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Data Analytics syllabus.

The complete module-by-module curriculum for the Data Analytics program, exactly as it is taught. Enter your details and the full syllabus opens right here; a counsellor can also walk you through it on a call.

✓ Every module, tool and project, nothing hidden✓ Taught live by working professionals✓ Batch dates and mode options included on the call

The full course

Curriculum, projects and tools.

Week-by-week structure, what past learners built, and every tool you'll touch hands-on. Curriculum 10 · Projects 3 · Tools 12.

M01Excel to analytics thinking20 hrs · Wk 1-2 +

M02SQL foundations26 hrs · Wk 2-4 +

M03Advanced SQL22 hrs · Wk 4-6 +

M04Power BI fundamentals24 hrs · Wk 6-8 +

M05DAX and advanced Power BI24 hrs · Wk 8-10 +

M06Python for analysts24 hrs · Wk 10-12 +

M07Statistics for decisions16 hrs · Wk 12-13 +

M08AI-assisted analytics14 hrs · Wk 13-14 +

M09Data storytelling14 hrs · Wk 14-15 +

M10Portfolio and capstone20 hrs · Wk 15-16 +

The full week-by-week syllabus is free

Every topic, project and tool, module by module. We send the complete PDF to your WhatsApp after a quick mobile verification.

Get the full syllabus on WhatsApp

Three capstones, reviewed by working professionals

Capstone themeRetail sales command centre

Model two years of retail transactions in SQL, then build an executive Power BI dashboard with drill-downs and alerts.

SQLPower BIDAX

Capstone themeMarketing funnel analysis

Clean multi-channel campaign data in Python, measure funnel drop-offs and present budget recommendations.

PythonpandasStorytelling

Capstone themeHR attrition deep dive

Join HR datasets, test attrition hypotheses statistically and deliver a retention playbook to a mock CHRO.

SQLStatisticsPower BI

Every tool you'll touch

XLExcelAdvanced analysis

SQLSQLMySQL + PostgreSQL

PBIPower BIDashboards

DAXDAXMeasures

PQPower QueryData shaping

PYPythonAnalyst stack

PDpandasDataframes

JPJupyterNotebooks

MPMatplotlibCharts

AICopilot + GPTAI-assisted work

GHGitHubPortfolio

GSGoogle SheetsCollaboration

FAQ

The questions people actually ask.

How many modules are in the Data Analytics syllabus? +

There are 10 modules, from M01 Excel to analytics thinking through M10 Portfolio and capstone. Each one lists its own topics, hours and week numbers, and the full breakdown opens on this page once you verify your mobile.

How long is the Data Analytics course? +

The syllabus lists 204+ hours of live instruction across 16 weeks. Module M01 starts in week 1 and M10 closes the course in weeks 15-16.

What projects will I build on the Data Analytics course? +

Three capstones, reviewed by working consultants: Retail sales command centre, Marketing funnel analysis and HR attrition deep dive. They are what you show in an interview, so the portfolio is finished before the course ends.

Which tools does the Data Analytics course cover? +

12 tools in all, including Excel, SQL, Power BI, DAX, Power Query and Python. The tools tab on this page lists every one of them, and you work in them hands-on rather than watching a demo.

Is the Data Analytics syllabus free to download? +

Yes. Verify your mobile once and the complete syllabus opens on this page, and we also send the PDF to your WhatsApp. There is no charge and no obligation to enrol.

How large is a Data Analytics batch? +

Batches are capped at 25 seats and every class is taught live by working professionals, not played back from a recording.