Equinet Academy
Stop describing data. Start drawing conclusions from it.
Course Description
What is This Course About?
Data analytics is not about creating charts. It is about designing structured investigations that answer business questions with evidence and interpreting what the data actually tells you.
This is a focused, one-day foundational course. It covers exactly two things, done properly: how to frame a business problem as an analytical question, and how to explore a dataset to find the patterns that answer it. No project management frameworks. No ROI models. No capacity planning. Those belong in Module 2, when you have real analytical experience to apply them to.
You will learn how to approach business problems methodically, explore datasets visually and statistically, apply basic data mining techniques, and translate patterns into business implications. AI-assisted tools are introduced to show how modern analytics environments accelerate exploration, without replacing the judgment you bring to what the data means.
By the end of this course, you will have genuine analytical foundations, the mental models, vocabulary and hands-on experience needed to get real value from everything that follows.
Target Audience
Who This Course is For
This course is designed for professionals who work with data in a business context but have not had structured training in analysing it properly.
- Aspiring data analysts are building the foundational capability required before moving into applied analytics tools
- Business executives and managers who interpret data regularly but want a stronger methodological framework
- Operations and marketing professionals responsible for data-driven reporting or performance analysis
- Fresh graduates entering analytics, business intelligence or data-adjacent roles
- Professionals transitioning into data-driven functions who need structured foundations before specialising
If you work with data and want to move from describing what happened to understanding why, this is where that shift begins.
Prerequisites
What You’ll Need to Get Started
No prior analytics training is required. You should:
- Be comfortable working with spreadsheets at a basic level
- Have a reasonable comfort with numbers and basic arithmetic
- Be willing to engage with business case scenarios and draw conclusions from data
- Have an interest in using data to answer real business questions
Course Highlights
What You’ll Learn
Across two focused learning units, you will build the analytical foundation that everything else in this programme builds on. Specifically, you will learn:
- How to frame business problems as analytical questions: what it means to approach an organisational challenge with data, and how to structure an investigation before touching a dataset
- Why organisations invest in data analytics and what genuine business insight looks like versus a well-formatted report
- Core statistical and data modelling concepts applied to real business scenarios, explained in plain language without requiring a mathematics background
- Visual and analytical dataset exploration: how to examine a dataset systematically, what to look for, and how to distinguish meaningful patterns from noise
- Basic data mining techniques: running structured analytical models to surface business insights from real data
- Pattern interpretation: how to translate what you see in data into a clear, defensible statement about what it means for the business
Course Objectives
What You’ll Takeaway
By the end of this course, you will be able to:
- Analyse business problems and design structured data approaches to generate actionable insights
- Explore datasets using statistical and analytical techniques to identify patterns and business implications
Skills You’ll Acquire
Completing this course, you will develop the following foundational capabilities:
Statistical Application
Apply core statistical concepts to examine and interpret real business datasets
Data Modelling Fundamentals
Configure and customise basic analytical models to investigate a business hypothesis
Business Problem Structuring
Frame an organisational challenge as a structured, testable analytical question
Data Exploration
Examine datasets visually and analytically to identify patterns, trends and anomalies
Pattern Interpretation
Translate what the data shows into clear, grounded business implications
Data Mining Execution
Run structured analytical models to generate initial business insights from a dataset
Insight Extraction
Identify meaningful findings in business data and distinguish signal from noise
Analytical Communication
Present initial findings clearly to a peer or manager with appropriate caveats
Certification Track
Level up!
This is Module 1 of the Certified AI-Enabled Data Analyst programme.
Module 1: Data Analytics and Data Literacy Essentials ←You are here
Module 2: Business Analytics and Applied Data Analysis
Module 3: Power BI
Module 4: Advanced Data Visualisation and Dashboarding with Tableau
Module 5: Data Storytelling and Executive Communication
This module gives you two things and two things only: the ability to frame a business problem analytically, and the ability to explore data to find the answer. That is the right starting point. Everything else, predictive modelling, dashboard development, and executive communication, depends on getting those two things right first.
A Certification of Completion by Equinet Academy will be awarded to candidates who have demonstrated competency in the Data Analytics and Data Literacy Essentials course assessment and achieved at least 75% attendance.
Course Outline
Inside the course
Two learning units. One day. A clean, focused progression from problem framing and analytical foundations through to hands-on data exploration and pattern interpretation. Nothing beyond what a first-day analyst needs to get right before moving on.
Framing Business Problems and Analytical Foundations
- Methods to approach a business problem and structure a data-driven solution
- Organisational benefits of business insights and intelligence
- Application of statistics and data modelling concepts in business contexts
- Exploit business data to extract insights aligned with organisational needs
- Interpret implications of data patterns on business scenarios
Exploratory Analysis and Insight Generation
- Methods to visually and analytically explore datasets
- Methods to identify and interpret implications of data patterns
- Configure and customise data models to investigate business hypotheses
- Application of data mining and modelling tools to generate insights
- Run complex data mining models to provide structured business insights
Assessment Methods
- Case Study Written Assessment
- Individual Project Presentation
Trainers
Meet Your Educators
Trainer Bio
Sifat Khan
Sifat Khan is a Data & AI practitioner and educator with over 8 years of experience delivering real-world data solutions and training. He has led 30+ data projects and trained over 1,560 professionals across Southeast Asia, Australia, and the Middle East. Specialising in data analytics, machine learning, and generative AI, Sifat focuses on bridging the gap between theory and application—helping individuals and organisations build practical, job-ready capabilities. He has delivered 100+ training programmes and works extensively with enterprise clients to drive measurable business outcomes through Data & AI.
Course Fee & Funding
Fund Your Brain Gain
Don’t let funding hold you back. Discover grants and resources built for your next career move.
Full Course Fee (without funding)
S$499.00 S$999.00
Course Schedule
Mark Your Calendar!
Duration: 1 Day / 8 Hours
This intensive one-day workshop blends analytical frameworks with applied dataset exercises and structured business case simulations. The format is designed to build both conceptual understanding and hands-on confidence in a single focused session.
| Learning Mode | Course Dates | Duration | Trainer |
|---|---|---|---|
| In-Person | 15 Jun 2026 (Mon) | 9.00am - 6.00pm | |
| In-Person | 01 Sep 2026 (Tue) | 9.00am - 6.00pm | |
| In-Person | 14 Dec 2026 (Mon) | 9.00am - 6.00pm |
Click on the course dates above to register online.
Frequently Asked Questions (FAQs)
The Need-to-Know Stuff, Fast
Everything you need to know about the course. Can’t find the answer you’re looking for? Please contact our friendly team.
No. This module is built for beginners. Every concept is introduced from first principles with a business context. If you can work with a spreadsheet and are comfortable reasoning with numbers, you have what you need.
Because the foundation should be tight, not padded. This module covers two things well: framing problems analytically and exploring data to find answers. Anything beyond that belongs in Module 2, where you have real modelling experience to draw on.
No. The course uses practical tools that do not require a programming background. The focus is on analytical thinking and interpretation, not software development.
AI-assisted tools are introduced as aids for exploration and summarisation, demonstrating how modern analytics environments can accelerate pattern-finding. The emphasis is on your judgment about what those patterns mean.
Yes, and that is specifically what it is designed to do. Module 2 assumes you can frame an analytical problem, explore a dataset and interpret what you find. This module builds exactly those two capabilities, nothing more.
Related Courses
More to explore!
Take your learning further, discover handpicked courses designed to expand your skills and spark new ideas.
Build the analysis. Make the case. Move the decision.
Build dashboards that do not just display data. Build ones that change how people see it.
Your analysis is sound. Now make it impossible to ignore.