Business Analytics: Data and Decisions
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Introduction
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In today's data-driven economy, organizations face vast amounts of information, but not all data leads to meaningful decisions. Many professionals struggle to connect the dots between raw data and actionable insights, resulting in missed opportunities, inefficient operations, and poor strategic choices. To compete and grow in a dynamic market, businesses must develop the capability to turn data into decisions that are backed by sound analytical methods and aligned with strategic goals.
Business Analytics: Data and Decisions is a comprehensive, hands-on training program designed to empower professionals with the skills and tools to analyze data effectively and make smarter business decisions. This 5-day course blends theory and practice in statistics, probability, programming, optimization, and machine learning—all key pillars of business analytics. Participants will learn to extract insights from data, build predictive models, and apply optimization techniques to solve real-world business challenges.
Through a mix of practical exercises, Python programming demonstrations, and applied analytics case studies, this course provides a robust foundation for professionals looking to harness the power of analytics to drive results.
Course Outline
Maths and Statistics Primer
- Understanding the importance of data analytics in a business context
- The role of data in drawing business decisions
- Introduction to probability theory and its models
- Conditional probability and Bayes' Theorem applications
- Explaining the law of total probability
- Introduction to probability and binomial distributions
- Describing the central limit theorem and its implications
- Techniques for manipulating normal distributions
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