Who is this for
Whether you’re upskilling in your role or pursuing a full data analyst certification course, find the path that matches where you are now.
Analyst / Marketing Professional
Individual courses in GA4, Power BI, or data storytelling, skills I can apply immediately to the work I do, not a six-month commitment.
Recommended
Start with Data Analytics & Data Literacy Essentials → pick a specialist tool (GA4, Power BI, or Tableau) → add Data Storytelling to make your analysis land with stakeholders.
Career Switcher
The full Certified AI-Enabled Data Analyst programme, all four modules from data literacy to executive communication, with structured progression.
Recommended
Complete all four modules of the Certified AI-Enabled Data Analyst 2.0 programme, from foundational analytical thinking through Power BI, Tableau, and executive data communication. The complete analytics career credential.
Corporate / HR
Custom analytics programmes for teams, from foundational data literacy to Power BI dashboard capability. Adapted to your tools, KPIs, and reporting environment.
Recommended
Explore Corporate Data Analytics Training, Power BI or GA4 programmes adapted to your organisation’s tools, KPIs, and reporting environment. Group rates available for 6+ participants.
| What you're comparing | Typical Data Workshop | Certified AI-Enabled Data Analyst |
|---|---|---|
| Focus | Tool-focused training only | Structured integration of analytics, AI workflows, and business strategy |
| Analysis Methodology | Exploratory clicking, no structured approach | Hypothesis-driven analysis methodology from Module 1 |
| AI Integration | Not covered, or mentioned as an afterthought | AI-assisted analytical workflows embedded across every module |
| Executive Communication | No data storytelling training | Full module dedicated to executive narrative, storyboarding, and stakeholder presentation |
| Tool Coverage | Single platform only | Cross-platform: Power BI (M3) and Tableau (M4), both professional-standard |
| Assessment & Credential | Attendance certificate or basic quiz | Case study written assessment + individual project presentation |
Where to Start
Three tracks across our data analytics courses, each designed for a different starting point and analytical ambition.
Tool Specialist Track
You’re using GA4, Power BI, or similar tools but want to move from surface-level reporting to genuine analytical capability in one platform.
Foundations Track
No analytical background assumed. Build the statistical and business thinking foundations before moving into tools and visualisation.
Full Certification Track
All four modules in sequence, the complete analyst pathway from data literacy through to executive communication.
Practical data analytics courses designed as short, two-day programmes. Covering data visualisation, SQL, dashboards and predictive analytics, led by industry practitioners.
Transform Data into Actionable Insights.
Smarter decisions, powered by AI.
Transform data into clear, actionable insights
Build dashboards that drive decisions.
Your analysis is sound. Now make it impossible to ignore.
Translate Google analytics 4 data into smarter marketing decisions
Master Google Analytics 4 to Extract Deep Insights That Drive Growth
Install and manage tags to track marketing data efficiently
Our Trainers
Every Equinet data analytics course trainer is an active practitioner, managing live analytics implementations, building real dashboards, and making data-driven decisions for real organisations across Singapore.
Learner Reviews
Specific outcomes from working professionals who took these data analytics courses and applied what they learned in practical workplace scenarios.
“Taking the Google Analytics 4 course at Equinet Academy has significantly improved how I work with data. I now understand GA4’s structure better and was able to create a custom dashboard in Looker Studio for our team. Setting up custom events has enhanced our tracking, and I can report key metrics more effectively, helping us focus our marketing efforts where they matter most.”
Course Taken:
WSQ Digital Marketing Analytics Course (Google Analytics)
“Equinet Academy has taught me relevant skills that I can apply directly to my work. The knowledge I gained went beyond theory, with practical techniques that I could use immediately to work more efficiently. I was able to better harness the full capabilities of Google Analytics 4, create useful dashboards, and generate valuable insights for my company.”
Course Taken:
WSQ Digital Marketing Analytics & Optimisation (Google Analytics 4)
“Though there was a lot of information to be absorbed, Dhawal was able to share insights in a layman’s perspective and it made it easy for me to understand the module.”
Course Taken:
WSQ Digital Marketing Analytics & Optimisation (Google Analytics 4)
“A course that exceeded my expectations overall. Detailed and patient guidance by the trainer – who not only taught us how to use GA, but also shared plenty of current industry insights and relevant real-life examples. Would highly recommend for anyone looking to learn more about data analytics in marketing.”
Course Taken:
WSQ Digital Marketing Analytics & Optimisation (Google Analytics 4)
“Even though I’ve been using GA for years (self-taught and learned from former managers), I learned a lot more from this course as it is much better than the videos offered in Google Analytics academy.”
Course Taken:
WSQ Digital Marketing Analytics & Optimisation (Google Analytics 4)
“This is my second course with Equinet, I am thoroughly amazed at how the trainers condensed the course content into something that was easier to digest! For this Google Analytics course, I was surprised I was even able to follow through the class with not much difficulties (given that I am not a data savvy person).”
Course Taken:
WSQ Digital Marketing Analytics & Optimisation (Google Analytics 4)
“Dhawal is always on the ball to answer questions! Appreciate the feedback and suggestions given to us during class.”
Course Taken:
WSQ Advanced Digital Marketing Analytics (Google Analytics)
“Dhawal managed to teach and simplify something that was complex. I appreciate his patience and his industry knowledge plus his experience in answering the questions that I had.”
Course Taken:
WSQ Advanced Digital Marketing Analytics (Google Analytics)
“Signed up for this advanced session after attending Basic GA course conducted by Dhawal. Learnt a lot from his sharing and knowledge on GA, and it was an extensive 2-days training. Even though im not proficient in GA, I’ll take the knowledge learnt and apply it by within next 1-2 weeks. Thanks Dhawal once again!”
Course Taken:
WSQ Advanced Digital Marketing Analytics (Google Analytics)
“My experience with Equinet has been good so far. The trainer’s sharing of real life experiences has been helpful.”
Course Taken:
WSQ Advanced Digital Marketing Analytics (Google Analytics)
Common Questions
Questions we hear before people commit to data analytics training, answered directly.
Still have questions?
Our course consultants can help you identify the right starting point based on your role, current tool familiarity, and what you need to achieve.
Speak to a ConsultantNo, especially for Modules 1 and 2. The foundational courses are designed for business professionals without a quantitative background. Statistical concepts are taught in the context of real business decisions, not abstract mathematical theory. If you can read a report and ask “why did this happen?”, you have the foundation you need. Modules 3–5 (Power BI, Tableau, Data Storytelling) require familiarity with data concepts but not mathematical expertise.
They cover the same capability in two different professional tools. Power BI (M3) is deeper on data modelling and Microsoft-ecosystem integration, generally preferred in finance, operations, and enterprise environments. Tableau (M4) is stronger on advanced visual design and exploratory data analysis, popular in consulting, marketing, and data-intensive organisations. If your organisation uses one tool specifically, take that one. The Certified AI-Enabled Data Analyst programme includes both because cross-platform capability is a significant professional differentiator, but each can absolutely be taken standalone.
The GA4 course is the right starting point, it covers the GA4 data model, custom reporting, conversion setup, and connecting analytics to marketing decisions. If you’ve never formally learned GA4, start here regardless of how long you’ve been using it casually. The Advanced Analytics course is for practitioners who are already confident in GA4 and want to build attribution modelling, multi-channel analysis, and data-led optimisation capability. Take the foundation course first if there’s any doubt.
Yes, every module is standalone. You receive a WSQ Statement of Attainment for each module you complete independently. If you later decide to pursue the full Certified AI-Enabled Data Analyst certification, completed modules count toward it with no repeat required. Many learners start with one or two modules most relevant to their current role, then stack toward the full credential over time. Platform-specific modules (Power BI, Tableau) are also popular as standalone courses for professionals who just need that specific tool capability.
It is genuinely integrated, not a badge. AI-assisted analytical workflows are embedded across all five modules of the certification programme, not confined to a single “AI module”. In Module 1, you use AI tools to assist data exploration and hypothesis generation. In Module 3, Power BI’s AI-enhanced features (Copilot, Smart Narratives, decomposition trees) are core curriculum, not optional extras. The programme is designed around how analytics practitioners actually work today, where AI tools are part of the standard analytical workflow.
After SSG funding, the nett fee varies based on your citizenship, employment status, and company size. As a general guide, eligible individuals typically pay around 30% of the full module fee per module. SkillsFuture Credit ($500 per Singaporean aged 25+) can be applied on top of the subsidy. Contact our consultants for an exact calculation, funding rates, eligibility criteria, and programme fees are confirmed at point of enrolment, not estimated upfront.
No, all software access is provided during training. Learners access tools through trainer-provided accounts or free trial licences arranged for the programme duration. After training: GA4 is free (Google account required); Power BI Desktop is free for individual use; Power BI Pro/Premium is required for sharing (typically employer-provided); Tableau offers a free 14-day trial post-training, after which a paid licence is required. Our trainers will advise on the most cost-effective post-training setup for your specific use case.
Assessment is competency-based and applied, not a technical exam. Each module is assessed via a written case study assessment (open-book, 90 minutes) and an individual project presentation (30 minutes). Both assessments are based on applying the skills learned to a realistic business scenario. You are demonstrating that you can use the tools and frameworks taught to solve a real business problem, not that you can recall definitions under pressure. Participants who engage actively during training consistently complete assessments successfully.
