Learning Roadmap

How our curriculum is structured

Every course connects to something larger. Here's exactly how the individual courses build into the two bootcamps — and where you can join either path.

Path 1

Data Analytics

20 weeks → job-ready analyst. Starts from zero, ends at Python.

1

Excel for Data

Foundation

How to organise, clean, and think about data before touching any tool.

2

SQL Training

Standalone course

Query real databases directly instead of waiting for someone to send you a spreadsheet.

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3

Power BI Training

Standalone course

Turn SQL results and spreadsheet data into dashboards leadership will actually use.

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4

Data Analytics with Python

Standalone course

Go deeper than any spreadsheet or BI tool can — automated analysis, custom calculations, charts.

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5

Data Analytics Bootcamp

Full bootcamp

All four tools in one structured program, built to take you from zero to job-ready in 20 weeks.

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Path 2

Data Science

26 weeks → machine learning & AI. Builds on analytics foundations.

1

SQL + Data Visualization

Foundation

The foundation — querying data and presenting it clearly before introducing any machine learning.

2

Data Analytics with Python

Standalone course

Python as the core analytical tool — pandas, numpy, plotting. The language everything else is built on.

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3

Machine Learning

Standalone course

Move from describing data to predicting outcomes — regression, classification, model evaluation.

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4

Deep Learning

Standalone course

Neural networks, image and text models — where Python meets the frontier of applied AI.

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5

Generative AI

Standalone course

Large language models, prompting, and building real applications on top of modern AI systems.

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6

Data Science Bootcamp

Full bootcamp

The complete 26-week program — all six topics in a single structured path from foundation to frontier.

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Not sure which path is right for you?