Data, AI & Digital Marketing
Business Analytics with AI
Learn analytics, use AI, and solve real business problems: from data to decisions.
- Duration
- 6 months (about 120 hrs)
- Modules
- 16
- Level
- Undergraduates
- Mode
- Online, self-paced; or institution-scheduled
- Certificate
- Skillern course certificate
- Fees
- On request
About this course
A six-month programme for undergraduates that builds industry-relevant analytics skills for data-driven careers. Students progress from statistics and Excel to automation, AI-assisted analysis, the four levels of analytics (descriptive, diagnostic, predictive and prescriptive), dashboards and business case studies, and finish with an end-to-end capstone presented with a viva. Offered online and self-paced, or as an institution-scheduled programme.
- 1. Introduction to Business Analytics — 4h
- 2. Introduction to Statistics — 8h
- 3. MS Excel for Business — 8h
- 4. Advanced Excel — 10h
- 5. Excel Automation — 6h
- 6. Excel with AI — 6h
- 7. Data Preparation and Cleaning — 8h
- 8. Descriptive Analytics — 8h
- 9. Diagnostic Analytics — 8h
- 10. Predictive Analytics — 10h
- 11. Prescriptive Analytics — 6h
- 12. Data Visualisation and Dashboards — 10h
- 13. AI for Business Analytics — 8h
- 14. Business Analytics Case Studies — 8h
- 15. Capstone Project — 10h
- 16. Project Presentation and Evaluation — 2h
Who it's for
- Undergraduates in commerce, management, science or any stream
- Students preparing for analyst, MIS and business roles
Prerequisites
- Basic computer skills; no prior analytics experience needed
Curriculum
16 modules, 120 hours standard.
Learning objective
Understand the role of analytics in modern business.
Hands-on lab
Map analytics use cases in a company of your choice.
Topics covered
- Business analytics fundamentals
- Data-driven decision-making
- Types of analytics
- Business applications
What students can do by the end
- Apply statistics and Excel to business data
- Automate reporting and use AI to accelerate analysis
- Perform descriptive, diagnostic, predictive and prescriptive analysis
- Build dashboards and present data-driven recommendations
Career outcomes
- Business Analyst (entry)
- Data Analyst (entry)
- MIS Executive
- Reporting Analyst
- Operations Analyst
Tools and software
Microsoft Excel (including macros and VBA), AI assistants for analysis and prompting, Excel dashboards
Signature project
End-to-end analytics capstone. From data collection to AI-assisted insights and recommendations, presented with a dashboard, report and viva.
Assessment and certification
Students who pass receive a Skillern course completion certificate. NSDC and EMax certification are available for eligible courses.
Trainer profile
Expert faculty with industry analytics experience, with mentorship throughout
Delivery and scheduling
| Format | Schedule |
|---|---|
| Semester (recommended) | About 20 weeks at 6 hours a week |
| Intensive | 20 days at 6 hours a day, or weekend batches |
| School version | Not offered |
| Session length | 2-hour sessions |
Frequently asked questions
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