Prepare yourself for the Advanced Data Analysis Techniques course

The Advanced Data Analysis Techniques Course empowers professionals to solve complex business challenges using advanced modelling, simulation, optimization, and predictive analytics tools within Microsoft Excel. As organizations increasingly rely on data to guide decisions, professionals must move beyond basic analytics to harness the full potential of modern data modeling and simulation.

This course explores how advanced analytical methods—such as linear programming, Monte Carlo simulation, and Markov models—can be applied to diverse business problems. Participants will learn how to structure data, design optimization models, and simulate real-world systems to predict behavior, minimize costs, and maximize efficiency.

Through guided, hands-on sessions, this course transforms Excel into a powerful analytical environment, enabling participants to shift from intuition-based decisions to data-driven strategies that improve performance, forecasting, and risk management across industries.

Custom Training Solutions

Design tailored learning programs to meet your organization’s unique goals and challenges.

Key Learning Outcomes and Objectives?

Upon completing this course, participants will gain the expertise to design, simulate, and analyze data-driven models that enhance organizational decision-making. They will learn to:

  • Apply linear programming techniques to optimize production and logistics systems
  • Use Excel’s Solver to perform both linear and nonlinear optimization
  • Develop and simulate predictive models for risk and performance assessment
  • Build and interpret Markov and Monte Carlo models to forecast outcomes
  • Perform scenario and what-if analyses for uncertain business conditions
  • Integrate genetic algorithms and stochastic optimization for complex problems
  • Utilize Excel for simulation, forecasting, and decision modeling
  • Transition from descriptive analytics to predictive and prescriptive insights

The AI Academy Learning Approach

This course follows a practical, application-based methodology that emphasizes real-world problem-solving. Participants will work through case studies across multiple industries—ranging from supply chain optimization and robotics to financial forecasting and healthcare systems.

Using Microsoft Excel as the analytical platform, participants will engage in guided simulations that illustrate how data modeling can predict performance, identify risks, and uncover opportunities for improvement. Each session focuses on developing a deep understanding of analytical reasoning through hands-on modeling exercises rather than abstract theory.

Course Outline Summary

  • Introduction to optimisation and linear programming
  • Objective functions, constraints, and feasibility regions
  • Solving production and supply chain problems in Excel
  • Linear and non-linear optimisation methods
  • Genetic algorithms and stochastic search strategies
  • Scenario analysis and what-if modeling in Excel
  • One-variable and two-variable data tables
  • Introduction to Markov models and risk analysis
  • Monte Carlo simulations and statistical modeling
  • Real-world optimisation and forecasting applications

Is This Course Right for You?

This course is ideal for professionals who regularly analyze, interpret, or model data to support decision-making in complex business environments. It is especially valuable for analysts, engineers, managers, and technical specialists in industries such as finance, logistics, energy, manufacturing, and risk management.

Participants should have prior experience using Excel and a foundational understanding of statistical concepts. The course is particularly suitable for professionals aiming to advance their analytical expertise, move toward predictive analysis, and apply quantitative models to real business operations.

Certificate

  • AIcademy Certificate of Completion for delegates who attend and complete the training course
NASBA

Frequently Asked Questions

  • Online: Select the course you want to register for, Click the “REGISTER” button in the course outline, complete the form and click submit.
  • E-mail: Send your details to info@aicert.com
  • Telephone: Please call +971 4 787 8174 to provisionally reserve your place.

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13 - 17 Jul 2026
London
Fee

$5,950

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