most appropriate chart types for different datasets

  • Create clear, engaging data narratives that capture audience attention on key issues

  • Interpret data visuals across posters, dashboards, and presentation slides

Outcomes

At the end of the course, participants will be able to:

  • Understand how to use storytelling with data to communicate insights effectively

  • Design compelling data visuals

  • Select appropriate chart types for different datasets

  • Strengthen Enhance data interpretation and presentation skills through practical exercises

Agenda/topics covered?

  • Introduction to data storytelling

  • Why data storytelling is important

  • to businesses

  • The basics of storytelling

  • Introduction to data storytelling

  • Concepts in data storytelling

  • Design principles to communicate visually

  • Turning concepts into action

  • Generating visuals for data storytelling

  • Translating data into stories

Hands-on exercises:

  • Data storytelling challenge and clinics

  • Show & Tell: present data in a narrative format

Duration

8 Hours

Delivery mode

Classroom/ virtual

Target audience

Business and data analysts, business intelligence (BI) professionals, marketers, product managers, and individuals aiming to improve data presentation and storytelling skills.

Data visualization with Excel

This course empowers participants to use existing data to create business insights through Excel's data visualisation capabilities. They will gain practical skills to turn raw data into clear, impactful visuals that drive decision-making in today's data-driven world. 

Objectives

A. Data 

  • Understand the characteristics of Big Data

  • Perform basic data analysis using the Extract, Transform, and Load (ETL) process

  • Gain awareness of available tools for data analysis

B. Data visualisation

  • Understand the importance of data visualisation and explore available tools

  • Engage with data visualisation

  • Craft a narrative with data using available tools

  • Apply best practices to real-world use cases

Outcomes

Create clear and simple visualisations using data tools to communicate insights effectively.

Agenda/topics covered?

  • Introduction to Big Data

  • Introduction to data visualisation and visualisation tools

  • Why impactful data visualisation matters and how to integrate it into daily work

  • Telling stories through data

  • Data visualisation best practices

  • Hands-on exercise

  • Step-by-step data visualisation using Microsoft Excel

  • Creating insights from data

  • Visualisation challenge: design an engaging visual (e.g., infographic) using tools such as Microsoft Excel and Canva, and present your work

Duration

4 hours

Delivery mode

Classroom/Virtual

Target audience

Organisation-wide

Delivering digital strategy through enterprise architecture


How can businesses craft a digital strategy that truly delivers results? The answer lies in a capability-driven enterprise architecture. This approach enables organisations to zero in on the business capabilities that need to be enhanced, and identifies the digital capabilities required to support and scale them.

Objectives

This course aims to develop an understanding of digital strategy and its interconnection with enterprise architecture. Participants will learn how to leverage enterprise architecture to enhance digital capabilities.

Outcomes

Gain a practical understanding of the approach to crafting a digital strategy and how it can be developed by integrating enterprise architecture practices.

Agenda/topics covered?

  • Understanding your current digital capabilities

  • Building digital capabilities through enterprise architecture

  • Key steps to developing your digital capabilities

  • Challenges and common pitfalls 

Duration

1 day

Delivery mode

Classroom/Virtual

Target audience

Department/division heads, heads of enterprise architecture, chief information officers (CIOs), chief technology officers (CTOs), chief digital officers (CDOs)

Delivering successful programme transformation - What you need to look out for in a large scale IT implementation?

Large-scale IT implementations often face common challenges: poor estimates, scope changes, and unclear goals continue to be among the top reasons projects overrun—issues highlighted in PwC’s Global Portfolio and Programme Management (PPM) Surveys.

This one-day course combines hands-on learning and case studies to explore what organisations can do differently to improve programme transformation success. Participants will gain practical insights into managing complexity and mitigating risks in high-impact IT projects.

Objectives

This course provides participants with a clear understanding of the importance of project management, its value to the organisation, and the key success factors for delivering programme transformation—while highlighting common pitfalls.

Outcomes

By the end of the course, participants will:

  • Understand the importance of project management and its organisational impact

  • Apply strategies to maintain project health through effective stakeholder engagement and managing interdependencies

  • Gain practical knowledge to guide projects from initiation to closure using digital project management tools and templates

  • Learn how to close projects effectively and extract lessons from challenges

Agenda/topics covered

  • Project management key concepts and methodology

  • Project governance

  • Digital tools and templates

  • Project success factors and lessons learnt

  • The 5 project phases and getting started

  • Planning your project

  • Project execution, monitoring and control

  • Communication and stakeholder management

  • Project closure

Duration

1 day

Delivery mode

Classroom/Virtual

Target audience

Programme/project management office team, c-suite, head of departments/divisions, programme workstream leads, business and technical leads, and users.

Digital academy

The Digital Academy combines classroom learning with practical application of data analytics skills. Its highlight is an innovation sprint, offering participants the opportunity to apply new skills to actual use case at work, guided by experienced practitioners. The sprint concludes with a “shark tank”-style pitch to business unit leaders.

Objectives

  • Data preparation

    • Utilise the core features of the platform for business data analysis through a series of lab exercises using various sample datasets
  • Data visualisation
    • Create and customise simple visuals to present data in a compelling and insightful way  compellingly
Outcomes

Learners will be equipped to apply data preparation and visualisation techniques to a live project within their workplace.

Agenda/topics covered?

  • Data preparation

    • Introduction 
    • Basic functions
    • Cleaning and transforming data
    • Hands-on exercise
  • Data visualisation
    • Introduction
    • Basic functions
    • Getting data to transform
    • Modelling data
    • Using visuals

 

 

 

 

 

Duration

6.2 days

Delivery mode

Virtual

Target audience

Organisation-wide - learners with an interest to use data analytics at work

Digital day / week

Embark on a physical or virtual treasure hunt, gamified to spark curiosity and raise organisation-wide awareness of digital tools and technologies. Participants will explore, experience, and engage with digital tools.

Objectives

Create awareness of efficient data tool usage and highlight how innovation can generate sustainable value from data.

Outcomes

Employees will improve their digital awareness and be more interested to explore more digital tools & technologies

Agenda/topics covered?

Experiences will be tailored to the audience and will include, but are not limited to:

  • Tools showcase

  • Innovation spotlight

  • Panel discussions

  • Tools exploration (lite) workshop 

  • Digital experience

Duration

8 hours

Delivery mode

Classroom/Virtual

Target audience

Organisation-wide

Enterprise architecture fundamentals

Today's business landscape is defined by growing complexity. Digital business strategies have become a central focus for senior executives, and a key concern for CIOs and IT organisations. These leaders face the challenge of creating IT organisations that are agile, focused on innovation, and driven by business outcomes. 

Enterprise Architecture (EA) is crucial in shaping digital business strategy. A business-outcome-driven EA focuses on enabling organisations to embrace change and seize new opportunities with innovative technologies.

Objectives

  • Understand the concept of Enterprise Architecture across its four key domains: business, data, application, and technology

  • Learn to connect EA with business and IT strategy effectively

Outcomes

  • Understand the advantages that EA brings to organisations

  • Recognise the importance of collaboration between business and IT

Agenda/topics covered?

  • What is Enterprise Architecture?

  • Key areas of architecture domains and highlights of each within BDAT (business, data, application, technology)

  • Conducting an EA maturity assessment: what to look for

  • Business and technology capabilities 

Duration

0.5 - 1 day

Delivery mode

Classroom/Virtual

Target audience

Department/division heads, heads of enterprise architecture, chief information officers (CIOs), chief technology officers (CTOs), chief digital officers (CDOs)

Ideation sprint

Harnessing design thinking principles, this facilitated session is dedicated to crowdsource innovative ideas on critical issues. Participants will collaborate to develop and effectively communicate these ideas to stakeholders.

Objectives
  • Acquire the skills to identify and refine significant problem statements

  • Develop innovative solutions using design thinking principles

  • Communicate and pitch ideas effectively to advance the organisation’s digital transformation journey

Outcomes

By the end of the course, participants will have created an idea bank that can be harnessed in their organisation’s digital transformation initiatives.

Agenda/topics covered?

  • Identifying the problem statement (pre-session)

  • Refining the problem statement 

  • Brainstorming, evaluating and selection

  • Refining ideas 

  • Pitching ideas 

Duration

6 hours

Delivery mode

Virtual

Target audience

Business leaders, managers, product managers, cross-functional team members

Inside the world of automation - Introduction to intelligent automation

Automation is a strategic imperative in today’s fast-changing business environment. Organisations face mounting pressure to deliver more with fewer resources, streamline operations, and stay competitive in a digital-first economy.

Intelligent automation is at the heart of this transformation, driving efficiency, reducing costs, and enabling innovation at scale.

This course provides the knowledge and practical exposure needed to understand automation’s role in shaping the future of work and to develop skills that position professionals at the forefront of this change.

Objectives

  • Introduce the concept of intelligent automation and its role in business

  • Explore how organisations are embedding automation into future ways of working

  • Experience hands-on interaction with automation technologies

Outcomes

Participants will gain a clear understanding of intelligent automation, the leading technology platforms available in the market, and practical insights into applying automation within the organisation. 

Agenda/Topics covered

  • What is intelligent automation?

  • Who are the automation providers in the market?

  • What are the top-tier products and solutions available in the market?

  • How are organisations embedding and leveraging automation for operational excellence?

  • Hands-on citizen-led development

Duration

1 day

Delivery mode

Classroom/Virtual

Target audience

  • Heads of department (e.g., finance, HR, procurement)

  • IT, digital, and technology teams

  • Operations and excellence teams

  • Business process improvement teams 

  • Shared services teams

Intro to robotic process automation

Robotic Process Automation (RPA) is transforming how repetitive tasks are handled, driving efficiency, and reducing operational costs across industries. This course helps you kickstart your RPA journey, helping you understand the fundamentals of RPA, how it is being applied, what automation tools to consider for your business, and the potential value it brings to you and your team.

Objectives

  • Navigate the basic functions and features of UiPath Studio

  • Understand the key principles of bot development in UiPath Studio

  • Gain hands-on experience in building a simple bot

Outcomes

By the end of the course, participants will be able to develop a simple, low-complexity bot using UiPath Studio.

Agenda/topics covered

  • Recap of RPA: characteristics, benefits, challenges, and risks

  • The RPA landscape and how it’s transforming business

  • Introduction to UiPath Studio for bot development

  • UiPath Studio interface and basic functions

  • Hands-on exercise: building a low-complexity bot

Duration

4 hours

Delivery mode

Classroom/Virtual

Target audience

Organisation-wide

IR 5.0 and essential 8 technologies

Digital transformation is accelerating, and the convergence of the Fourth Industrial Revolution (IR 4.0) and emerging technologies is reshaping business models at unprecedented speed. The “Essential 8” technologies—ranging from AI and robotics to blockchain and IoT—are no longer future trends; they are a differentiator. 

This course explores how these technologies are converging, the impact they have on industries, and the mindset required to overcome barriers to adoption.

Objectives
  • Understand the main concept of IR 4.0

  • Gain awareness of emerging technology trends

  • Explore how IR 4.0 and emerging technologies converge to shape business transformation

Outcomes

By the end of the course, participants will be able to:

  • Describe the mindset needed to overcome barriers to adopting digital skills

  • Explain what IR 4.0 is and its significance

  • Identify current and emerging technology trends

  • Recognise the digital skills and agility required to adapt to IR 4.0 and future technologies

Agenda/topics covered

  • What is the Fourth Industrial Revolution (IR 4.0)?

  • What drives IR 4.0?

  • Key current and emerging technology trends

  • Thriving through IR 4.0 with agility

  • Adopting a mindset shift to prepare for the future

Duration

4 hours

Delivery mode

Classroom/Virtual

Target audience

Organisation-wide

Leading digital business transformation

Organisations need leaders who can navigate digital disruption, anticipate change, and drive transformation with confidence.

This programme provides a structured approach to digital leadership, equipping participants with the tools, frameworks, and the mindset required to lead effectively in an era of constant innovation and evolving business demands.

Objectives

  • Instill digital mindsets, skills, and capabilities to lead effectively in the digital age

  • Explore the application of digital leadership through real-world case studies

  • Learn strategies to mitigate risks with agile decision-making

  • Understand the value of design thinking in marketing and its impact on business

  • Discover how to assemble and lead cross-functional teams to deliver value in a fast-changing environment

Outcomes

Leaders will be equipped to drive digital transformation across the business with confidence and clarity.

Agenda/topics covered

  • Digital transformation explained

  • Everyday innovation

  • Data-driven business

  • Business agility

  • Digital transformation: Next steps

Duration

3 days

Delivery mode

Classroom/Virtual

Target audience

Manager, senior manager and above

Learning data governance

Data is the new gold—and its true value lies in robust governance. Organisations are increasingly recognising data governance as fundamental to building trust and enabling informed decision-making. Poor governance can lead to compromised data quality. Effective data management ensures data is fit for purpose, governed by strong processes, and underpinned by the right systems. Achieving success relies on practices focusing on people, process embedment, and systems support to unleash the full potential of data.

Objectives
  • Gain a clear understanding of data governance across people, process, and technology dimensions
  • Explore key areas including data strategy, governance, quality, architecture, metadata management, master data management, and data tools
Outcomes

By the end of the course, participants will:

  • Understand and gain practical tips on how data should be managed, and how governance operates within an organisation
  • Learn to set up a data quality management programme
Agenda/topics covered

  • Introduction to data management

  • Data strategy: Key features for building an effective data strategy

  • Data governance: Concepts, principles, and structures to sustain effective data management

  • Data quality: Practices to build trust and confidence in data

Duration

1 day

Delivery mode

Classroom

Target audience

IT, Finance, Reporting function, Risk, Compliance, Internal Audit, executives to senior management who already have prior exposure to management reporting

Process discovery workshop

This workshop focuses on identifying, analysing, and prioritising business processes to uncover improvement opportunities and evaluate their potential for automation. 

Objectives

  • Understand current business processes, stakeholders, and technologies used to execute them

  • Identify process gaps and friction points

  • Pinpoint areas for improvement to achieve efficiency and potential cost reduction

  • Assess and prioritise automation opportunities

  • Measure process performance using relevant metrics

Outcomes

By the end of the course, participants will be able to:

  • Develop a process map that clearly illustrates workflow

  • Identify opportunities to improve and streamline existing processes

Agenda/topics covered?

  • Introduction to process discovery

  • Process overview and walkthrough

  • Mapping the current business process

  • Assessing the current process 

  • Developing a future process

  • Measuring process performance and success

Duration

2 days

Delivery mode

Classroom

Target audience

Managers, project managers, business process owners

Understanding digital marketing

Digital marketing has transitioned from a niche to a fundamental driver of business growth. 

This course examines current digital marketing trends and the evolving landscape, covering fundamentals such as defining business objectives and identifying target audiences, crafting content strategies, planning campaigns, and mapping customer journeys. Participants will also explore analytics to develop a comprehensive digital marketing strategy that delivers measurable results.

Objectives

  • Define clear business objectives for digital marketing initiatives

  • Understand how to identify and analyse target audiences for an effective digital strategy

Outcomes

By the end of the course, participants will:

  • Understand the customer journey and key touchpoints across various digital channels

  • Learn how to develop, plan, and manage content across multiple digital platforms

Agenda/topics covered?

  • Identifying business objectives

  • Building SMART objectives

  • Knowing your target audience digitally

  • Creating target personas 

  • Developing consumer empathy maps

  • Building customer journeys

  • Understanding audience touchpoints

  • Content strategy and planning 

  • Understanding core content

  • Content distribution models

  • Creating content calendars and using content management tools

Duration

4 hours

Delivery mode

Virtual

Target audience

Managers, project managers, marketing and digital strategy professionals, content managers, brand managers, business owners

Data analytics foundation

Data stands as one of the most valuable assets in today’s business landscape, yet its true potential hinges on understanding and application. This course provides a solid foundation in data literacy and analytics, exploring the value of data, the Extract, Transform, and Load (ETL) process, data visualisation techniques, and the practical application of analytics skills to real-world scenarios.

Objectives

  • Explain the concepts of data, information, and data literacy

  • Understand the characteristics of Big Data

  • Identify different types of data and explore the tools available for data analysis

  • Understand the Extract, Transform, and Load (ETL) process and its impact on workflows

  • Use Microsoft Power Query and Power BI to extract, cleanse, transform, and visualise data

  • Recognise the importance of data visualisation and explore available tools

  • Build impactful visuals that communicate insights effectively

  • Tell a story with data using appropriate tools

  • Apply best practices to use cases
Outcomes

Participants will be able to perform basic data extraction, cleansing, and transformation to generate actionable insights.

  • Agenda/topics covered
  • Introduction to Big Data
  • Types of data and data sourcing
  • Quick overview of data analysis tools
  • Data basics:
    • Understand the characteristics of Big Data
    • Identify the available tools for data analysis
  •  Data preparation:
    • Perform basic data analysis via the Extract, Transform, and Load (ETL) process
    • Hands-on exercise
  •  Data visualisation
    •  Introduction to data visualisation and visualisation tools
    • Understand the importance of impactful data visualisation and how it can be incorporated into day-to-day work
    • What story can be told from the data
    • Best practices for data visualisation
    • Hands-on exercise
    • Data visualisation challenge: Creating insights

 

Duration

1 day

Delivery mode

Classroom

Data analytics with Power BI: Data visualisation

Power BI is transforming how organisations turn data into actionable insights. This introductory course provides a practical starting point for using Power BI—covering its core features, capabilities, and the steps to build a dashboard. Participants will engage in hands-on exercises, from appending data to curating dashboards tailored to stakeholder needs.

Objectives

By the end of the course, participants will be able to create and customise simple visuals in Power BI to present data in compelling and insightful ways.

Outcomes

  • Understand what Power BI is and how to use its core functions and features to transform and visualise data

  • Practice connecting single and multiple data sources, shaping data with queries, and building ready-to-use dashboards

Agenda/topics covered

  • Data extract
    • Extract multiple files from CSV or Excel
  • Data transformation
    • Identify data health and types of error
    • Handle errors in Power Query
    • Understand data types and how to convert them
    • Split data into different columns
    • Apply if/else logic in Power BI
  • Data modeling
    • Introduction to data modeling
    • Manage data relationships
    • Explore time-based data
  • Data analysis
    • Use Count, Count If, and Count Distinct
    • Perform simple calculations in Power Query
    • Calculate across multiple tables
  • Data visualisation
    • Power BI canvas layout
    • Create text elements
    • Create simple visuals
    • Add tooltips
    • Add slicers
    • Change the look and feel

Duration

2 days

Delivery mode

Classroom

Module 1: Introduction to data and analytics

This module explores the benefits of implementing data analytics and introduces the end‑to‑end process for applying analytics to manage organisational risks.

Objectives

  • Understand the core concepts of data analytics and data literacy, and their relevance within risk management

  • Identify the basic characteristics of Big Data and the different types of data (public, private, structured, unstructured), including the definition of each

  • Explain the Extract, Transform, and Load (ETL) process and how it works in Power BI

  • Explain the key features and limitations of Power BI

Outcomes

By the end of the course, participants will be able to:

  • Understand how data analytics supports day‑to‑day risk management activities

  • Identify operational tasks that are suitable for data analytics applications

Agenda/topics covered

  • Pre‑course work

  • Watch videos related to data analytics, Excel, and Power BI

  • Complete the pre‑course knowledge assessment

  • Introduction and expectations

  • Set expectations to build motivation and interest in the topic

  • Introduction to Big Data and data analytics

  • Principles of Big Data

  • How Big Data and data analytics interrelate

  • Data analytics for risk management

  • Use case: How a risk practitioner applies data analytics in day‑to‑day work

  • Data analytics tools

  • Data transformation and visualisation tools

  • Power BI features and limitations

Duration

4 hours

Delivery mode

Classroom

Module 2: Power BI hands-on

This module focuses on the Extract, Transform, and Load (ETL) process using Power BI, offering practical exposure to preparing and shaping data for analysis.

Objectives

  • Perform data extraction and transformation using Microsoft Power Query to import, cleanse, filter, and transform data

  • Conduct data analysis, including pivot tables, charts, and basic statistical analytics (mean, median, mode)

  • Load data into Microsoft Power BI and visualise it in the form of a dashboard

Outcomes

By the end of the module, participants will be able to apply the ETL process in their day‑to‑day work.

Agenda/topics covered
  • Data extract
    • Extract multiple files from CSV or Excel
  • Data transformation
    • Identify data health and types of error
    • Handle errors in Power Query
    • Understand data types and how to convert them
    • Split data into different columns
    • Apply If/Else logic in Power BI
    • Manage data relationships
    • Apply data grouping
  • Data analysis
    • Use Count, Count If, and Count Distinct
    • Perform simple calculations in Power Query
    • Calculate across multiple tables
  • Data visualisation
    • Power BI canvas layout
    • Create text elements
    • Create simple visuals
    • Add Tooltips
    • Add slicers
    • Change the look and feel

Duration

1 day

Delivery mode

Classroom

Module 3: Case study - Managing risk with data analytics

This module offers a half-day, hands-on exercise where participants apply the Extract, Transform, and Load (ETL) process using Power BI, working with a use case dataset. The session integrates concepts from previous modules, showcasing the application of data analytics in supporting risk management decisions.

Objectives

In this module, learners will challenge themselves to build their own dashboard, applying the steps learnt from Module 2.

Outcomes

By the end of this course, participants will be able to create and customise simple visuals in Power BI to present data in compelling and insightful ways.

Agenda/topics covered
  • Data challenge brief (case study)
    • Participants receive a set of guided steps and translate them into Power BI
  • Clinic session
    • A 30‑minute Q&A with the facilitator to address questions and solve the data challenge
  •  Sharing session
    • In breakout groups, participants share their approach to solving the challenge
    • Facilitators provide feedback and suggestions for improving on the solution
  • Q&A session
    • Open forum for final questions and clarifications

Duration

4 hours

Delivery mode

Classroom

Data storytelling – 2 days

This two‑day workshop builds a foundation in data storytelling by introducing key concepts, frameworks, and the role of narrative in driving business value and impact. Learners explore how to transform data into insightful stories and put these techniques into practice through guided activities and hands‑on application.

Objectives

  • Adopt a storytelling mindset to transform data into compelling business narratives

  • Master storytelling techniques for impactful business presentations and communication

  • Design data visualisations that follow good design principles

  • Apply key frameworks to structure data stories from context‑setting to actionable solutions

Outcomes

By the end of this course, participants will be able to:

  • Identify and select appropriate chart types for any given dataset to maximise clarity and impact

  • Create engaging data stories that capture audience attention and highlight critical insights

  • Deliver comprehensive data narratives that guide stakeholders from problem identification to actionable resolutions

Agenda/topics covered
  • Foundations of data storytelling
    • What data storytelling is and how it empowers business stakeholders
  • Introduction to the Know‑Aim‑Frame (KAF) storytelling framework
    • Identify the three key components of effective data storytelling
  • Know — understanding your audience
    • Identify audience needs using tailored, user‑centric messages
    • Apply social styles to evoke emotional engagement and drive action
  • Aim — craft relevant narratives and visuals
    • Identify and determine key charts and graphs for effective communication
  • Frame — structuring your narrative
    • Apply proven storytelling frameworks such as the storytelling arc and the SCQR framework
  • Data storytelling challenge
    • Learner‑led group session to apply data storytelling concepts
    • Show‑and‑tell presentations with peer and facilitator feedback

Duration

2 days

Delivery mode

Classroom

Data storytelling – 0.5 day

This workshop introduces the core principles of data storytelling, including key concepts, frameworks, and the role of narrative in delivering business value and impact. Learners explore how to transform data into clear, insightful stories and apply foundational techniques through guided practice.

Objectives

  • Adopt a storytelling mindset to transform data into compelling business narratives

  • Master foundational storytelling techniques for impactful business presentations and communication

  • Design data visualisations that follow good design principles

  • Apply key frameworks to structure data stories from context‑setting to actionable solutions

Outcomes

By the end of this course, participants will be able to:

  • Identify and select appropriate chart types for any given dataset to maximise clarity and impact

  • Create engaging data stories that capture audience attention and highlight critical insights

  • Deliver concise data narratives that guide stakeholders from problem identification to actionable resolution

Agenda/topics covered
  • Foundations of data storytelling
    • What data storytelling is and how it empowers business stakeholders
  • Introduction to the Know‑Aim‑Frame (KAF) storytelling framework
    • The three key components of effective data storytelling
  • Know — understanding your audience
    • Identify audience needs using tailored, user‑centric messages and social styles
  • Aim — crafting relevant narratives and visuals
    • Tips on selecting key charts and graphs for effective communication
  • Frame — structuring your narrative
    • Apply proven storytelling frameworks such as the storytelling arc and the SCQR framework

Duration

4 hours

Delivery mode

Classroom

Bionic manager: Becoming your best AI manager

AI has transcended mere task automation; it's about the synergy between humans and technology unlocking new performance potential. As Steve Jobs once said, “Innovation distinguishes between a leader and a follower,” highlighting the need for leaders who leverage AI with intention, curiosity, and strategic vision.

This programme equips leaders with practical tools, frameworks, and hands-on experience to evolve into forward-thinking, AI-empowered managers. It explores the transformation of team structures in an AI-driven era, integration of AI in daily operations, and how leaders can enhance their impact to cultivate high-performing, adaptable teams.

Objectives

  • Adopt a human‑in‑the‑loop approach for implementing AI in organisational settings

  • Embrace a future‑ready leadership mindset that enhances—not replaces—existing skills

  • Apply practical techniques for delegating tasks to AI while maintaining quality control

  • Understand how to augment human teams with AI for predictive maintenance, resource optimisation, service enhancement, and more

  • Develop a personalised action plan for integrating AI into daily workflows and team management

Outcomes

By the end of this course, participants will be able to:

  • Apply new leadership skills and mental models that leverage human‑AI orchestration

  • Use AI responsibly and build trust in its application across the organisation

  • Conduct a personal readiness assessment for AI‑enabled leadership

  • Develop an AI and team enablement plan

Agenda/topics covered
  • Module 1: Welcome and introduction
  • Module 2: Orienting to the future
    • Leading with AI: how today’s AI revolution shapes tomorrow
    • The organisational and industry impact of AI
  • Module 3: The Bionic Manager mindset
    • Redefining leadership for the AI era
    • Industry examples of how organisations are leveraging AI
  • Module 4: Prompt engineering basics for a manager
    • Key prompt engineering techniques for teams
  • Module 5: Beat‑the‑Bot
    • Core principles of human‑in‑the‑loop for effective AI oversight, demonstrated through a Beat‑the‑Bot exercise
    • Practical case study exploration of real‑world scenarios
  • Module 6: AI‑Adaptive People Excellence (APEX) Framework
    • Critical elements of human‑AI orchestration
    • Personal AI mastery
    • AI readiness self‑assessment
    • Leading bionic teams
    • Building teams that excel with AI collaboration
    • Delegation and quality control with AI
    • Workflow redesign: decomposing workflows to identify tasks suitable for AI augmentation
  • Module 7: AI governance and ethical use of AI
    • Establishing ethical frameworks for AI decision‑making
    • Responsible AI practices illustrated through relevant case studies
  • Module 8: Build your AI plan
  • Module 9: Close

    •  

Duration

1 day

Delivery mode

Classroom

Generative AI for business professionals: 10x your work productivity

Generative AI is reshaping how work gets done, enabling professionals to achieve more, with speed and precision. This session provides an opportunity to explore how GenAI can enhance productivity through practical frameworks, proven tools, and hands-on activities tthat demonstrateits impact across everyday workflows.

Participants will gain the confidence and capability to apply GenAI effectively in their roles, emerging as AI-equipped professionals ready to navigate and thrive in the evolving workplace.

Objectives

  • Build a practical, business‑first understanding of GenAI—its capabilities, limitations, risks, and value levers—while adopting an experimentation‑driven productivity mindset

  • Master prompting fundamentals (3Cs: context, clarity, constraints) and advanced prompting strategies (multi‑shot, chain‑of‑thought, self‑checking) to produce reliable, reusable outputs

  • Enhance productivity through the application of practical GenAI‑enabled productivity techniques

  • Identify micro‑tasks within workflows that can be optimised using GenAI

Outcomes

By the end of this course, participants will be able to:

  • Prompt effectively to improve productivity

  • Decompose workflows into micro‑tasks and delegate tasks to an AI assistant

Agenda/topics covered
  • Welcome and vision setting for 10x productivity with GenAI
  • Embracing the AI era with the right mindset
  • GenAI essentials
  • Fundamentals of prompting: the 3Cs (context, clarity, constraints)
  • Advanced prompting techniques
    • Multi‑shot prompting
    • Chain‑of‑thought (CoT)
    • Other high‑impact prompting methods
  • Productivity use cases (seven use cases)
  • Choosing an LLM that is appropriate for use
  • Workflow optimisation
  • Ethics and responsible AI
  • What’s on the horizon

Duration

1 day

Delivery mode

Classroom

Prompt accelerator for business professionals

This workshop empowers professionals with practical strategies to enhance project management through Generative AI (GenAI). Participants will explore real-world GenAI applications that streamline documentation, optimise workflows, and support complex problem-solving, while preserving human oversight and accountability. The session introduces accessible GenAI tools and demonstrates their application in elevating efficiency, clarity, and decision-making within project delivery.

Objectives

  • Understand the fundamentals of GenAI and its functionalities, strengths, and limitations

  • Analyse strategies for implementing GenAI‑driven workflow optimisation, including stakeholder mapping and risk assessments

  • Evaluate techniques for enhancing team productivity through strategic AI integration while maintaining quality control

  • Create personalised action plans for deploying GenAI tools across the project lifecycle

Outcomes

By the end of this workshop, participants will be able to:

  • Demonstrate a solid understanding of GenAI and its tools within a project management context

  • Improve efficiency in project execution, collaboration, and process optimisation using GenAI‑enabled approaches

Agenda/topics covered
  • GenAI Foundations for Project Management
    • Core GenAI concepts
    • How GenAI is transforming project roles and the wider workforce
  • Prompting for High‑Quality Project Outputs
    • Fundamentals of effective prompting
    • Use‑case‑specific prompts 
  • Workflow Optimisation with GenAI
    • Improving routine tasks and reducing time drains
    • Applying GenAI to stakeholder mapping, project planning, and resource allocation
  • GenAI for Project Communication
    • Creating team briefings and automated progress updates
    • Integrating GenAI into project workflows
  • Responsible AI and Governance
    • Ethical frameworks for AI in project management
    • Risk mitigation and data privacy considerations
  • Building Your GenAI Implementation Plan
    • Crafting a personalised AI‑enabled workflow plan
    • Applying prompt engineering techniques to maximise efficiency

Duration

1 day

Delivery mode

Classroom

Certified Data Analyst with Generative AI Programme

PwC MY and Newcastle University collaboration

This comprehensive programme equips aspiring data analysts with advanced skills in data analytics and generative AI. It seamlessly combines academic depth with industry-ready application, providing an interactive learning experience that fosters both technical proficiency and practical confidence. 

Co-developed and co-delivered by Newcastle University and PwC Malaysia, the programme unites academic excellence with real-world business insights, empowering analysts to harness data and AI to deliver impactful results in the evolving digital landscape.

Objectives

  • Define business problem statements using a data‑driven mindset to identify opportunities that are worth solving

  • Build foundational data analytics competency to acquire, transform, and visualise complex datasets to uncover key trends

  • Cultivate effective data storytelling techniques to deliver clear, insight‑driven presentations and communication

  • Explore low‑code and no‑code analytics solutions, including open‑source tools that leverage generative AI

Outcomes

By the end of the programme, participants will be able to:

  • Articulate digital ideas and approaches to address key business problems

  • Prepare and visualise data to create meaningful and actionable insights

  • Utilise low‑code and no‑code approaches powered by generative AI to enhance efficiency

  • Apply programme learnings to ideate and plan a digital solution prototype for their workplace

Agenda/topics covered
  • Week 0 — Pre‑programme setup
    • Technology setup and access
    • Baseline assessments
  • Week 1
    • Introduction to data analytics
    • Expectations of a data analyst
    • Business needs analysis
  • Week 2
    • Data preparation for business efficiency
  • Week 3
    • Data visualisation for business insight
  • Week 4
    • Impactful data storytelling
  • Week 5
    • The open‑source analytics ecosystem for data analysts
  • Week 6
    • Data preparation using low‑code/no‑code tools
  • Week 7
    • Exploratory data analysis using low‑code/no‑code tools
  • Week 8
    • Generative AI with a focus on large language models (LLMs)
  • Week 9
    • Enhancing the LLM experience: retrieval‑augmented generation (RAG), multimodal inputs, and agentic modeling
  • Week 10
    • Applying data analytics back at work

Duration

5 days (0.5 day x 10 days)

Delivery mode

Virtual

Client highlight

Talent Accelerator Programme for a multinational petroleum corporation

The situation

The client needed to strengthen its talent pipeline by equipping young professionals with the knowledge, skills, and practical experience to gain a competitive edge in their careers.

How We Helped

PwC’s Academy designed a comprehensive programme focused on finance, business, and digital skills. The programme included:

  • A leadership forum

  • Data challenge

  • ESG challenge

  • Design thinking workshop

  • Business model canvas workshop

Results

  • 85% average growth in participants’ overall confidence

  • ~50% average increase in knowledge from pre- to post-course across digital skills, professional skills, and business acumen

  • 4.7 out of 5 average rating, demonstrating overall satisfaction with the learning experience

Customised data analytics training for an oil and gas company

The situation

Following a company-wide digital training, the Internal Audit team recognised a need for deeper upskilling in data visualisation—specifically tailored to their internal audit function.

How we helped

PwC’s Academy designed and delivered a customised programme with three focus areas:

  • Foundational data analytics training for all levels

  • Advanced analytics training

  • Analytics training for leaders

Results

Through practical case studies and expert-led sessions, auditors enhanced their proficiency in data analytics and Power BI, strengthening the organisation’s decision-making capability.

  • 74% improvement in data analytics application

  • 95.7% average increase in confidence using Power BI to apply data analytics to Internal Audit work

  • 96.1 Net Promoter Score (NPS)

Digital literacy for a real estate investment and development organisation

The situation

Aiming to adapt to changing industry demands and stay ahead, the client planned to engage all employees through digital upskilling programmes to drive digital and people transformation.

How we helped

PwC’s Academy curated a bespoke organisation-wide programme that included:

  • Digital awareness programmes

  • Access to PwC's Online Academy for autonomous learning

Results

  • 56% average increase in confidence level in applying basic data analytics skills at work

  • 87 net promoter score (NPS)

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Contact us

Lay See Wee

Lay See Wee

Digital Academy Lead, PwC Malaysia

Tel: +60 3-2173 1120

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