Advanced Business Analytics & AI Strategy Program

Program Overview

  • Duration: 6 months (24 weeks) | Hybrid format with live sessions, case-based projects & mentorship | Weekly commitment: 6–8 hours | Includes 6 domain projects + 1 capstone | Final project reviewed by industry mentors.
  • Session: 2 live instructor-led sessions/week + 1 mentorship/project lab | Includes tool demos, case study discussions, peer reviews & Q&A | Total: ~72 live sessions over 6 months | Plus self-paced videos & assignments for deep learning.
  • Mode: Online
  • Who is this course for:
    BBA/MBA grads, working professionals (0–7 yrs) in marketing, finance, ops, HR, or consulting; career switchers into analytics; entrepreneurs & final-year students aiming for data-driven strategy or business analyst roles.
  • Prerequisites:
    Basic understanding of business concepts; no prior coding required. Familiarity with Excel is helpful. Open to BBA/MBA grads, professionals, or final-year students eager to learn analytics, AI tools, and case-based decision making.
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Course Details

Unlock the power of data to drive smarter decisions! i2i Industry’s 6-month Advanced Business Analytics & AI Strategy Program is designed for BBA/MBA graduates and professionals eager to transform their careers. Through real-world case studies, live mentorship, and hands-on projects, you’ll master tools like Excel, SQL, Power BI, and Python—without needing a coding background. Learn to forecast trends, analyze customer behavior, optimize operations, and build executive dashboards. Each month brings a domain-specific challenge—from finance to marketing to supply chain—culminating in a capstone project reviewed by industry experts. Whether you're launching your analytics journey or looking to upskill for leadership, this program blends strategic thinking with AI-driven insights to help you grow. Learn. Apply. Lead with Data. Enroll now and future-proof your career. Ask ChatGPT

Curriculum

60 teaching points included in this program.
Module 18 items
  • Introduction to Business Analytics & BI
  • Decision-making frameworks: SWOT, PESTEL, BCG Matrix, Porter's 5 Forces
  • KPI & Metric Alignment across departments
  • Data handling using Excel & Power Query
  • Tools: Excel, Miro, Canva
  • Case Study: Amazon's customer-centric data culture
  • Case Study: Starbucks KPI-driven expansion
  • Project: Strategic dashboard for a retail brand entering a new city
Module 28 items
  • Deliverable: Boardroom-style Excel dashboard & presentation
  • Financial statements: P&L, Balance Sheet, Cash Flow
  • Financial ratios, ROI modeling & break-even analysis
  • Time Series Forecasting in Excel & Python
  • LSTM neural networks for revenue prediction
  • Tools: Excel Advanced, Python (pandas, matplotlib), TensorFlow/Keras
  • Case Study: Netflix churn forecasting
  • Case Study: Razorpay loan default prediction
Module 38 items
  • Project: Revenue forecast model for a startup
  • Deliverable: Excel model + Python LSTM notebook + investor pitch deck
  • Customer Segmentation using K-means and ANN
  • CLV, CAC, churn prediction modeling
  • Campaign performance metrics and attribution modeling
  • A/B testing and statistical validation
  • Tools: Python (scikit-learn, seaborn), Power BI, Excel
  • Case Study: Zomato campaign spend optimization
Module 48 items
  • Case Study: CRED loyalty-based segmentation
  • Project: Customer segmentation & campaign strategy for an e-commerce platform
  • Deliverable: Cluster dashboard + marketing plan + insights deck
  • Demand forecasting using LSTM models
  • Inventory management strategies (JIT, EOQ, Safety Stock)
  • Reinforcement Learning for route optimization
  • Vendor scorecards and logistics analytics
  • Tools: Python (gym, keras), Excel Solver
Module 58 items
  • Case Study: BigBasket inventory optimization
  • Case Study: Swiggy last-mile delivery planning
  • Project: AI-enabled supply chain plan for a retail chain
  • Deliverable: RL model output + Excel dashboard + cost-saving report
  • Visual storytelling with BI tools (Power BI/Tableau)
  • Executive dashboard creation and layout design
  • NLP fundamentals: Tokenization, Lemmatization, TF-IDF
  • Sentiment analysis using TextBlob and NLTK
Module 68 items
  • Tools: Power BI/Tableau, Python (NLTK, TextBlob), Miro
  • Case Study: Flipkart executive performance dashboard
  • Case Study: Myntra review feedback & sentiment analysis
  • Project: BI dashboard + NLP review engine for customer feedback
  • Deliverable: Interactive BI dashboard + sentiment model + business insights deck
  • Agile methodology for analytics & iteration
  • Business model innovation using Lean Canvas
  • AI transformation strategy for traditional businesses
Module 78 items
  • Storytelling techniques for executive communication
  • Capstone Domains: Retail, BFSI, Healthcare, EdTech
  • Project: End-to-end AI strategy for a real-world business case
  • Deliverable: Business model canvas, Jupyter notebook, final presentation to i2i industry panel
  • 6 domain-specific business projects with live case data
  • Portfolio-ready capstone (evaluated by industry mentors)
  • Master Excel, Python, Power BI, SQL, NLP & Deep Learning
  • Career-ready for roles: Business Analyst, Product Analyst, BI Consultant, Growth Strategist
Module 84 items
  • Optional Add-ons:
  • - SQL for Analysts (Pre-recorded + assignments)
  • - Resume, LinkedIn & GitHub portfolio sessions
  • - Case Interview Training (MBA-style frameworks)

Career Assistance

Secure placements in premier companies by mastering the latest in-demand skills, augmented by comprehensive mock interviews, strategic portfolio development, and polished resume crafting.

85%

Placed within 6 months
of Course

350+

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