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Learning tracks

Pick a path. Build real skills.

Three structured tracks take you from fundamentals to job-ready, no matter where you're starting from.

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๐Ÿ”ฅ hots for data
Data Analytics learner at work
Beginner friendly12 weeks01

๐Ÿ“Š Data Analytics

Turn raw numbers into clear stories with Excel, SQL, Power BI and Tableau.

Excel & spreadsheetsSQL fundamentalsPower BITableauData storytelling
  • Build interactive dashboards from scratch
  • Analyse real business datasets
  • Communicate insights with confidence
Start this track
Data Science & ML learner at work
Intermediate16 weeks02

๐Ÿง  Data Science & ML

Learn Python, statistics and machine learning to build models that matter.

PythonStatisticsPandas & NumPyScikit-learnModel evaluation
  • Train and evaluate real ML models
  • Ship a portfolio-ready ML project
  • Think critically about data bias and ethics
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Data Engineering learner at work
Intermediate14 weeks03

โš™๏ธ Data Engineering

Design the pipelines and infrastructure that keep data flowing reliably.

PythonSQL & data modellingETL pipelinesCloud (GCP/AWS)Workflow orchestration
  • Build production-grade data pipelines
  • Model and warehouse data efficiently
  • Automate jobs end to end
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Included in every track

More than just lessons.

Every track is built around the same promise: you finish with skills you can demonstrate.

  • Weekly live sessions with practising professionals
  • Hands-on labs with real datasets
  • Portfolio-ready projects with structured feedback
  • Peer study circles and 1:1 mentorship
  • Career support, referrals and a community showcase
โœŒ๏ธ Join the community

Not sure which track fits?

Register anyway. Our mentors will help you pick the right starting point during onboarding.