Business Analytics: Data and Decisions
Course Info
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Introduction
Objective
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Businesses can't just go with their gut anymore in today's competitive world. Being able to read data, model uncertainty, and use analytics to make decisions in the real world has become a key talent in many fields. The LPC Training course Business Analytics: Data and Decisions is meant to give professionals the technical skills and practical approach they need to turn raw data into clear, purposeful actions.
In five full days, you'll learn how to use statistical reasoning, probability, and Python programming to solve real business challenges. You will learn about both descriptive and predictive analytics, construct models to help you make decisions, and use optimisation methods, like linear programming, to solve problems with budgeting, planning, and resource allocation.
This course fills in the gaps between data and business by teaching you the skills to think critically, make decisions quickly, and lead with facts.
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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