BusinessLoom: Unraveling Business Analytics for India’s Strategic Advantage
3
SYLLABUS & MODULES

Module 1: Foundations of Business Analytics

  • Understanding the fundamentals of business analytics
  • Introduction to data-driven decision-making
  • Exploring the role of analytics in modern businesses
  • Case studies showcasing successful analytics implementations in Indian companies


Module 2: Data Collection and Preparation

  • Techniques for collecting relevant data
  • Data preprocessing and cleaning
  • Handling missing data and outliers
  • Data visualization techniques for effective analysis
  • Practical exercises using popular data analytics tools such as Python, R, or Excel


Module 3: Descriptive Analytics

  • Analyzing historical data to gain insights
  • Exploring key performance indicators (KPIs) for business success
  • Visualizing and interpreting descriptive analytics results
  • Case studies highlighting the importance of descriptive analytics in Indian industries


Module 4: Predictive Analytics

  • Introduction to predictive modeling techniques
  • Regression analysis for forecasting sales and demand
  • Classification algorithms for customer segmentation
  • Time series analysis for predicting market trends
  • Hands-on projects using real-world datasets from Indian markets


Module 5: Prescriptive Analytics

  • Understanding prescriptive analytics and its applications
  • Optimization techniques for decision-making
  • Recommender systems for personalized marketing
  • Simulation modeling for strategic planning
  • Practical exercises and case studies illustrating prescriptive analytics in action


Module 6: Business Intelligence and Reporting

  • Introduction to business intelligence (BI) tools
  • Creating interactive dashboards for data visualization
  • Generating insightful reports for stakeholders
  • Implementing BI solutions for Indian businesses
  • Best practices for effective BI implementation and adoption


Module 7: Ethical and Legal Considerations in Business Analytics

  • Addressing ethical dilemmas in data collection and analysis
  • Ensuring data privacy and security in analytics projects
  • Compliance with regulations such as GDPR and India's data protection laws
  • Case studies highlighting the consequences of unethical data practices in India


Module 8: Advanced Topics in Business Analytics

  • Text mining and sentiment analysis for customer feedback
  • Social network analysis for understanding market dynamics
  • Big data analytics and Hadoop ecosystem
  • Machine learning techniques for anomaly detection
  • Emerging trends and future directions in business analytics