Year 1: Fundamentals of Client Communication in Business Analytics–

Week 1-2: Introduction to Client Communication in Business Analytics

  • Understanding the significance of effective client communication in data analytics.
  • Types of clients and stakeholders in business analytics projects.
  • Challenges and common pitfalls in client communication.

Week 3-4: Client Needs Assessment

  • Conducting needs assessments and gathering client requirements.
  • Defining clear project objectives and goals.
  • Establishing the scope of analytics projects.

Week 5-6: Data Visualization Basics

  • Importance of data visualization in client communication.
  • Basic principles of effective data visualization.
  • Tools and software for creating simple visualizations.

Week 7-8: Reporting and Documentation

  • Creating clear and concise reports for clients.
  • Structuring reports to convey insights effectively.
  • Best practices in documentation and report organization.

Week 9-10: Presenting Analytical Results

  • Techniques for presenting statistical findings to non-technical audiences.
  • Explaining machine learning outputs and predictions in layman’s terms.
  • Addressing client questions and concerns during presentations.

Week 11-12: Communication Strategies

  • Strategies for conveying complex information in a simple and understandable way.
  • Active listening skills in client interactions.
  • Handling objections and managing client expectations.

Week 13-14: Ethical and Legal Considerations

  • Data privacy and security in client communication.
  • Ethical dilemmas in data analysis and communication.
  • Compliance with relevant regulations (e.g., GDPR, HIPAA).

Week 15: Final Project and Presentation

  • Students will work on a small-scale client project, applying the communication skills and techniques learned throughout the course.
  • Each student will present their project findings and recommendations to the class.