Analytics foundations
Excel, statistics, business metrics, SQL fundamentals, data cleaning habits, and structured analysis thinking.
Data Analytics with GenAI
Build analytics confidence with SQL, Power BI, Python, dashboard storytelling, and GenAI-assisted reporting workflows for practical business decisions.
Duration18 weeks
FormatLive analytics studio
Best forData and business learners
OutcomeGenAI analytics portfolio
Power BI and dashboards
Data modeling, KPI design, dashboard layouts, report polish, stakeholder-ready visuals, and presentation flow.
Python analytics
Pandas workflows, automation, exploratory analysis, simple forecasting, and reusable notebook documentation.
GenAI insight workflows
Prompting for analysis, report generation, QA checks, executive summaries, and interview-ready case storytelling.
Proof of work, not just analytics vocabulary.
Learners leave with dashboards, reports, and business cases they can explain in interviews and stakeholder conversations.
KPI dashboard
Build a Power BI dashboard with clean metrics, filters, and stakeholder-ready visual hierarchy.
GenAI report
Use GenAI to support insight summaries, recommendations, and quality checks without losing accuracy.
Python analysis case
Clean, analyze, and explain a business dataset with notebooks and a clear decision narrative.
Analytics story practice
Practice explaining assumptions, data quality, business value, and recommendations with confidence.
Want to know if analytics is the right next step?
Use admissions counselling to compare analytics, Salesforce, business analysis, full stack, or cloud before choosing.