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Alton Henley

In this course, learners will be introduced to the capstone project and how to use advanced Data Analysis Tools to build spreadsheet models to solve a real-world business problem. In addition, learners will learn how to perform Correlation Analysis and Sensitivity Analysis using Microsoft Excel.

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What's inside

Syllabus

Introduction to Capstone and Correlation Analysis
This module introduces learners to the final project and describes how to perform correlation analysis to help make informed business decisions.
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Sensitivity Analysis
This module explains how to perform sensitivity analysis using Microsoft Excel and provides business problem examples to practice.
Final Project
This module outlines the specifications for the final project. A sample business problem is also provided with step-by-step instructions.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Introduces learners to a capstone project
Shows learners how to use advanced data analysis tools
Develops knowledge of correlation analysis
Strengthens understanding of sensitivity analysis
Provides step-by-step instructions for a final project
This course is suitable for learners with an interest in data analysis and business problem-solving

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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 Solving Business Problems with Spreadsheet Modeling with these activities:
Organize and Review Course Materials
Stay organized and enhance your learning experience by compiling and reviewing essential course materials.
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  • Gather lecture notes, assignments, and other course materials.
  • Create a filing system to organize your materials.
  • Review your materials regularly to reinforce your learning.
Review Fundamental Concepts of Probability
Review the foundational principles of probability to strengthen your understanding of core concepts in data analysis.
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  • Revisit fundamental probability concepts such as sample space, events, and probabilities.
  • Solve practice problems and examples to reinforce your understanding.
Collaborate with Peers on Data Analysis Projects
Engage in collaborative learning by working with peers on data analysis projects, fostering knowledge sharing and diverse perspectives.
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  • Form study groups with fellow learners.
  • Choose a data analysis project to work on together.
  • Divide responsibilities and tasks among group members.
Five other activities
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Conduct Sensitivity Analysis Exercises
Reinforce your understanding of sensitivity analysis through practical exercises, enhancing your ability to conduct thorough and accurate analyses.
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  • Use Microsoft Excel's built-in sensitivity analysis tools.
  • Apply sensitivity analysis techniques to various data sets.
  • Interpret and present the results of sensitivity analyses.
Explore Case Studies of Sensitivity Analysis Applications
Delve into real-world examples of sensitivity analysis to grasp its practical applications and enhance your understanding of its potential impact.
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  • Identify case studies that demonstrate the use of sensitivity analysis in different industries.
  • Analyze the case studies and extract key learnings about the benefits and limitations of sensitivity analysis.
  • Discuss the implications of sensitivity analysis findings and their impact on decision-making.
Develop a Data Analysis Infographic
Showcase your understanding of data analysis by creating a visually appealing infographic that effectively communicates key concepts.
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  • Identify the key concepts and insights from the course.
  • Choose an appropriate infographic format.
  • Design and develop the infographic using visuals and text.
  • Disseminate your infographic to a wider audience.
Develop a Data Analysis Model to Solve a Business Challenge
Apply your newfound skills to address a real-world business problem by building a comprehensive data analysis model.
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  • Define the business problem and gather relevant data.
  • Design a data analysis model using appropriate techniques.
  • Implement the model using Microsoft Excel.
  • Analyze the results and draw meaningful conclusions.
  • Present your findings and recommendations to stakeholders.
Contribute to Open-Source Data Analysis Projects
Expand your practical skills and contribute to the broader data analysis community by participating in open-source projects.
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  • Identify open-source data analysis projects that align with your interests.
  • Join the project community and familiarize yourself with its codebase.
  • Make meaningful contributions to the project, such as bug fixes or feature enhancements.
  • Engage with the project maintainers and other contributors.

Career center

Learners who complete Solving Business Problems with Spreadsheet Modeling will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts are responsible for collecting, cleaning, and analyzing data to identify trends and patterns. They use this information to help businesses make informed decisions. The course 'Solving Business Problems with Spreadsheet Modeling' can help aspiring Data Analysts develop the skills they need to succeed in this role. The course teaches students how to use advanced data analysis tools to build spreadsheet models, perform correlation analysis, and conduct sensitivity analysis. These skills are essential for Data Analysts who want to be able to effectively analyze data and communicate their findings to stakeholders.
Financial Analyst
Financial Analysts use data to make recommendations about investments and financial decisions. They may work for banks, investment firms, or other financial institutions. The course 'Solving Business Problems with Spreadsheet Modeling' can be helpful for aspiring Financial Analysts because it teaches students how to use spreadsheet models to analyze financial data. This skill is essential for Financial Analysts who want to be able to make sound investment recommendations.
Business Analyst
Business Analysts help businesses improve their operations by identifying and solving problems. They may work in a variety of industries, including healthcare, finance, and technology. The course 'Solving Business Problems with Spreadsheet Modeling' can be useful for aspiring Business Analysts because it teaches students how to use spreadsheet models to analyze data and identify trends. This skill is essential for Business Analysts who want to be able to effectively identify and solve business problems.
Operations Research Analyst
Operations Research Analysts use mathematical and statistical techniques to solve business problems. They may work in a variety of industries, including transportation, logistics, and manufacturing. The course 'Solving Business Problems with Spreadsheet Modeling' can be useful for aspiring Operations Research Analysts because it teaches students how to use spreadsheet models to analyze data and identify trends. This skill is essential for Operations Research Analysts who want to be able to effectively solve business problems.
Statistician
Statisticians collect, analyze, and interpret data. They may work in a variety of industries, including healthcare, finance, and education. The course 'Solving Business Problems with Spreadsheet Modeling' can be helpful for aspiring Statisticians because it teaches students how to use spreadsheet models to analyze data and identify trends. This skill is essential for Statisticians who want to be able to effectively collect, analyze, and interpret data.
Product Manager
Product Managers are responsible for the development and marketing of products. They may work in a variety of industries, including technology, healthcare, and consumer goods. The course 'Solving Business Problems with Spreadsheet Modeling' can be helpful for aspiring Product Managers because it teaches students how to use spreadsheet models to analyze data and identify trends. This skill is essential for Product Managers who want to be able to effectively develop and market products.
Quantitative Analyst
Quantitative Analysts use mathematical and statistical techniques to analyze financial data. They may work for banks, investment firms, or other financial institutions. The course 'Solving Business Problems with Spreadsheet Modeling' can be helpful for aspiring Quantitative Analysts because it teaches students how to use spreadsheet models to analyze data and identify trends. This skill is essential for Quantitative Analysts who want to be able to effectively analyze financial data.
Actuary
Actuaries use mathematical and statistical techniques to assess risk and uncertainty. They may work for insurance companies, pension funds, or other financial institutions. The course 'Solving Business Problems with Spreadsheet Modeling' can be helpful for aspiring Actuaries because it teaches students how to use spreadsheet models to analyze data and identify trends. This skill is essential for Actuaries who want to be able to effectively assess risk and uncertainty.
Risk Manager
Risk Managers assess and manage risk for businesses and organizations. They may work in a variety of industries, including finance, healthcare, and energy. The course 'Solving Business Problems with Spreadsheet Modeling' can be helpful for aspiring Risk Managers because it teaches students how to use spreadsheet models to analyze data and identify trends. This skill is essential for Risk Managers who want to be able to effectively assess and manage risk for businesses and organizations.
Financial Planner
Financial Planners help individuals and families plan for their financial future. They may work for banks, investment firms, or other financial institutions. The course 'Solving Business Problems with Spreadsheet Modeling' can be helpful for aspiring Financial Planners because it teaches students how to use spreadsheet models to analyze data and identify trends. This skill is essential for Financial Planners who want to be able to effectively help their clients plan for their financial future.
Economist
Economists study the production, distribution, and consumption of goods and services. They may work for governments, businesses, or research institutions. The course 'Solving Business Problems with Spreadsheet Modeling' can be helpful for aspiring Economists because it teaches students how to use spreadsheet models to analyze data and identify trends. This skill is essential for Economists who want to be able to effectively study the production, distribution, and consumption of goods and services.
Market Research Analyst
Market Research Analysts collect and analyze data about markets and consumer behavior. They may work for businesses, government agencies, or non-profit organizations. The course 'Solving Business Problems with Spreadsheet Modeling' can be helpful for aspiring Market Research Analysts because it teaches students how to use spreadsheet models to analyze data and identify trends. This skill is essential for Market Research Analysts who want to be able to effectively collect and analyze data about markets and consumer behavior.
Management Consultant
Management Consultants help businesses improve their performance by providing advice and recommendations. They may work in a variety of industries, including healthcare, finance, and technology. The course 'Solving Business Problems with Spreadsheet Modeling' can be helpful for aspiring Management Consultants because it teaches students how to use spreadsheet models to analyze data and identify trends. This skill is essential for Management Consultants who want to be able to effectively provide advice and recommendations to businesses.
Strategy Consultant
Strategy Consultants help businesses develop and implement strategies to achieve their goals. They may work in a variety of industries, including healthcare, finance, and technology. The course 'Solving Business Problems with Spreadsheet Modeling' can be useful for aspiring Strategy Consultants because it teaches students how to use spreadsheet models to analyze data and identify trends. This skill is essential for Strategy Consultants who want to be able to effectively develop and implement strategies for businesses.
Data Scientist
Data Scientists use data to build models and solve problems. They may work in a variety of industries, including healthcare, finance, and technology. The course 'Solving Business Problems with Spreadsheet Modeling' can be useful for aspiring Data Scientists because it teaches students how to use spreadsheet models to analyze data and identify trends. This skill is essential for Data Scientists who want to be able to effectively build models and solve problems.

Reading list

We've selected 12 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Solving Business Problems with Spreadsheet Modeling.
Provides a comprehensive overview of artificial intelligence and its applications in business. It will help learners understand how AI can be used to solve real-world business problems and gain a competitive advantage.
Provides a comprehensive introduction to data mining and machine learning. It will help learners develop the skills needed to use data mining techniques to solve real-world business problems.
Provides a practical and easy-to-understand introduction to business statistics. It will help learners develop the skills needed to collect, analyze, and interpret data to make better business decisions.
Provides a comprehensive introduction to Python for data analysis. It will help learners develop the skills needed to use Python to collect, analyze, and interpret data.
Provides a comprehensive introduction to R for data science. It will help learners develop the skills needed to use R to collect, analyze, and interpret data.
Provides a practical and easy-to-understand introduction to data visualization. It will help learners develop the skills needed to create effective data visualizations that communicate information clearly and persuasively.
Provides a practical and easy-to-understand guide to data analytics. It will help learners develop the skills and knowledge needed to analyze data and extract meaningful insights.
Provides a comprehensive introduction to Power BI for business intelligence. It will help learners develop the skills needed to use Power BI to create interactive data visualizations that can be used to gain insights into data and make better business decisions.
Comprehensive reference guide to Microsoft Excel. It provides detailed instructions on how to use Excel's features and functions to solve a wide range of business problems.
Provides a comprehensive introduction to statistics for business and economics. It will help learners develop the skills needed to collect, analyze, and interpret data to make better business decisions.

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