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Business Modeling Tools
Alton Henley
Alton Henley
This course introduces learners to the Data Analysis tools in Microsoft Excel. More specifically, learners will focus on how to build and use single regression and multiple regression to solve business problems.
Register for this course and see more details by visiting:
OpenCourser.com/course/dmgmlq/business
What's inside
Syllabus
Introduction to Business Modeling Tools
This module explains how to install the Data Analysis Toolpak in Microsoft Excel. It will also introduce regression as an important tool to help forecast and solve business problems.
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Syllabus
Introduction to Business Modeling Tools
This module explains how to install the Data Analysis Toolpak in Microsoft Excel. It will also introduce regression as an important tool to help forecast and solve business problems.
Read more
Introduction to Regression
This module describes how to build and run a regression in Microsoft Excel. In addition, it provides practice problems for using regression analysis to solve business problems.
Multivariate Regression
This module introduces how to run multiple regression in Microsoft Excel and provides business problem examples to practice using multivariate regression.
Regression Business Case Problem
This module demonstrates how to combine spreadsheet modeling with data analysis tools to solve a business case problem.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches how to use Microsoft Excel's Data Analysis Toolpak, which is frequently used for business analysis and forecasting
Suitable for learners with some background in business or data analysis
Provides practical examples and practice problems to reinforce learning
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Activities
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Business Modeling Tools.
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Career center
Learners who complete Business Modeling Tools will develop knowledge and skills
that may be useful to these careers:
Statistician
Statistician
A Statistician collects, analyzes, and interprets data to provide insights and make predictions. This course can help build a foundation in data analysis and regression, which are essential skills for Statisticians.
Quantitative Analyst
Quantitative Analyst
A Quantitative Analyst uses mathematical and statistical methods to analyze financial data and make investment recommendations. This course can help build a foundation in data analysis and regression, which are essential skills for Quantitative Analysts.
Data Analyst
Data Analyst
A Data Analyst analyzes and interprets data to identify trends and insights that can help businesses make better decisions. This course can help build a foundation in data analysis and regression, which are essential skills for Data Analysts.
Actuary
Actuary
An Actuary assesses and manages financial risks. This course may be useful as it provides a foundation in data analysis and regression, which are essential for understanding and managing financial risks.
Economist
Economist
An Economist studies economic data and trends to make predictions about the future. This course may be useful as it provides a foundation in data analysis and regression, which are essential for understanding and interpreting economic data.
Operations Research Analyst
Operations Research Analyst
An Operations Research Analyst uses mathematical and analytical methods to improve the efficiency and effectiveness of business operations. This course may be useful as it provides a foundation in data analysis and regression, which are essential for analyzing and optimizing operational data.
Supply Chain Manager
Supply Chain Manager
A Supply Chain Manager plans and manages the flow of goods and services from suppliers to customers. This course may be useful as it provides a foundation in data analysis and regression, which can help Supply Chain Managers to better understand and optimize their supply chains.
Business Analyst
Business Analyst
A Business Analyst analyzes and improves business processes. This course can be useful as it provides a foundation in data analysis and regression, which can help Business Analysts to better understand business data and make informed recommendations.
Risk Analyst
Risk Analyst
A Risk Analyst identifies and assesses risks that could impact a business. This course may be useful as it provides a foundation in data analysis and regression, which can help Risk Analysts to better understand and manage risks.
Operations Manager
Operations Manager
An Operations Manager plans and directs the operations of a business. This course may be useful as it provides a foundation in data analysis and regression, which can help Operations Managers to better understand and improve their operations.
Financial Planner
Financial Planner
A Financial Planner helps individuals and families plan and manage their finances. This course may be useful as it provides a foundation in data analysis and regression, which can help Financial Planners to better understand financial data and make informed recommendations.
Market Researcher
Market Researcher
A Market Researcher conducts research and analysis to understand market trends and consumer behavior. This course may be useful as it provides a foundation in data analysis and regression, which are essential for understanding and interpreting market data.
Project Manager
Project Manager
A Project Manager plans and executes projects. This course may be useful as it provides a foundation in data analysis and regression, which can help Project Managers to better understand and manage project data.
Management Consultant
Management Consultant
A Management Consultant provides advice and assistance to businesses on how to improve their operations and achieve their goals. This course may be useful as it provides a foundation in data analysis and regression, which can help Management Consultants to better understand business data and make informed recommendations.
Financial Analyst
Financial Analyst
A Financial Analyst analyzes financial data and trends to make investment recommendations and provide financial advice to clients. This course can be useful as it provides a foundation in data analysis and regression, which are commonly used to analyze financial data and make informed decisions.
For more career information including salaries, visit:
OpenCourser.com/course/dmgmlq/business
Reading list
We've selected 11 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
Business Modeling Tools.
Provides a comprehensive overview of data analysis techniques using Microsoft Excel. It covers a wide range of topics, from data cleaning and preparation to statistical analysis and visualization.
Provides a practical guide to business modeling using Microsoft Excel. It covers a wide range of topics, from financial modeling to project management.
Provides a beginner-friendly guide to data analysis using Microsoft Excel. It covers all the essential concepts, from data cleaning and preparation to statistical analysis and visualization.
Provides a detailed guide to regression modeling using the R programming language. It covers all the essential concepts, from simple linear regression to multiple regression and logistic regression.
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Provides a practical guide to data analysis and business modeling using the Python programming language. It covers a wide range of topics, from data visualization to predictive modeling.
Provides a practical guide to regression analysis using real-world examples. It covers all the essential concepts, from simple linear regression to multiple regression and logistic regression.
Provides a comprehensive overview of statistical modeling techniques. It covers a wide range of topics, from probability theory to Bayesian statistics.
Provides a comprehensive overview of statistical learning techniques. It covers a wide range of topics, from supervised learning to unsupervised learning.
Provides a practical guide to machine learning using the R programming language. It covers a wide range of topics, from data preprocessing to model evaluation.
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Provides a practical guide to data mining using the R programming language. It covers a wide range of topics, from data preprocessing to model evaluation.
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Provides a beginner-friendly guide to the R programming language. It covers all the essential concepts, from R syntax to data analysis.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/dmgmlq/business
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Level
Intermediate
Via
Coursera
Institution
Howard University
Instructor
Alton Henley
Language
English
This course belongs to a
collection
called
Business Problem Solving. It's comprised of three courses:
- Business Modeling Tools (viewing)
- Fundamentals of Business Problem Solving
- Solving Business Problems with Spreadsheet Modeling
Good to know
Teaches how to use Microsoft Excel's Data Analysis Toolpak, which is frequently used for business analysis and forecasting
Suitable for learners with some background in business or data analysis
Provides practical examples and practice problems to reinforce learning
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