The Complete Data Analytics Skillset — SQL to Machine Learning
For the serious learner who wants to switch careers or get promoted. This is the structured pathway to go from foundational data analysis to building predictive machine learning models, all in one guided programme.
You Won't Just Learn the Tools.
You'll Learn to Think Like a Senior.
The difference between a junior analyst and a senior one isn't the number of tools they know. It's the way they think — how they frame a business problem, choose the right approach, and communicate findings that actually drive decisions. This Nanodegree is built to develop both: the technical skills and the professional judgment to use them well.
SQL
Master Data Extraction with SQL
Senior analysts don't wait for data to be handed to them. They know exactly what questions to ask, how to structure a query to answer them, and how to spot when the data itself is telling a different story.
Tableau
Build Dashboards That Drive Action
A great dashboard doesn't just display data — it guides a decision. You'll learn to design visualisations that cut through the noise and give stakeholders the clarity they need to act.
Python
Scale Your Analysis with Python
When the analysis gets complex, senior professionals don't hit a wall — they write code. You'll develop the ability to handle messy, large-scale datasets and build repeatable, automated workflows that scale with you.
Machine Learning
Predict Outcomes with ML
The most valuable analysts don't just report on the past — they anticipate the future. You'll build models that predict outcomes, understand why they work, and know when to trust them.
Your Journey from Foundational to Full-Stack.
From SQL to Machine Learning, this Nanodegree combines DA100, AI100, and AI200 into one structured pathway. No guesswork, just step-by-step progression until you're job-ready.
Master the Analyst's Core Toolkit
First, you'll learn to think like an analyst. Master the essentials of extracting data with SQL and telling compelling stories with it using Tableau. This is the bedrock of any data role.
Skills you'll learn:
DA100 - Data Analytics with SQL and TableauAutomate and Analyse with Python
Next, you'll go beyond manual analysis. Learn to use Python and the Pandas library to programmatically clean, transform, and analyse complex datasets — a critical skill for handling data at scale.
Skills you'll learn:
AI100 - Python Programming & Data VisualisationBuild Predictive Models with Machine Learning
Finally, you'll learn to predict the future. Build, train, and evaluate machine learning models to forecast trends and solve business problems, moving you from an analyst to a data scientist skillset.
Skills you'll learn:
AI200 - Applied Machine Learning
You Don't Just Finish. You Graduate with Proof.
- A Full-Stack Data Skillset Fluency in the entire data workflow, from SQL and Tableau to Python and Machine Learning
- A Portfolio of Real-World Projects Three capstone projects that demonstrate your ability to handle complex data challenges from start to finish.
- The Foundation for Senior & Data Scientist Roles The structured knowledge required to confidently apply for more advanced positions.
Is This For You?
Most people plateau because they learn tools, not thinking. This changes that.
You want to break into data
One course won't cut it. This programme gives you the full stack. SQL to ML, plus a portfolio that proves you can do the work.
You're in data but hitting a ceiling
Whether it's Python, Machine Learning, or both — this fills the gaps and gets you to Senior Analyst or Data Scientist level.
Trusted by Learners Who Made the Switch and Moved Up.
"Heicoders gave me the foundation to take confident first steps and keep progressing in the workplace."
Maimunah transitioned from education into data analytics and now works as a Tableau developer, using SQL and Tableau daily.
"The course content is well structured and the pace is just right. Would recommend to anyone considering analytics."
Terence completed DA100, AI100, and AI200. He found the instructors extremely helpful and knowledgeable, and appreciated being able to practice along during live sessions.
"A pleasant experience. Lessons are organised in an easy-to-understand manner."
Adel completed DA100 and GA100. She valued how instructors shared how the material could be applied in real working situations.
Your Next Employer Could Be Here
Your Questions, Answered.
This Nanodegree provides the complete foundational skillset for many Data Scientist roles, especially in Python and Machine Learning. While real-world job requirements vary and often include experience, completing this programme puts you in a very strong position to apply for such roles, equipped with both the skills and a project portfolio.
Independently Recognised, Nationally Supported
Our commitment to quality is validated by top industry rankings and media features, while national funding frameworks make our training more accessible.
SSG Subsidy
SkillsFuture Singapore funding for Citizens and Permanent Residents.
SkillsFuture Credits
Use your credits to offset course fees for Singapore Citizens aged 25+.
PSEA
Post-Secondary Education Account funding for learners aged 21 to 31.
NTUC UTAP
Union Training Assistance Programme for NTUC union members.
IBF Funding
Institute of Banking & Finance funding for selected courses.
Not sure which applies to you? We'll help you find out.
Singapore's Top-Rated Tech Academy
Heicoders Academy is proud to be recognised by our graduates for our ability to deliver comprehensive and practical content in a beginner-friendly manner.
5-Star Google Reviews
Our learners consistently rate us 5 stars for our expert instruction, practical curriculum, and supportive learning environment.
Community Access
Upon course completion, students join our Heicoders Telegram community to seek ongoing advice from instructors, teaching assistants, and fellow alumni.
Instructors from Top Companies
Learn from Practitioners, Not Just TrainersOur instructors come from Google, Stripe, GIC, DBS, OCBC, Grab, and other leading firms. They bring real-world experience from billion-dollar funds and top tech companies.
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