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Certificate Level Courses

Our Certificate Programs in Data Engineering, Visual Analytics, and Cybersecurity provide a practical and future-focused learning experience designed to prepare participants for the digital economy. Through a balance of hands-on exercises, real-world case studies, and industry-relevant tools, learners will gain the skills to manage data pipelines, transform information into actionable insights, and safeguard digital assets. Whether working with business data, creating compelling dashboards, or defending against cyber threats, participants will be equipped with the technical expertise and problem-solving mindset to thrive in today’s technology-driven workplaces.

For Whom?

School Leavers & Fresh Graduates

Students in computer science, IT, engineering, business analytics, accounting, finance, or related fields seeking practical, in-demand skills before entering the workforce.

Early-Career Professionals in Business & IT

Associate-level staff such as business analysts, junior developers, reporting executives, ERP support teams, network administrators, or junior security analysts.

Professionals Transitioning to Technology/Data Roles

Individuals from finance, supply chain, operations, HR, admin, or non-IT backgrounds moving into technology-driven roles.

Pathway Diagram - Growth Map

Learning Path

Certificate Level Courses

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Data Engineering

(123)
This course gives you practical skills in data collection, analysis, and visualization for business and ERP environments, preparing you for entry-level roles in data and business analysis

66 Hrs 11 Weeks 2.75 Months
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Visual Analytics

(123)
This course teaches practical data analysis and visualization with Excel and Tableau, covering formulas, pivot tables, Power Query, and interactive dashboards to turn raw data into business insights.

60 Hrs 10 Weeks 2.5 Months
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Cyber Security

(123)
Learn information security fundamentals and boost your career skills with training in personal branding and professional presence.


 
60 Hrs 10 Weeks 2.5 Months
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Junior Data Engineer

(123)
This course gives you practical skills in data warehousing, SQL, and dashboard creation using Snowflake and Power BI, preparing you for entry-level roles as a junior data engineer or data analyst.
156 Hrs 26 Weeks 6.25 Months

Overview
Data Engineering 

The Data Engineering Certificate program is a comprehensive, hands-on learning experience designed to equip participants with the skills to collect, process, analyze, and manage data within modern business environments. Through practical exercises using Excel, SQL, ERP systems, and basic Python for data engineering, learners will gain the ability to work with data pipelines, ensure data quality, and deliver actionable business insights. The course bridges foundational data concepts with real-world ERP data applications, preparing participants for both entry-level and evolving data engineering roles.

This program is embedded with a Career Development Program, which aims to help participants own their voice and engage meaningfully with others, clarify personal brand, develop presence, and connect it to future aspirations, and build behaviors, attitudes, and a thinking aligned with career success.

Course Objectives

Master the End-to-End Data Journey

Learn how to collect, clean, transform, and manage business data using industry tools like Excel, SQL, ERP systems, and Python.

Build Real-World Data Solutions 

Design and implement practical data pipelines, ETL processes, and reporting dashboards that deliver actionable business insights.

Launch Your Data-Driven Career

Gain hands-on experience with projects that showcase your ability to solve business problems through data engineering best practices.


Value Proposition

Business-Relevant Skills

Direct application of data engineering concepts to ERP environments used by companies worldwide. 

Tool Mastery

Proficiency in Excel, SQL, ERP data handling, and introductory Python for data engineering. 

Career-Focused

Covers both technical and business skills, aligning with current industry demands

.

End-to-End Data Handling

Skills spanning from data collection and cleaning to visualization, reporting, and automation.

Course Contents
Data Engineering
Module
Learning Outcomes
Introduction to Data & Business Scenarios
Data types, collection methods, business applications, customer understanding
Spreadsheets for Data
Data entry, formatting, formulas, filtering, sorting, charts, advanced Excel functions
Data Tools & Dashboards
Data validation, pivot tables, dashboards, what-if analysis
ERP Systems
ERP fundamentals, business importance, key modules
Databases & SQL
Database concepts, SQL basics, NoSQL overview
Data Pipelines & ETL
ETL basics, data warehouses vs. lakes, data modeling
Data Quality & Governance
Data quality principles, governance, role of data engineer
Project Kick-off & Preparation
Data cleaning, preparation for ERP data projects
ERP Data Analysis
Data manipulation, pivot-based analysis, dashboard creation
ERP Data Extraction & Reporting
Simulated ERP data, Excel/SQL analysis, API & flat file extraction

Overview
Visual Analytics

The Visual Analytics course equips learners with the skills to transform raw data into meaningful insights using Excel and using other renown visual analytics tools such as Tableau. Through a blend of practical exercises and real-world scenarios, participants will learn how to clean, analyze, and visualize data to support business decision-making. The course bridges the gap between data handling and storytelling, enabling learners to create clear, interactive dashboards that communicate insights effectively to technical and non-technical audiences. 

This program is embedded with a Career Development Program, which aims to help participants own their voice and engage meaningfully with others, clarify personal brand, develop presence, and connect it to future aspirations, and build behaviors, attitudes, and a thinking aligned with career success.

Course Objectives

Master Data Cleaning with Excel & Power Query

Develop proficiency in cleaning, transforming, and structuring data for analysis using Excel and Power Query

Design Insightful Charts, Pivot Tables & Dashboards

Learn how to design effective charts, pivot tables, and interactive dashboards that highlight trends and insights

Excel, Power BI & Tableau: When and How to Use Each

Understand when and how to use Excel, Power BI, and Tableau to deliver data-driven recommendations


Value Proposition

Hands On Experience

Gain practical experience with industry-standard tools used by analysts and business professionals worldwide.

Data Storytelling

Learn not just the technical skills, but also how to present data visually to influence decisions. 

In Demand Skills

Acquire competencies that are in high demand across business, finance, marketing, and operations roles 

Platform Versatility

Build versatility by working with Excel, Power BI, and Tableau, enabling adaptability to different business environments

Course Contents
Visual Analytics
Module
Learning Outcomes
Introduction to Data & BI
Understand the role of data in decision-making and the basics of BI tools
Excel Basics
Confidently navigate Excel and format data for clarity
Data Preparation in Excel
Prepare raw data for analysis using Excel’s built-in tools
Excel Formulas & Functions
Apply formulas to analyze and transform data efficiently
Pivot Tables & Conditional Formatting
Summarize and highlight key trends in large datasets
Data Visualization in Excel
Create clear, impactful charts and visuals
Power Query in Excel
Automate data cleaning and combine multiple data sources
Comparing BI Tools
Identify the most suitable BI tool for specific business needs
Getting Started with Tableau
Set up Tableau and connect it to various data sources
Dashboard Building in Tableau
Build interactive dashboards to present insights
Advanced Tableau & Power Query
Perform advanced data modeling and integration

Overview
Certificate in Cyber Security

Cybersecurity is a critical field across all industries that focuses on protecting digital assets and information systems from threats and vulnerabilities as the cyber attack threats are on the rise. It involves safeguarding data, networks, and applications to ensure confidentiality, integrity, and availability.

This course introduces students to foundational concepts of information security, including confidentiality, integrity, and availability (CIA triad), security models, risk assessment, and threat landscape awareness.

This program is embedded with a Career Development Program, which aims to help participants own their voice and engage meaningfully with others, clarify personal brand, develop presence, and connect it to future aspirations, and build behaviors, attitudes, and a thinking aligned with career success.

Course Objectives

Foundational Concepts of Information Security

Including confidentiality, integrity, and availability (CIA triad), security models, risk assessment, and threat landscape awareness

Deeper Technical Aspects

To build upon foundational knowledge by exploring deeper technical aspects such as endpoint protection, system hardening, OS level security (Linux/Windows), malware analysis, and advanced threat handling

Clear Pathway for Skill Growth

Focusing on skill growth by making each level of the course be tied to a specific learning outcome designed to support a steady progression


Value Proposition

No Experience Needed

Ideal for beginners and career explorers with no prior experience.

Security Foundations

Develops essential vocabulary, mindset, and understanding of how security underpins modern digital systems. 

Entry Level Ready

Builds readiness for entry-level roles or future higher-level studies.


Digital Safety Decisions

Enables informed decision-making on digital safety in both personal and professional environments.

Course Contents
Level
Subject Weight **
Modules
Certificate
50%
  1. Principles of Information Security
  2. Network Security & Intrusion Detection (NSID)
  3. Information Security Management (ISM)
  4. Data and Database Security (DDS)

** Subject weight reflects the proportion of the depth of subject matter relevant for each level.

Junior Data Engineer Foundation Certificate

Tools Focus: Snowflake + Microsoft Power BI | Level: After A/L | Beginner → Job-ready foundation

🧩 PART A: Data Engineering Foundation
Snowflake-Centric | 6–8 Modules
Module
Topics
Outcome
DE-1
Data & Analytics Fundamentals
  • What is data? Types of data
  • What is analytics & why companies invest
  • Role of Data Engineer
  • DE vs DA vs DS
🎯 Understand why data engineering exists
DE-2
Database & SQL Foundations
  • Database & DBMS concepts
  • Tables, keys (primary & foreign)
  • SQL basics: SELECT, WHERE, ORDER BY
  • Filtering & aggregations
🎯 Read & query structured data
DE-3
Introduction to Snowflake
  • What is Snowflake & why use it
  • Cloud data warehouse concepts
  • Snowflake architecture basics
  • Databases, schemas, tables
  • Running SQL in Snowflake
🎯 First exposure to enterprise data platform
DE-4
Data Ingestion
  • Data sources: Excel, CSV, ERP
  • Loading data into Snowflake
  • Manual uploads & staging
  • Data pipeline concepts
🎯 How data enters a warehouse
DE-5
Data Transformation & Modeling
  • Data cleaning & transformation
  • Transformations using SQL
  • Fact & dimension tables
  • Why data modeling matters
🎯 Raw data → analytics-ready
DE-6
Data Engineering Lifecycle
  • End-to-end: Source → Warehouse → BI
  • Data quality basics
  • Performance & modeling
  • Security & access basics
🎯 Big picture of Data Engineer role
DE-7
Mini Project (Optional)
  • Retail sales data case study
  • Load data into Snowflake
  • Prepare analytics-ready tables
🎯 Portfolio-ready project
📊 PART B: Visual Analytics Foundation
Microsoft Power BI | 6–8 Modules
Module
Topics
Outcome
BI-1
Analytics & KPI Foundations
  • What is business intelligence
  • KPIs & metrics explained
  • How management uses dashboards
  • Examples: retail, finance, logistics
🎯 Think like a business user
BI-2
Power BI Fundamentals
  • What is Power BI
  • Power BI Desktop overview
  • Connecting to data sources
  • Interface introduction
🎯 Comfortable with Power BI tool
BI-3
Data Modeling in Power BI
  • Relationships between tables
  • Why data models matter
  • Star schema concept
  • Connecting Power BI to Snowflake
🎯 How BI consumes engineered data
BI-4
Visualizations & Dashboards
  • Bar, line, pie, KPI cards, tables
  • Choosing the right visual
  • Dashboard layout best practices
🎯 Create professional dashboards
BI-5
Basic DAX
  • What is DAX
  • Measures vs columns
  • Simple calculations (sales, averages)
  • Filtering & slicers
🎯 Add intelligence to dashboards
BI-6
Storytelling & Insights
  • Turning dashboards into stories
  • How consultants present insights
  • Common dashboard mistakes
🎯 Communicate insights confidently
BI-7
Final Project (Optional)
  • Use Snowflake data
  • Build end-to-end Power BI dashboard
  • Present insights
🎯 Showcase project for CV/interviews
🧠 Why This Works as a Foundation Course
✔ Clear DE vs BI separation
✔ Industry-relevant tools
✔ Beginner friendly (no heavy coding)
✔ Builds real job confidence
✔ Perfect stepping stone to DS, IT degrees, internships

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