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MODULE 9 OF 9  ·  10 Hrs  ·  1 Week

Domain Knowledge + Capstone Projects

The program closes by applying everything learned to a real, end-to-end analytics project — framing a business problem, working with stakeholders, and presenting a portfolio-ready case study across a real industry domain.

Who This Module Is For
Students consolidating every prior module into one complete, presentable capstone project.
Real-World Relevance
The ability to run a complete analytics project end-to-end — not just individual technical skills — is exactly what a portfolio-reviewing hiring manager is looking for.
Program OverviewView Hands-On Labs
Curriculum

What You Will Learn

A detailed, industry-aligned breakdown of every topic covered in this module.

  • Applying analytics to real business domains
  • Framing a business problem as an analytics project
  • End-to-end capstone project execution
  • Data collection through final presentation
  • Working with stakeholders & requirements
  • Presenting findings to a non-technical audience
  • Building a portfolio-ready case study
  • Preparing for analytics interviews
Technology Stack

Tools You Will Use

Hands-on time with the same tools used by working business and data analysts today.

Excel

Spreadsheet tool used for quick data analysis, calculations and lightweight reporting.

SQL

Query language used to extract, filter and aggregate data from relational databases.

Power BI

Microsoft's business intelligence platform used to build interactive dashboards and reports.

Tableau

Business intelligence platform used to build interactive, drill-down data visualizations.

Practical Work

Hands-On Labs

Production-style data analytics lab scenarios, built using real business datasets.

01

Frame a real business problem as a structured analytics project.

02

Collect, clean and analyse data for a domain-specific case study (retail, finance, healthcare or marketing).

03

Build a dashboard and report presenting the capstone project's findings.

04

Present the capstone project's findings to a non-technical stakeholder audience.

05

Prepare and rehearse answers for common data analytics interview questions.

Evaluation

Assessment

Knowledge Assessment

Quiz covering project framing, stakeholder management and portfolio presentation practices.

Practical Evaluation

Students must execute and present a complete, end-to-end analytics capstone project from raw data to a business recommendation.

Portfolio

Projects

Industry-style deliverables added directly to your project portfolio.

Portfolio Project 01

End-to-End Data Analytics Project (Capstone)

Take a business problem from raw data to a data-driven business recommendation.

Module Outcome

What This Module Builds

Students apply everything learned to a real, end-to-end capstone project — building a portfolio-ready case study that demonstrates job-ready analytics skills.

Maps to job roles
Data AnalystBusiness AnalystAnalytics ConsultantJunior Data Analyst — all domains

Continue building your data analytics portfolio

You have reached the final module — explore career outcomes next.

View Career OutcomesFull Roadmap