Math for MBA and GMAT Prep
Offered By: Emory University via Coursera
Course Description
Overview
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.
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.
- 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.
Taught by
Thomas Smith
Tags
Related Courses
Accounting Data AnalyticsUniversity of Illinois at Urbana-Champaign via Coursera Анализ данных
Novosibirsk State University via Coursera Applying Data Analytics in Marketing
University of Illinois at Urbana-Champaign via Coursera Big Data: procesamiento y análisis
Universitat Autònoma de Barcelona (Autonomous University of Barcelona) via Coursera Big Data Capstone Project
University of Adelaide via edX