Upcoming Dates
19 August, 2026 Kwai Chung 12 weeks Register Now
All Dates

Overview

Transform your career with our Data & Business Analytics Program — an intensive, employment-focused programme designed for motivated career-switchers who aspire to build a career in data analytics, business analytics, reporting, operations analysis, or related fields.

This programme prepares learners to become data-enabled analysts who can combine analytical thinking, business understanding, stakeholder communication, and AI-assisted tools to support effective decision-making in real-world business environments.

According to the Future of Jobs Report 2025, Data Analysts and Data Scientists remain among the fastest-growing professions globally, with 86% of employers expecting AI and big data technologies to transform their businesses. As AI becomes increasingly embedded across industries, employers are no longer looking solely for individuals who can operate tools—they are seeking professionals who can work alongside AI, interpret business needs, generate actionable insights, and drive better business outcomes.

 

Unlike traditional data courses that focus only on technical tools, this bootcamp trains learners to:

  • clarify business problems and analytical requirements
  • clean, validate, and analyse data using Excel, SQL, Python, and Power BI
  • apply KPI logic and analytical thinking to identify business insights
  • communicate findings and recommendations to technical and non-technical stakeholders
  • use AI and automation tools responsibly to improve workflow efficiency

Through hands-on group projects, business cases, stakeholder role-plays, and a final capstone(live) project, learners will practise solving realistic business problems under ambiguity — not just building dashboards.

The ability to use data to support business decisions

A mindset that moves beyond analysis towards business recommendations and impact

Strong stakeholder communication and cross-functional collaboration skills

Career Prospects

Graduates will have a wide range of career options, such as Data analyst, business data analyst, business intelligence analyst, reporting analyst, performance analyst, operations analyst, business analysis assistant, etc.

Course Enquiries

If you have any questions regarding the course content, please feel free to contact our Programme Officer.

Enquiries

 

What we offer

  • Free training. You’ll learn all you need to be successful – from job skills to the employment essentials that will help you achieve your potential. 
  • Connect with hiring employers. Generation will help you to define personal values, attitudes, skills, and knowledge, resume building, and prepare for job interviews.  At the end of the program, we will connect you with employers looking to hire candidates at the time, support you in job applications, and help you transition into your working life.
  • Mentor support. Providing coaching during and 6 months post program to stand by you through challenges and successes.
  • Alumni community. Stay engaged and connected with each other and with Generation through regular communications, events, and leadership opportunities

What industry skills will you learn?

TECHNICAL SKILLS

Participants will develop technical competencies through hands-on and interactive sessions, including:

  • Foundations of data-enabled analysis 
  • Excel for business analytics, data cleaning, validation, and scenario analysis
  • Descriptive Statistics, Data Distributions and Covariance and Correlation
  • Data collection, cleaning, manipulation, analysis and visualisation in Python
  • Data Analysis with SQL
  • Power BI for data visualisation, dashboards, and decision support
  • Communicating with business stakeholders and domain knowledge
  • KPI logic, driver trees, funnel analysis, cohort analysis, and business recommendations
  • AI-assisted analysis, responsible AI use, and workflow automation concepts

SOFT SKILLS

In addition to technical expertise, participants will develop essential workplace skills, including:

  • Learning Agility
  • Results-driven Problem Solving
  • Ownership Mindset
  • Business Judgment
  • Influencing Skills
  • Prioritisation & Decision-making
  • Stakeholder Collaboration
  • Data Quality Mindset

Program Dates

19 August, 2026 Kwai Chung 12 weeks Register Now

The application process

Apply

15 minutes

Share some details about your circumstances with us so we can let you know if you are eligible for the program.

Interview

40 minutes

We’ll invite you to join an interview session so we can get to know you better and your motivations to join the program!

Aptitude Test

30 minutes

In your own time, please complete a couple of online tasks. Don’t worry, you don’t need to have any existing knowledge or experience to do this.

Class begins

12 Weeks

Requirements

  • Individual aged 25-35 without master degree and passionate about starting a career in data or business analytic industry immediately after completing the program 
  • No specific educational background or work experience in the relevant industry is required 
  • Keen interest and/or basic skills in IT, data and statistics, willing to learn new tools
  • Strong logical thinking ability, good at defining and clarifying key points 
  • Strong adaptability, learning ability, attention to detail, and a willingness to receive feedback
  • Proficiency in Chinese and English
  • Legally permitted to work in Hong Kong
  • Passed the online test and interview

Graduate Story

Graduate Story

“Although I had no prior experience in the industry, the Live Project provided through the programme allowed me to build a portfolio that showcased what I had learned and gave me the opportunity to be seen by employers and enter the field.”

— Tiffany Tam | Data Analytics Programme Graduate

During the programme, Tiffany and her fellow learners worked on a Live Project analysing operational data from one of Hong Kong’s largest solar power systems. Through this real-world experience, they strengthened their skills in data analysis and data visualisation while tackling complex energy datasets.

The project required learners to work with raw data, understand data collection methodologies, clean and prepare datasets from scratch, conduct analyses, create visualisations for reporting, and develop actionable recommendations. By applying classroom learning to an authentic business challenge, learners gained hands-on experience and built a portfolio that enhanced their employability.

Training Partner

Preface

Preface, a leading technology content company, empowers both corporates and individuals to navigate the rapidly evolving tech landscape for success. Preface operates globally across Hong Kong, London, Singapore, and Tokyo. Their AI-powered training programmes provide fast and relevant content to help learners future-proof their businesses and careers.

Program Instructors

Sam Ng – Lead Instructor

Sam is a serial entrepreneur and consultant specializing in AI-driven digital transformation and global market strategy. An Honors graduate in Software Engineering from the University of Queensland, he possesses a strong technical background, having served major institutions like Invensys and prominent investment banks.

Sam has extensive experience optimizing operations for top-tier firms, including Sa Sa International, Hysan Development, and Henderson Land. His entrepreneurial achievements include co-founding Silicon Valley’s first physical asset-backed crypto fund, driving $1 million in revenue for a Web3 project within 48 hours, and securing two successful exits. Currently, Sam focuses on AI education and consulting, bridging technological innovation with business growth while actively supporting youth development and organizational strategy.

 

Hammer Chu

Hammer is a full stack tech developer experienced in Python, automation, data systems, and applied AI. As a startup founder he builds real-world tools for robot operations, monitoring, decision support, and workflow automation, where data is used to extract business insights, track performance, identify issues, and improve operations. 

As an instructor he helps learners use AI tools to clean, analyze, visualize, and explain business data, with a focus on turning raw information into practical insights and real business decisions that deliver values.

 

Inness Chu

Inness has built his career at the intersection of technology, business, and people. With over 20 years of leadership experience across multinational corporations, blue-chip organisations, and entrepreneurial ventures in Australia, Hong Kong, and the Asia-Pacific region, he has successfully driven digital transformation, AI adoption, eCommerce, Smart City initiatives, and business expansion through strategic partnerships and M&A. Today, he is passionate about helping the next generation succeed. As a Generation Hong Kong instructor, Inness equips learners with the confidence and professional skills to thrive—from interview preparation and workplace communication to data storytelling, stakeholder engagement, and navigating the realities of the corporate world. His practical coaching bridges the gap between classroom learning and real business challenges.

FAQ

What will I receive after enrolling in this course?

You will acquire a valuable skill set that can potentially increase your income and provide you with opportunities to transition into the technology industry. 

Think of this programme as the start of a promising career progression. You’ll begin as a junior data analyst before moving up the ladder. Entry-level junior data analysts can earn approximately $17,000 per month, and the demand for these roles is significant, according to data from JobsDB.

 

I want a career change, is this program helpful to help me make the transition?

The program is designed to be practical and employment-oriented, helping participants acquire the necessary skills and knowledge to enter the field in a short period of time. Even without relevant qualifications and experience, you can become a Data and Business Analyst from scratch in just 12 weeks. Generation will provide pre-employment support, including job interview skills training, mock interview practice, and employer sharing sessions, allowing learners to gain an understanding of the industry landscape and trends, and assisting them in successfully transitioning into a new career.

I am jobless or currently not working. How does the program ensure practical skills and enhance employability?

This free Data and Business Analyst training program is designed in collaboration with employers. The program content is closely aligned with industry fundamentals and the most commonly used skills, allowing you to quickly acquire the necessary skills and knowledge while enhancing your competitiveness in the job market. The program provides comprehensive data analytical skill training and employment support, group projects, as well as support like job referrals. These opportunities will help you gain practical experience and successfully transition into a new career. Upon completion, you will have the potential to work as a Data analyst, business data analyst, business intelligence analyst, report analyst, performance analyst, operations analyst, business analysis assistant.

Does the program provide job guarantees?

Generation works closely with a network of employer partners, providing graduates with access to interview and job entry opportunities. To ensure learners successfully transition into new careers, we offer comprehensive pre-employment support, including resume writing, interview skills training, and mock interview practice. This training is designed to equip participants with the necessary skills and preparation to maximize their chances of a successful career transition.

What are the employment prospects after completing this course?

Upon completing the course, participants will have various employment opportunities to consider. Some potential job titles to pursue include:

  • Data analyst
  • Business data analyst
  • Business intelligence analyst
  • Reporting analyst
  • Performance analyst
  • Operations analyst
  • Business analysis assistant

As participants gain relevant work experience, they can also explore positions such as Senior Data Analyst or Senior Business Data Analyst.

What teaching mode does this program adopt?

Our program adopts a hybrid teaching mode, including in-person and online classes. To accommodate different learning needs, our experienced instructors will teach various topics based on students’ learning progress and guide them in problem-solving. Additionally, to familiarize students with data analysis and project management skills, they will collaborate with others on project-based learning, enhancing teamwork skills and simulating real-world work challenges.

I have no programming or computer knowledge. Can I enroll in this course?

We recommend that you have basic programming knowledge before enrolling in the course. You can gain basic programming knowledge by completing the free online course ‘Introduction to Python‘. This will help improve your learning progress in the early stages of the course.

How is this course different from other data analyst courses?

Other data and business analyst courses typically focus on teaching computer science-related theories, whereas our Data and Business Analyst training program emphasizes understanding and practical skill application. In addition to teaching data analysis skills, we also focus on training learners’ behavior and mindset, career development, job interview and resume writing techniques, and provide 6 months of on-the-job support to help students prepare more comprehensively for entering the industry.