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Thomas Smith
This course gives participants a basic understanding of statistics as they apply in business situations. A fair share of students considering MBA programs come from backgrounds that do not include a large amount of training in mathematics and statistics. Often, students find themselves at a disadvantage when they apply for or enroll in MBA programs. This course will give you the tools to understand how these business statistics are calculated for navigating the built-in formulas that are included in Excel, but also how to apply these formulas in an range of business settings and situations.
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What's inside
Syllabus
Introduction
Get to know your professor, Thomas Smith, and introduce yourself.
Descriptive Statistics
This module covers means, medians, modes, standard deviations, and foundational statistics concepts.
Read more
Syllabus
Introduction
Get to know your professor, Thomas Smith, and introduce yourself.
Descriptive Statistics
This module covers means, medians, modes, standard deviations, and foundational statistics concepts.
Read more
Data and Data Visualization: Excel Tools and Techniques
This module presents Excel tools and techniques for data visualization.
Equations and Inverting Equations (Algebra Refresher)
In this module, refresh your algebra skills with equations.
Common Business Concepts
This module covers common business concepts and mathematical applications to business settings.
Calculus and Marginal Analysis in a Business Context
This module will provide an overview of calculus and marginal analysis.
Regression Analysis
This module will provide an overview of regressions and coefficients.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops foundational statistics concepts and Excel skills for business applications
Suitable for students lacking extensive math and statistics background, providing a bridge to MBA programs
Covers essential business statistics concepts, making it suitable for students with varying backgrounds
Includes algebra refresher to enhance participants' mathematical foundation
Provides practical examples and business applications to illustrate statistical concepts
May be less comprehensive for students with strong math and statistics backgrounds
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Save Math for MBA and GMAT Prep to your list so you can find it easily later:
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Reviews summary
Math refresher for mba
Learners say "Math for MBA and GMAT Prep" is a good refresher for learners returning to math or needing to fill gaps in their foundational knowledge. The explanations of basic math concepts such as linear algebra, calculus, and derivatives are clear and engaging, although students with stronger backgrounds in math may find the material basic. Quizzes and a final exam are provided for practice, though students criticize the quality of some questions.
Detailed, engaging explanations of foundational math concepts
"Dr. Smith explained everything so well. His teaching style made even complex concepts understandable very quickly with his ability to tie in real-world examples."
"I am very happy to have completed the course.
Many thanks to Professor T. Smith, Emory University and Coursera!"
"Great explanations, a little bit too basic for MBA purposes"
Some criticism of quiz quality
"Tests that you can guess through endlessly, questions which are only hard because of how unclear the questions are, no feedback on the written assignments to check against, etc."
"The final quiz on linear analysis is the worst one in terms of how poorly the questions and answers were written in my opinion."
"There is no way to see why you got an answer wrong due to lack of feedback"
May be basic for learners with existing math knowledge
"The course in good but I already knew what is taught inside. "
"I feel like there's more to be discussed like statistics as everything in the course is too basic."
"As I finished the course in roughly one day, I find this course to be underwhelming."
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 Math for MBA and GMAT Prep with these
activities:
Start a study group with classmates
Show steps
Collaborate with peers to enhance your understanding and prepare for assessments.
Show steps
-
Identify a group of classmates with similar learning goals.
-
Schedule regular study sessions.
-
Discuss course materials, solve problems, and prepare for exams together.
Read Applied Statistics in Business and Economics
Show steps
Gain a foundational understanding of statistics in a business context by reviewing this comprehensive textbook.
View
Loose-Leaf for Applied Statistics in Business...
on Amazon
Show steps
-
Obtain a copy of the book.
-
Read and review the assigned chapters.
-
Attend book discussion groups or engage in online forums to enhance your understanding.
Form a Study Group
Show steps
Provides Opportunities for Collaboration and Discussion
Show steps
-
Find other students who are taking the course.
-
Meet regularly to discuss the material.
-
Work together on assignments.
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Solve Practice Problems
Show steps
Improves Understanding of Concepts and Formulas
Browse courses on
Descriptive Statistics
Show steps
-
Find practice problems.
-
Attempt to solve the problems
-
Check your answers.
Attend industry conferences and meetups
Show steps
Connect with professionals in the field and learn about the latest trends and applications of statistics in business.
Show steps
-
Identify relevant industry events and meetups.
-
Register for and attend the events.
-
Engage with speakers, attendees, and potential mentors.
Watch YouTube Videos
Show steps
Expands Knowledge Base about Business Applications
Show steps
-
Search for videos on business statistics
-
Watch the videos.
-
Take notes on the key points
Complete online tutorials on advanced statistical techniques
Show steps
Expand your knowledge of statistical techniques that are commonly used in business applications.
Browse courses on
Regression Analysis
Show steps
-
Identify reputable online platforms or courses that offer tutorials on advanced statistical techniques.
-
Choose tutorials that align with your learning objectives.
-
Follow the tutorials and complete the exercises.
Solve business case studies
Show steps
Help solidify your understanding of statistics as they apply to real-world business situations.
Show steps
-
Identify business case studies tailored to your interests.
-
Read the case studies carefully and note the key business concepts and statistical techniques used.
-
Analyze the data and apply the relevant statistical techniques to answer the business questions.
-
Present your findings and recommendations.
Develop a Data Analysis Plan
Show steps
Applies Statistical Techniques to a Real-World Problem
Browse courses on
Regression Analysis
Show steps
-
Identify a business problem.
-
Collect and analyze data.
-
Develop a statistical model.
-
Write a report on your findings.
Develop a statistical model for a business problem
Show steps
Apply your statistical knowledge to a real-world business scenario by developing a statistical model.
Browse courses on
Statistical Modeling
Show steps
-
Define the business problem and identify the relevant data.
-
Choose appropriate statistical techniques and build the model.
-
Validate and test the model.
-
Deploy the model and monitor its performance.
Present your statistical findings to a mock audience
Show steps
Develop your communication and presentation skills while reinforcing your understanding of statistical concepts.
Browse courses on
Presentation Skills
Show steps
-
Prepare your presentation slides and supporting materials.
-
Rehearse your presentation to ensure clarity and impact.
-
Identify a mock audience or practice presenting to a friend or family member.
-
Receive feedback and make improvements to your presentation.
Start a study group with classmates
Show steps
Collaborate with peers to enhance your understanding and prepare for assessments.
Show steps
Show steps
Show steps
- Identify a group of classmates with similar learning goals.
- Schedule regular study sessions.
- Discuss course materials, solve problems, and prepare for exams together.
Read Applied Statistics in Business and Economics
Show steps
Gain a foundational understanding of statistics in a business context by reviewing this comprehensive textbook.
View
Loose-Leaf for Applied Statistics in Business...
on Amazon
Show steps
Show steps
Show steps
- Obtain a copy of the book.
- Read and review the assigned chapters.
- Attend book discussion groups or engage in online forums to enhance your understanding.
Form a Study Group
Show steps
Provides Opportunities for Collaboration and Discussion
Show steps
Show steps
Show steps
- Find other students who are taking the course.
- Meet regularly to discuss the material.
- Work together on assignments.
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Solve Practice Problems
Show steps
Improves Understanding of Concepts and Formulas
Browse courses on
Descriptive Statistics
Show steps
Show steps
Show steps
- Find practice problems.
- Attempt to solve the problems
- Check your answers.
Attend industry conferences and meetups
Show steps
Connect with professionals in the field and learn about the latest trends and applications of statistics in business.
Show steps
Show steps
Show steps
- Identify relevant industry events and meetups.
- Register for and attend the events.
- Engage with speakers, attendees, and potential mentors.
Watch YouTube Videos
Show steps
Expands Knowledge Base about Business Applications
Show steps
Show steps
Show steps
- Search for videos on business statistics
- Watch the videos.
- Take notes on the key points
Complete online tutorials on advanced statistical techniques
Show steps
Expand your knowledge of statistical techniques that are commonly used in business applications.
Browse courses on
Regression Analysis
Show steps
Show steps
Show steps
- Identify reputable online platforms or courses that offer tutorials on advanced statistical techniques.
- Choose tutorials that align with your learning objectives.
- Follow the tutorials and complete the exercises.
Solve business case studies
Show steps
Help solidify your understanding of statistics as they apply to real-world business situations.
Show steps
Show steps
Show steps
- Identify business case studies tailored to your interests.
- Read the case studies carefully and note the key business concepts and statistical techniques used.
- Analyze the data and apply the relevant statistical techniques to answer the business questions.
- Present your findings and recommendations.
Develop a Data Analysis Plan
Show steps
Applies Statistical Techniques to a Real-World Problem
Browse courses on
Regression Analysis
Show steps
Show steps
Show steps
- Identify a business problem.
- Collect and analyze data.
- Develop a statistical model.
- Write a report on your findings.
Develop a statistical model for a business problem
Show steps
Apply your statistical knowledge to a real-world business scenario by developing a statistical model.
Browse courses on
Statistical Modeling
Show steps
Show steps
Show steps
- Define the business problem and identify the relevant data.
- Choose appropriate statistical techniques and build the model.
- Validate and test the model.
- Deploy the model and monitor its performance.
Present your statistical findings to a mock audience
Show steps
Develop your communication and presentation skills while reinforcing your understanding of statistical concepts.
Browse courses on
Presentation Skills
Show steps
Show steps
Show steps
- Prepare your presentation slides and supporting materials.
- Rehearse your presentation to ensure clarity and impact.
- Identify a mock audience or practice presenting to a friend or family member.
- Receive feedback and make improvements to your presentation.
Career center
Learners who complete Math for MBA and GMAT Prep will develop knowledge and skills
that may be useful to these careers:
Statistician
Statistician
Statisticians use statistics to collect, analyze, and interpret data. The Math for MBA and GMAT Prep course from Emory University can help you build a foundation in statistics and data analysis, which are essential skills for Statisticians. This course will also help you develop the analytical and problem-solving skills that are necessary for success in this role.
Data Analyst
Data Analyst
Data Analysts use statistics to make sense of data, identify trends, and make predictions. The Math for MBA and GMAT Prep course from Emory University can help you build a foundation in statistics and data visualization, which are essential skills for Data Analysts. This course will also help you develop the analytical and problem-solving skills that are necessary for success in this role.
Financial Analyst
Financial Analyst
Financial Analysts use statistics to analyze financial data and make recommendations about investments. The Math for MBA and GMAT Prep course from Emory University can help you build a foundation in statistics and data analysis, which are essential skills for Financial Analysts. This course will also help you develop the analytical and problem-solving skills that are necessary for success in this role.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use statistics to develop and implement mathematical models that can be used to make investment decisions. The Math for MBA and GMAT Prep course from Emory University can help you build a foundation in statistics and data analysis, which are essential skills for Quantitative Analysts. This course will also help you develop the analytical and problem-solving skills that are necessary for success in this role.
Business Analyst
Business Analyst
Business Analysts use statistics to analyze business data and make recommendations about how to improve business operations. The Math for MBA and GMAT Prep course from Emory University can help you build a foundation in statistics and data analysis, which are essential skills for Business Analysts. This course will also help you develop the analytical and problem-solving skills that are necessary for success in this role.
Market Researcher
Market Researcher
Market Researchers use statistics to collect and analyze data about consumers and markets. The Math for MBA and GMAT Prep course from Emory University can help you build a foundation in statistics and data analysis, which are essential skills for Market Researchers. This course will also help you develop the analytical and problem-solving skills that are necessary for success in this role.
Chief Financial Officer
Chief Financial Officer
Chief Financial Officers use statistics to analyze financial data and make decisions about how to allocate resources. The Math for MBA and GMAT Prep course from Emory University can help you build a foundation in statistics and data analysis, which are essential skills for Chief Financial Officers. This course will also help you develop the analytical and problem-solving skills that are necessary for success in this role.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use statistics to improve the efficiency of business operations. The Math for MBA and GMAT Prep course from Emory University can help you build a foundation in statistics and data analysis, which are essential skills for Operations Research Analysts. This course will also help you develop the analytical and problem-solving skills that are necessary for success in this role.
Risk Analyst
Risk Analyst
Risk Analysts use statistics to assess and manage risk. The Math for MBA and GMAT Prep course from Emory University can help you build a foundation in statistics and data analysis, which are essential skills for Risk Analysts. This course will also help you develop the analytical and problem-solving skills that are necessary for success in this role.
Management Consultant
Management Consultant
Management Consultants use statistics to analyze business data and make recommendations about how to improve business operations. The Math for MBA and GMAT Prep course from Emory University can help you build a foundation in statistics and data analysis, which are essential skills for Management Consultants. This course will also help you develop the analytical and problem-solving skills that are necessary for success in this role.
Sales Manager
Sales Manager
Sales Managers use statistics to analyze sales data and make decisions about how to target and reach customers. The Math for MBA and GMAT Prep course from Emory University can help you build a foundation in statistics and data analysis, which are essential skills for Sales Managers. This course will also help you develop the analytical and problem-solving skills that are necessary for success in this role.
Marketing Manager
Marketing Manager
Marketing Managers use statistics to analyze marketing data and make decisions about how to target and reach consumers. The Math for MBA and GMAT Prep course from Emory University can help you build a foundation in statistics and data analysis, which are essential skills for Marketing Managers. This course will also help you develop the analytical and problem-solving skills that are necessary for success in this role.
Supply Chain Manager
Supply Chain Manager
Supply Chain Managers use statistics to analyze supply chain data and make decisions about how to improve the efficiency of the supply chain. The Math for MBA and GMAT Prep course from Emory University can help you build a foundation in statistics and data analysis, which are essential skills for Supply Chain Managers. This course will also help you develop the analytical and problem-solving skills that are necessary for success in this role.
Chief Executive Officer
Chief Executive Officer
Chief Executive Officers use statistics to analyze business data and make decisions about how to manage the company. The Math for MBA and GMAT Prep course from Emory University can help you build a foundation in statistics and data analysis, which are essential skills for Chief Executive Officers. This course will also help you develop the analytical and problem-solving skills that are necessary for success in this role.
Product Manager
Product Manager
Product Managers use statistics to analyze product data and make decisions about how to develop and market products. The Math for MBA and GMAT Prep course from Emory University can help you build a foundation in statistics and data analysis, which are essential skills for Product Managers. This course will also help you develop the analytical and problem-solving skills that are necessary for success in this role.
For more career information including salaries, visit:
OpenCourser.com/course/fqx6rp/math
Reading list
We've selected ten 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
Math for MBA and GMAT Prep.
Save
Provides a comprehensive introduction to statistical inference, covering topics such as probability theory, Bayesian statistics, and frequentist statistics.
Save
Provides a rigorous introduction to probability and statistics, covering topics such as probability distributions, hypothesis testing, and regression analysis.
Provides a comprehensive introduction to business and economic statistics, covering topics such as descriptive statistics, probability distributions, hypothesis testing, and regression analysis.
Save
Provides a comprehensive introduction to time series analysis, covering topics such as forecasting, filtering, and model selection.
Provides a comprehensive introduction to risk management and financial institutions, covering topics such as market risk, credit risk, and operational risk.
Provides a rigorous introduction to mathematical statistics, covering topics such as probability theory, estimation, and hypothesis testing.
Provides a practical introduction to statistical methods for finance, covering topics such as risk management, portfolio optimization, and derivative pricing.
Provides a practical guide to regression analysis, covering topics such as model selection, parameter estimation, and hypothesis testing.
Covers the basics of business math, covering topics such as fractions, decimals, percentages, and algebra.
Provides a clear and concise introduction to calculus, covering topics such as limits, derivatives, and integrals.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/fqx6rp/math
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Supply Chain Analytics
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Supply Chain Analytics
Level
Introductory
Via
Coursera
Institution
Emory University
Instructor
Thomas Smith
Language
English
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Good to know
Develops foundational statistics concepts and Excel skills for business applications
Suitable for students lacking extensive math and statistics background, providing a bridge to MBA programs
Covers essential business statistics concepts, making it suitable for students with varying backgrounds
Includes algebra refresher to enhance participants' mathematical foundation
Provides practical examples and business applications to illustrate statistical concepts
May be less comprehensive for students with strong math and statistics backgrounds
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