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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
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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.
Read more
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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Save Business Modeling Tools to your list so you can find it easily later:
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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 Business Modeling Tools with these
activities:
Review Microsoft Excel
Show steps
Review basic Microsoft Excel skills, including data entry, formatting, and formulas.
Browse courses on
Microsoft Excel
Show steps
-
Visit Microsoft website for beginner Excel tutorials or refreshers
-
Create a spreadsheet with sample data
-
Practice entering data, formatting cells, and creating formulas
Review introductory statistics
Show steps
Gather notes or course materials on introductory statistics to get refresher on topics like probability and hypothesis testing.
Show steps
-
Gather course materials from previous course
-
Review key concepts on probability, distributions, and sampling
-
Practice exercises on hypothesis testing
Compile course materials
Show steps
Consolidate and organize lecture notes, assignments, quizzes, and other course materials for easy reference and review.
Show steps
-
Gather all course materials
-
Organize materials by topic or module
-
Create a system for easy retrieval of materials
Six other activities
Expand to see all activities and additional details
Show all nine activities
Explore tutorials on regression analysis
Show steps
Utilize resources like YouTube, Coursera, or Udemy to find tutorials on regression analysis and watch them to supplement the course materials.
Show steps
-
Search for tutorials on regression analysis
-
Choose a tutorial that aligns with your level of understanding
-
Take notes on key concepts and examples
Attend a workshop on data analysis
Show steps
Attend a workshop or seminar on data analysis to enhance your understanding and network with professionals in the field.
Browse courses on
Data Analysis
Show steps
-
Research and find a workshop on data analysis
-
Register and attend the workshop
-
Actively participate in discussions and networking
Practice regression problems
Show steps
Find practice problems or quizzes on regression analysis from sources like Statistics How To or Khan Academy and attempt to solve them.
Browse courses on
Regression Analysis
Show steps
-
Find practice problems or quizzes on regression analysis
-
Attempt to solve the problems using the concepts learned in the course
-
Review solutions and identify areas for improvement
Find a mentor
Show steps
Connect with professionals in the field of data analysis or regression analysis to seek guidance and advice beyond the classroom.
Show steps
-
Identify potential mentors through networking or professional organizations
-
Reach out to mentors and express interest in their guidance
-
Set up regular meetings or communication channels
Create a regression analysis case study
Show steps
Apply the regression analysis techniques learned in the course to a real-world business problem and create a presentation or report on your findings.
Browse courses on
Regression Analysis
Show steps
-
Identify a business problem that can be addressed with regression analysis
-
Collect and analyze data relevant to the problem
-
Build a regression model and interpret the results
-
Create a presentation or report summarizing your findings
Mentor other students
Show steps
Offer support and guidance to fellow students by answering questions, sharing resources, or providing feedback on assignments.
Show steps
-
Join study groups or online forums
-
Identify students who may benefit from your help
-
Offer assistance and support in a constructive and encouraging manner
Review Microsoft Excel
Show steps
Review basic Microsoft Excel skills, including data entry, formatting, and formulas.
Browse courses on
Microsoft Excel
Show steps
Show steps
Show steps
- Visit Microsoft website for beginner Excel tutorials or refreshers
- Create a spreadsheet with sample data
- Practice entering data, formatting cells, and creating formulas
Review introductory statistics
Show steps
Gather notes or course materials on introductory statistics to get refresher on topics like probability and hypothesis testing.
Show steps
Show steps
Show steps
- Gather course materials from previous course
- Review key concepts on probability, distributions, and sampling
- Practice exercises on hypothesis testing
Compile course materials
Show steps
Consolidate and organize lecture notes, assignments, quizzes, and other course materials for easy reference and review.
Show steps
Show steps
Show steps
- Gather all course materials
- Organize materials by topic or module
- Create a system for easy retrieval of materials
Six other activities
Expand to see all activities and additional details
Show all nine activities
Explore tutorials on regression analysis
Show steps
Utilize resources like YouTube, Coursera, or Udemy to find tutorials on regression analysis and watch them to supplement the course materials.
Show steps
Show steps
Show steps
- Search for tutorials on regression analysis
- Choose a tutorial that aligns with your level of understanding
- Take notes on key concepts and examples
Attend a workshop on data analysis
Show steps
Attend a workshop or seminar on data analysis to enhance your understanding and network with professionals in the field.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Research and find a workshop on data analysis
- Register and attend the workshop
- Actively participate in discussions and networking
Practice regression problems
Show steps
Find practice problems or quizzes on regression analysis from sources like Statistics How To or Khan Academy and attempt to solve them.
Browse courses on
Regression Analysis
Show steps
Show steps
Show steps
- Find practice problems or quizzes on regression analysis
- Attempt to solve the problems using the concepts learned in the course
- Review solutions and identify areas for improvement
Find a mentor
Show steps
Connect with professionals in the field of data analysis or regression analysis to seek guidance and advice beyond the classroom.
Show steps
Show steps
Show steps
- Identify potential mentors through networking or professional organizations
- Reach out to mentors and express interest in their guidance
- Set up regular meetings or communication channels
Create a regression analysis case study
Show steps
Apply the regression analysis techniques learned in the course to a real-world business problem and create a presentation or report on your findings.
Browse courses on
Regression Analysis
Show steps
Show steps
Show steps
- Identify a business problem that can be addressed with regression analysis
- Collect and analyze data relevant to the problem
- Build a regression model and interpret the results
- Create a presentation or report summarizing your findings
Mentor other students
Show steps
Offer support and guidance to fellow students by answering questions, sharing resources, or providing feedback on assignments.
Show steps
Show steps
Show steps
- Join study groups or online forums
- Identify students who may benefit from your help
- Offer assistance and support in a constructive and encouraging manner
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.
Save
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.
Save
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.
Save
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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