In our information age, companies have access to unprecedented amounts information on customers--their behaviours, interests, and buying habits--and the markets in which they operate. Being able to analyse that data has become a critical skill for decision makers at every level of an organization.

Course Objectives

In this course, you will learn how to unlock the value of data to create and grow an organization. You will gain the analytical tools necessary to confidently describe the current state of areas critical to your business, predict the likelihood of an event occurring, compare two or more approaches to a business challenge, and determine if a phenomenon you are seeing is coincidence or a genuine insight. By the end of this course, you know how to make data-driven decisions to find advantages and stay competitive.

Course Content

Foundations of Business Forecasting and Strategy:

 Introduction to Modelling and Prediction

 Time Series Analysis for Forecasting

 Predictive Modelling for Event and Risk Analysis

 Classification Models: Model Performance and Validation

 Prescriptive Analytics and Optimization

 Introduction to Optimization

 Actionable Insights and Storytelling

 Case Studies in Prediction and Prescription

Target Audience

• Business managers, entrepreneurs, analysts, and executives in finance, operations, marketing, or strategy roles with basic data literacy.
• Suitable for mid-to-senior level professionals in Lagos, Nigeria, or similar dynamic environments, where businesses face challenges like market volatility, supply chain disruptions, or digital transformation. Ideal for those in SMEs, startups, or corporations seeking to leverage data for growth without extensive technical backgrounds.

Course Conclusion

As we conclude the Data Analysis for Business Future Prediction and Decision Making course, reflect on your evolution from data observer to strategic forecaster. You've mastered techniques to peer into the future, turning uncertainties into opportunities through informed, data-backed decisions.

Key takeaways underscore the fusion of analytics and business acumen: accurate predictions empower proactive strategies, ethical practices build trust, and visualization bridges insights to action.Keep evolving with trends in AI and big data for sustained success.

Accommodation:

This course is non-residential. Participants are to lodge in hotels of their choice near the Training centre. A list of these Hotels will be provided on request