Data Engineering, Analytics & Business Intelligence
Graduate program combining data engineering, analytics, and business intelligence — build pipelines, analytical models, and executive dashboards, then ship an end-to-end capstone.
4.7
(410 students)
30 Weeks · 300 hours
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What is this course about?
Data Engineering, Analytics & Business Intelligence
30-Week Graduate Program · 15 Modules · Pipelines · Analytics · BI · Capstone
Become a job-ready data professional across 15 modules aligned to the Cloud Engineering graduate structure: foundations and SQL, modelling and warehousing, pipelines and streaming, analytics and decisions, BI and governance, then a defended end-to-end capstone.
What you'll walk away with:
- Data engineering fluency: SQL, modelling, ETL/ELT, lakes/warehouses, orchestration
- Analytics skills: exploration, metrics, experimentation basics, and storytelling with data
- BI craft: semantic models, Power BI / Tableau dashboards, and stakeholder-ready reporting
- Governance habits: quality, lineage, access control, and documentation employers expect
- A capstone analytics platform (ingest → transform → model → dashboard → narrative) for interviews
Course Features
Post Graduate Diploma
30 Weeks of Content
Hands-on Projects
Community Support
Lifetime Access
Student Reviews
Neha Kapoor
This program finally connected pipelines, analytics, and BI for me. The warehouse models and dashboard pack from the capstone became the first thing recruiters asked about.
Accenture IndiaArjun Desai
SQL → dbt-style transforms → orchestration → Power BI was exactly the path I needed. I went from ad-hoc reports to shipping a governed data product.
Infosys LimitedSneha Iyer
Loved the metric dictionary and semantic model modules. Interviewers were impressed that I could explain grain, SCD, and RLS with real project evidence.
Deloitte ConsultingRohit Malhotra
The capstone forced an end-to-end story: ingest, curated layer, tests, dashboards, and a decision memo. That portfolio piece helped me land a junior analytics engineer role.
FlipkartAnanya Krishnan
Clear structure and strong mentor feedback on pipeline reliability. Freshness SLAs and failure runbooks are skills I use every week on the job now.
Tata Consultancy ServicesVikram Shah
Best bridge from campus SQL to production data habits. Dimensional modelling plus BI governance made me credible in both engineer and analyst conversations.
Wipro TechnologiesHannah Brooks
As an international student, the end-to-end capstone was the differentiator. Recruiters cared that I could defend architecture, quality checks, and executive dashboards.
Thoughtworks UKDaniel Okonkwo
Practical DE + analytics + BI without fluff. The storytelling and ROI defence in the final review prepared me for stakeholder meetings, not just technical screens.
Shopify Canada