Overview
This course is designed for executives who want to enhance their knowledge and
skills in the field of business analytics. It covers key concepts, tools, and techniques
that can help executives make data-driven decisions and gain a competitive
advantage in today’s business environment. The course is delivered through a
combination of lectures, case studies, and hands-on exercises.
Objectives of the Course
The main objectives of this course are to:
1. Develop an understanding of the key concepts and tools of business
analytics.
2. Learn how to collect, analyze, and interpret data to make informed business
decisions.
3. Develop an appreciation of the potential and limitations of different analytics
techniques.
4. Understand the ethical considerations of data usage in business contexts.
5. Learn how to communicate effectively with data specialists to maximize the
value of analytics for the organization.
Key Learning Outcomes
Upon completion of this course, participants will be able to:
1. Analyze business problems and opportunities using data and analytics
techniques.
2. Develop and implement effective data-driven strategies.
3. Evaluate the accuracy and reliability of different data sources.
4. Communicate the value of analytics to stakeholders in a clear and compelling
manner.
5. Leverage data and analytics to gain a competitive advantage in their industry.
Course Modules
Module 1: Introduction to Business Analytics
Module 2: Data Collection and Management
Module 3: Analytical Tools and Techniques
Module 4: Data-Driven Decision-Making
Module 5: Ethical and Strategic Considerations
Module 6: Communicating Insights and Driving Impact
Course Duration: 6 Weeks
Course Fee: ₦750,000
Target Audience
This course is targeted at executives, managers, and senior leaders who are
interested in enhancing their skills in the area of business analytics. It is suitable for
those responsible for making data-driven decisions, managing data-related projects,
or leading teams that utilize analytics. Participants may come from diverse industries
including finance, marketing, operations, and technology. Prior knowledge of
statistics or programming is not required, but a basic understanding of business
operations and strategy is recommended.
Instructor
