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From Excel Reports to Business Insights: Your Data Science Journey

Learn to think like a senior data scientist and join a community of over 20,000 learners who are building the future of tech.

Chat With a Career Advisor

Data Science Misconception

You Don't Need to Be a Maths Genius

When most people think of data science, they imagine complex algorithms, advanced statistics, and endless lines of code. Whilst these skills matter, they're not what makes a great data professional. The best data scientists and analysts are storytellers; they take messy, confusing data and turn it into clear insights that drive business decisions.

If you've ever looked at a spreadsheet and thought, "There's a pattern here," or "This doesn't make sense," you already have the mindset. The technical skills? We'll teach you those. More importantly, our instructors will teach you to think like a senior data scientist or analyst—approaching problems systematically, asking the right questions, and communicating findings with confidence.

Heicoders Academy team in Singapore office

It's About Business Impact, Not Just Code

Think like a business analyst first

  • Why are sales dropping?

    Real business problems that data analysts solve.

  • Which customers are most likely to churn?

    Insights that impact revenue.

  • Code comes second

    Data science isn't about writing the most elegant Python script. It's about answering the questions that drive business decisions.

Communication Matters More Than You Think

Explain complex findings simply

  • Stakeholder Communication

    The best data professionals can explain complex findings to non-technical stakeholders.

  • Translating Insights

    If you've ever had to explain something complicated to someone who doesn't understand the details, you're already halfway there.

  • Business Storytelling

    Turn messy data into clear narratives that drive decisions.

Your Background is an Asset, Not a Barrier

Non-tech skills are your advantage

  • Teachers

    Understand how to break down complex ideas into simple steps.

  • Accountants

    Know how to spot patterns in numbers and financial data.

  • Sales Professionals

    Understand customer behaviour and business context that pure technologists often lack.

What Problems Do Data Analysts Solve?

Data analysts don't just analyze—they answer the questions that drive business decisions. Here are the core problems you'll be equipped to solve.

Why Did Performance Drop?
Root cause diagnosis

Why Did Performance Drop?

Your client's email open rates fell 23% overnight. You investigate: Was it the subject line? Send time? Audience change? You isolate variables, spot the root cause, and recommend the fix.
Real ScenarioSales suddenly drops. Is it your product, pricing, competition, or timing? You dig through the data to find the actual culprit.
⏱️ Hours saved in guesswork

Next phase
Where Is Money Wasted?
Budget optimization

Where Is Money Wasted?

Companies throw budget at channels without knowing what converts. You build dashboards that show which campaigns, segments, or features drive real revenue. Suddenly, budget decisions aren't guesses.
Real ScenarioMarketing spends $100K across 5 channels. You reveal that 2 channels account for 80% of conversions.
💰 ROI on every dollar spent

Next phase
Which Customers Are Leaving?
Churn prediction & prevention

Which Customers Are Leaving?

Churn is silent until it's too late. You identify the patterns—which segments are at risk, what behavior signals departure, when to intervene. You turn churn from a mystery into a solvable problem.
Real ScenarioFree tier users who don't invite teammates within 7 days have 60% churn. Now you can target them proactively.
🎯 Retention increases measurably

Next phase
Is This Actually Working?
Validation & hypothesis testing

Is This Actually Working?

Product teams launch features. Marketing tests campaigns. Leadership makes bets. You're the person who answers: "Did it work?" with data, not opinions. You validate or debunk assumptions.
Real ScenarioNew checkout flow looks promising, but stats show 2% actual improvement. Was it worth the engineering effort?
✔️ Data-driven decisions, not hunches

Your Learning Roadmap: Data Science

By the end of the programme, you'll have 3 major capstone projects solving real-world business problems. Here's what you'll build based on our actual course curriculum.

✓Your Choice: Online or In-Person
✓Your Schedule: Weekday or Weekend
✓Your Career: Industry-recognised certificate
Phase 1

Master the Foundation

You'll start by building the analytical foundation every data professional needs. This phase teaches you to query databases, create professional-grade dashboards, and tell compelling stories with data. You'll also learn how to frame business problems and approach analysis systematically — just like senior data analysts do.

Skills you'll learn:

SQLTableauExcelAI AnalyticsData Storytelling

DA100: Data Analytics with SQL and Tableau

Phase 2

Learn Python for Data Science

Building on your analytical foundation, this phase introduces you to Python — the language of data science. You'll master data manipulation, cleaning, and transformation, and learn to produce clear, insightful visualisations that communicate findings to both technical and non-technical audiences.

Skills you'll learn:

PythonData StructuresAPIsPandasData CleaningData Visualisation

AI100: Python Programming and Data Visualisation

Phase 3

Apply Machine Learning

In the final technical phase, you'll dive into machine learning — the engine behind modern data science. You'll build predictive models, understand core ML concepts, and apply advanced techniques to solve real business problems. This phase is where your skills as a data scientist truly come together.

Skills you'll learn:

Machine LearningFeature EngineeringRecommender SystemsPredictive Modelling

AI200: Applied Machine Learning

Your Portfolio Projects: Proof You Can Do the Job

By the end of the programme, you'll have 3 major capstone projects solving real-world business problems. Here's what you'll build based on our actual course curriculum.

Capstone Project 1

DA100: Professional-Grade Dashboard

Business Problem

A company needs an interactive dashboard to track key business metrics and make data-driven decisions.

Your Solution

You analyse real-world data using SQL to extract and manipulate data from databases, then build a professional-grade dashboard in Tableau with graphical and geospatial visualisations. You deploy the dashboard to the cloud and incorporate AI-assisted analytics for forecasting.

Skills You'll Prove

Data extractionAdvanced queriesTableau dashboardDeploymentAI-assisted analyticsData storytellingGeospatial visualisations
Capstone Project 2

AI100: Python Data Analysis Project

Business Problem

A business needs to analyse large datasets to uncover patterns and insights that inform strategic decisions.

Your Solution

You use Python to clean, transform, and manipulate data using Pandas. You create advanced visualisations to communicate findings, connect to APIs to pull external data, and automate repetitive data processing tasks.

Skills You'll Prove

SyntaxData structuresData functionsData manipulationData visualisationAPI integrationData cleaningData transformation
Capstone Project 3

AI200: Predictive Machine Learning Models

Business Problem

A company wants to predict future outcomes—such as customer churn, sales forecasts, or product recommendations—to optimise business strategies.

Your Solution

You build predictive models using supervised learning (regression and classification), ensemble learning techniques, and unsupervised learning (clustering). You perform feature engineering to improve model performance and build a recommender system to personalise customer experiences.

Skills You'll Prove

RegressionClassificationClusteringFeature engineeringModel evaluationImpact analysis

Career Outcomes & Salary Expectations: What to Expect After Graduation

Our graduates transition into high-demand data roles across industries. Here's what you can expect.

Entry-Level Roles

Data Analyst, Business Intelligence Analyst, Junior Data Scientist

S$4.5k - 6.5k
per month

Mid-Level Roles (2-3 Years)

Senior Data Analyst, Data Scientist, BI Developer

S$7k - 9.5k
per month

Senior Roles (4+ Years)

Senior Data Scientist, Lead Data Analyst, Data Science Manager

S$10k - S$14k+
per month

Source: Heicoders Academy internal data and industry benchmarks.

Companies Hiring Our Graduates

DBS
Shopee
Grab
SCOR
UOB
OCBC
Temasek
Deloitte
P&G

Data Science FAQs

No. Many of our successful graduates come from non-technical backgrounds like teaching, accounting, sales, and operations. What matters most is your curiosity, problem-solving ability, and commitment to learning. We'll teach you the technical skills from scratch.

Subsidised. Flexible. Designed for Working Adults.

Our commitment to quality is validated by top industry rankings and media features, while national funding frameworks make our training more accessible.

Citizens & PR

SSG Subsidy

SkillsFuture Singapore funding for Citizens and Permanent Residents.

Up to 70%
Aged 25++

SkillsFuture Credits

Use your credits to offset course fees for Singapore Citizens aged 25+.

Offset fees
Aged 21-39

PSEA

Post-Secondary Education Account funding for learners aged 21 to 31.

Eligible learners
Union members

NTUC UTAP

Union Training Assistance Programme for NTUC union members.

$500/year
Finance sector

IBF Funding

Institute of Banking & Finance funding for selected courses.

Up to 70%

Not sure which applies to you? We'll help you find out.

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