Advanced Business Analytics: Excel Optimization & Simulation from Coursera

This course equips learners with advanced skills in building and analyzing models using Excel to solve real-world business problems. Participants will learn to optimize decision-making processes using Solver, conduct sensitivity analysis to refine model outcomes, and apply advanced integer programming techniques to tackle complex scenarios. The course also covers sophisticated methods for solving assignment and transportation problems and introduces simulation techniques to analyze uncertainty and variability in decision-making.

By the end of this course, learners will have the tools to enhance efficiency, improve resource allocation, and drive strategic decisions using Excel’s powerful modeling and analytical capabilities. What sets this course apart is its focus on actionable insights and practical, hands-on applications of advanced techniques, ensuring students are prepared to address challenges across a range of industries. Whether optimizing operations, solving logistical challenges, or preparing for uncertainty, this course provides essential skills for making confident, data-driven decisions.

Prerequisite knowledge of basic Excel functions and foundational analytics is recommended.

What's inside

Syllabus

Modeling in Excel: Elementary to Advanced

In this module, we do a quick review of how to model business problems in Excel and how to solve for them using Solver.

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Focuses on actionable insights and practical, hands-on applications of advanced techniques, preparing students to address challenges across a range of industries

Teaches how to enhance efficiency, improve resource allocation, and drive strategic decisions using Excel’s powerful modeling and analytical capabilities

Explores sensitivity analysis, which allows learners to quickly check whether their optimal solution changes when certain parameters change

Covers advanced integer programming, which is essential when dealing with constraints that require discrete decisions, such as determining the number of products to manufacture

Requires prerequisite knowledge of basic Excel functions and foundational analytics, which may exclude some learners without prior experience

Presented by Johns Hopkins University, which is known for its business programs and for its groundbreaking research

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Advanced excel optimization & simulation

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Advanced Business Analytics: Excel Optimization & Simulation with these activities:

Review Linear Programming Fundamentals

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Reinforce your understanding of linear programming concepts, which are foundational for using Excel Solver effectively in optimization problems.

Browse courses on Linear Programming

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Review the basic principles of linear programming.
Practice formulating simple linear programming problems.
Solve linear programming problems graphically and algebraically.

Read 'Optimization Modeling with Spreadsheets'

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Deepen your understanding of optimization modeling techniques using spreadsheets, which will enhance your ability to apply Excel Solver effectively.

View Optimization Modeling with Spreadsheets on Amazon

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Read the chapters related to linear and integer programming.
Work through the examples provided in the book.
Try to apply the techniques to different business scenarios.

Solve Excel Solver Problems

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Sharpen your skills in using Excel Solver by working through a variety of optimization problems, which will improve your proficiency in applying the tool to business analytics.

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Find practice problems online or in textbooks.
Formulate the problems as linear or integer programs.
Use Excel Solver to find the optimal solutions.
Analyze the sensitivity reports generated by Solver.

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Study 'Business Analytics: The Science of Data-Driven Decision Making'

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Gain a broader understanding of business analytics and how optimization and simulation fit into data-driven decision-making.

View Business Analytics: The Science Of Data -... on Amazon

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Read the sections on optimization and simulation.
Consider how the concepts relate to the course material.
Reflect on how these techniques can be applied in your field.

Build a Simulation Model for Inventory Management

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Apply simulation techniques learned in the course to create a practical inventory management model in Excel, which will solidify your understanding of simulation and its applications.

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Define the parameters and variables for the inventory model.
Implement the simulation using Excel functions and formulas.
Run the simulation for a specified number of iterations.
Analyze the results and draw conclusions about inventory policies.

Optimize a Real-World Transportation Problem

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Apply your knowledge of advanced transportation problems to optimize a real-world scenario, such as supply chain logistics or distribution networks, which will enhance your problem-solving skills.

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Identify a real-world transportation problem.
Gather the necessary data on costs, capacities, and demands.
Formulate the problem as a mathematical model.
Solve the model using Excel Solver.
Interpret the results and make recommendations.

Write a Blog Post on Sensitivity Analysis

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Solidify your understanding of sensitivity analysis by explaining the concept and its applications in a blog post, which will reinforce your learning and improve your communication skills.

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Research sensitivity analysis and its applications.
Write a clear and concise explanation of the concept.
Provide examples of how sensitivity analysis can be used in business.
Publish the blog post on a relevant platform.

Career center

Learners who complete Advanced Business Analytics: Excel Optimization & Simulation will develop knowledge and skills that may be useful to these careers:

Business Analyst

The work of a business analyst focuses on using data to improve business processes and decision making. A course centered on advanced business analytics in Excel, optimization, and simulation directly prepares one for the challenges of this role. The optimization techniques taught by the course improve the ability to allocate resources effectively, while simulation skills let business analysts examine uncertainty and variability in potential business plans. The module on sensitivity analysis in particular helps one quickly check whether optimal solutions change when certain parameters change. A prospective business analyst may find the module on modeling in Excel especially relevant.

See salaries and explore the career path for Business Analyst

Data Analyst

As a data analyst, one uses data to identify trends, create reports, and make data-driven decisions, and skills in advanced modeling are highly prized. This course on advanced business analytics helps data analysts learn to optimize decision-making using tools like Solver and other techniques. The course helps data analysts gain skills in simulation. The module on advanced integer programming helps data analysts navigate constraints that require discrete decisions. The skills learned in this course help data analysts add value to organizational operations.

See salaries and explore the career path for Data Analyst

Operations Research Analyst

An operations research analyst uses advanced analytical techniques to improve organizational efficiency. This course is valuable to an operations research analyst because it provides skills in optimization, simulation, and advanced Excel modeling techniques. The sensitivity analysis techniques taught will be valuable for assessing the robustness of solutions, and the material on advanced integer programming will be directly applicable to problems involving discrete decisions. This course helps operations research analysts to tackle real world logistical and operational challenges. The module on advanced transportation problems will be most relevant to the operations research analyst.

See salaries and explore the career path for Operations Research Analyst

Management Consultant

Management consultants advise organizations on how to improve their performance and efficiency. This course on advanced business analytics equips management consultants with the ability to formulate and solve optimization problems and to use simulation to model complex scenarios. The techniques on sensitivity analysis will allow consultants to swiftly evaluate the impact of changing parameters, and the tools for advanced integer programming are essential for discrete decision-making. The module on modeling in Excel especially helps management consultants.

See salaries and explore the career path for Management Consultant

Financial Analyst

Financial analysts evaluate financial data to make recommendations to businesses and individuals. A financial analyst must understand decision making processes and methods of handling uncertainty. Therefore, a course that covers advanced business analytics, optimization, and simulation is especially salient. The financial analyst may use skills of modeling in excel. This course may be particularly relevant to the financial analyst who must prepare for uncertainty. Financial analysts might be particularly interested in the module on sensitivity analysis.

See salaries and explore the career path for Financial Analyst

Supply Chain Analyst

The supply chain analyst examines the supply chain, looking for inefficiencies, and offering solutions. The modules on advanced transportation problems and simulation are highly relevant to the work of a supply chain analyst, who must understand logistical and operational challenges. Skills in simulation will especially help supply chain analysts analyze uncertainty and variability in decision making. The modeling skills taught in this course equip supply chain analysts with skills to add value to organizational operations. The advanced integer programming skills that this course provides supply chain analysts help with discrete decisions.

See salaries and explore the career path for Supply Chain Analyst

Pricing Analyst

Pricing analysts determine optimal pricing strategies for products or services. This course on advanced business analytics in Excel, optimization, and simulation helps pricing analysts create comprehensive models. The simulation techniques enable the analysis of uncertainty, especially when pricing new products. The skills that pricing analysts will learn will enhance efficiency and improve resource allocation. This course gives pricing analysts essential skills for data driven decisions. Pricing analysts should pay close attention to the module on sensitivity analysis.

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Project Manager

Project managers are responsible for planning, executing, and closing projects. Project managers are often responsible for efficient resource allocation. This course may help the project manager by providing skills in optimization, sensitivity analysis, and simulation. The advanced integer programming techniques are helpful in project selection given budget constraints. The project manager may find that a focus on actionable insights and practical applications of advanced techniques will help them address project challenges across a range of industries.

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Market Research Analyst

Market research analysts study market conditions to assess the potential sales of a product or service. This course may help the market research analyst by providing skills in simulation and sensitivity analysis. The simulations explored in the course will enhance the market research analyst's ability to implement simulations in Excel, which can be applied to a variety of business analytics problems. Participants will learn to optimize decision-making processes using Solver. This course is set apart by its focus on actionable insights and practical applications of advanced techniques.

See salaries and explore the career path for Market Research Analyst

Statistician

Statisticians need skills in data analysis and simulation. Many statisticians make use of computer models. Skills in advanced business analytics in Excel, optimization, and simulation should be valuable to the statistician. This can help the statistician tackle complex scenarios; statisticians may find the module on advance integer programming particularly helpful. By the end of this course, statisticians will have the tools to enhance efficiency and improve resource allocation. Whether optimizing operations, solving logistical challenges, or preparing for uncertainty, this course may provide essential skills for making confident, data-driven decisions.

See salaries and explore the career path for Statistician

Economist

Economists study the production and distribution of resources, goods, and services by collecting and analyzing data, researching trends, and evaluating economic issues. This course may be useful if the economist is using computer models. A course on advanced business analytics, optimization, and simulation helps economists analyze complex systems and improve their modeling. This course may provide essential tools for making confident, data-driven decisions. This course is separated from others by its focus on actionable insights and practical applications of advanced techniques.

See salaries and explore the career path for Economist

Actuary

Actuarial science is the discipline that applies mathematical and statistical methods to assess risk in the insurance and finance industries. This course may be helpful for actuaries because of the use of sensitivity analysis to refine model outcomes. The simulation techniques to analyze uncertainty and variability in decision-making are particularly relevant to the actuarial field. The course is useful for enhancing efficiency, improving resource allocation, and driving strategic decisions using Excel’s powerful modeling and analytical capabilities.

See salaries and explore the career path for Actuary

Investment Banker

Investment bankers advise companies on raising capital through the issuance of stocks and bonds and assist with mergers and acquisitions. Investment bankers should understand how to optimize decision-making and how to conduct sensitivity analysis. A course on advanced business analytics, optimization, and simulation is relevant to investment bankers. With this course, learners will have the tools to enhance efficiency and improve resource allocation, and will be prepared to address challenges across a range of industries. The module on simulation is helpful for analyzing uncertainty and variability in decision-making.

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Management Accountant

Management accountants, also known as cost, industrial, or corporate accountants, record and analyze the financial information of the organizations for which they work. The module on sensitivity analysis is relevant. The course helps one improve resource allocation. The advanced integer programming techniques are helpful for tackling complex scenarios. The course will help one enhance efficiency and improve resource allocation, and drive strategic decisions using Excel’s powerful modeling and analytical capabilities.

See salaries and explore the career path for Management Accountant

Cost Estimator

Cost estimators collect and analyze data to estimate the time, money, materials, and labor required for construction projects or manufacturing products. This course provides essential skills for making confident, data-driven decisions. The module on simulation may provide insights into how to analyze uncertainty and variability in decision-making. This course may provide skills for addressing challenges across a range of industries. Cost estimators should have prerequisite knowledge of basic Excel functions and foundational analytics.

See salaries and explore the career path for Cost Estimator

Advanced Business Analytics

Excel Optimization & Simulation

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