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Data Analytics Nanodegree

From first query to predictive models

Most analysts plateau at dashboards. Go from querying data to predicting with it — SQL and Tableau through to production-ready machine learning.

3 courses
DA100 → AI100 → AI200
All 3 WSQ-certified
Statement of Attainment each
Up to 70% off
SSG · SkillsFuture Credits · UTAP
  • 4,000+trusted reviews
  • 30,000+professionals upskilled
Data Analytics Nanodegree

Data Analytics Nanodegree

Three courses. One structured pathway.

Three stacked courses that take you from extracting and visualising data, to automating the analysis in Python, to building predictive models that hold up in real use.

1STEP 1EXTRACT

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

SQLData QueryingTableauDashboardingData Storytelling
Data Analytics with SQL and Tableau (DA100)
2STEP 2AUTOMATE

Automate 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

PythonPandasData ManipulationAdvanced Visualisation
Python Programming and Data Visualisation (AI100)
3STEP 3PREDICT

Build 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

Machine LearningPredictive ModellingScikit-learnModel Evaluation
Applied Machine Learning (AI200)

Complete all three to earn the Data Analytics Nanodegree certificate

You won't just learn the tools.
You'll learn the thinking.

Pulling the numbers is the easy part. The harder skill is judgement — knowing which question is worth asking, which cut of the data actually answers it, and when a result looks too clean to trust.

Heicoders Academy learners at a data analytics training session

BEFORE

You wait on someone else to pull the data you need.

You build dashboards that get looked at once, then ignored.

When the data gets messy or large, you hit a spreadsheet ceiling.

→

AFTER THE NANODEGREE

You pull and shape the data yourself, and spot when it's telling a different story.

You build repeatable Python workflows that scale with the problem.

You're the analyst who forecasts what happens next, not just what already did.

Real capabilities you'll walk away with.

Not a list of topics — the concrete things you'll be able to build and own once you complete the pathway.

🗄️

Own the full data workflow

Extract with SQL, shape and automate in Python, visualise in Tableau — end to end, without waiting on a handoff.

📊

Build dashboards people act on

Design visualisations that cut through the noise and give stakeholders a decision, not just numbers.

🤖

Ship predictive models

Train and evaluate models, and know when to trust them — the line between an analyst and a data scientist.

📁

Graduate with three capstone projects

A portfolio that proves you can take a messy, real-world data problem from start to finish.

Whichever role you're in, this pathway meets you there.

You want to break into data

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

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.

30,000+ GRADUATES AND COUNTING

This could be you.

Start your own Nanodegree pathway today and write the next career-switch, promotion, or portfolio-building success story.

Heicoders Nanodegree graduates

FAQs on Data Analytics Nanodegree

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.

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