Data Analysis for Managerial Decision-Making
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Data Analysis for Managerial Decision-Making
This course is part of Business Finance and Data Analysis Fundamentals Specialization
Instructor: James Weston
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19 reviews
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Skills you'll gain
- Excel Formulas
- Spreadsheet Software
- Statistical Visualization
- Mathematical Theory & Analysis
- Box Plots
- Data Visualization
- Business Mathematics
- Descriptive Statistics
- Data-Driven Decision-Making
- Statistics
- Probability & Statistics
- Case Studies
- Plot (Graphics)
- Algebra
- Statistical Methods
- Arithmetic
- Bayesian Statistics
- Probability Distribution
- Probability
Tools you'll learn
Details to know
35 assignments
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There are 5 modules in this course
This course will equip students with the quantitative skills needed to begin any Masters of Business Administration program. The goal is not to build foundational skills or expert mastery but rather, to provide some middle ground to βshake the rust offβ skills that a typical MBA student probably knows, but may not have thought about for quite some time. The course provides a quick refresher on top level math and statistics concepts that will be used throughout the MBA curriculum at any school. All of the concepts will be reinforced with practical real-world examples. All calculations, formulas, and data analysis will be performed in Excel, with many detailed demonstrations. For those unfamiliar or less comfortable with spreadsheets, the course will also prepare students with a basic facility for using spreadsheets to solve quantitative business problems. This course has no prerequisites and is intended for any audience.
What's included
3 videos3 readings1 discussion prompt
3 videosβ’Total 10 minutes
- About the Specializationβ’6 minutes
- Meet the Professorβ’1 minute
- About this Courseβ’3 minutes
3 readingsβ’Total 30 minutes
- General Keys to Success in an Online Courseβ’10 minutes
- Discussion Forum Guidelinesβ’10 minutes
- Accessibility and Accommodations Statementβ’10 minutes
1 discussion promptβ’Total 10 minutes
- Introduce Yourselfβ’10 minutes
This module sets up the basic foundations in mathematics. We cover negative numbers, functional analysis, and logarithms.
What's included
11 videos11 assignments1 discussion prompt
11 videosβ’Total 102 minutes
- Weekly with Weston... and Rountreeβ’2 minutes
- Negative Numbersβ’11 minutes
- Order of Operationsβ’10 minutes
- Exponents and Rootsβ’17 minutes
- Logarithms - Basicsβ’5 minutes
- Logarithms - Properties and Examplesβ’14 minutes
- The Natural Logβ’12 minutes
- Introduction to Functionsβ’6 minutes
- Quadratic Functionsβ’10 minutes
- More Complicated Functions and Propertiesβ’9 minutes
- Functions of Many Variablesβ’5 minutes
11 assignmentsβ’Total 130 minutes
- Knowledge Check: Negative Numbersβ’10 minutes
- Knowledge Check: Order of Operationsβ’10 minutes
- Knowledge Check: Exponents and Rootsβ’10 minutes
- Knowledge Check: Basics of Logarithmsβ’10 minutes
- Knowledge Check: Properties of Logarithmsβ’10 minutes
- Knowledge Check: Natural Logarithmsβ’10 minutes
- Knowledge Check: Functionsβ’10 minutes
- Knowledge Check: Quadratic Functionβ’10 minutes
- Knowledge Check: Functions and Propertiesβ’10 minutes
- Knowledge Check: Functions of Many Variablesβ’10 minutes
- Week 1 Quizβ’30 minutes
1 discussion promptβ’Total 10 minutes
- Last Time I used a Log, it was for Kindlin'β’10 minutes
This module continues to build on mathematical skills including systems of equations and limits. We also introduce basic data descriptions and visualizations using a spreadsheet program.
What's included
12 videos9 assignments1 discussion prompt
12 videosβ’Total 99 minutes
- Weekly with Weston... and Rountreeβ’2 minutes
- Changes in Growth Ratesβ’12 minutes
- Systems of Equationsβ’14 minutes
- Systems of Equations - Exampleβ’6 minutes
- Breakeven Analysisβ’7 minutes
- Series and Limitsβ’14 minutes
- Describing and Using Data Overviewβ’5 minutes
- Measures of Central Tendencyβ’7 minutes
- Measures of Spread and Dispersionβ’14 minutes
- Looking for Data - Whisker Chartsβ’10 minutes
- Scatterplots and Relationshipsβ’4 minutes
- Making Histograms in Excelβ’5 minutes
9 assignmentsβ’Total 110 minutes
- Knowledge Check: Changes and Growth Ratesβ’10 minutes
- Knowledge Check: Systems of Equations β’10 minutes
- Knowledge Check: Series and Limitsβ’10 minutes
- Knowledge Check: Measures of Central Tendencyβ’10 minutes
- Knowledge Check: Measures of Spread & Dispersionβ’10 minutes
- Knowledge Check: Whisker Chartsβ’10 minutes
- Knowledge Check: Scatterplots and Relationshipsβ’10 minutes
- Knowledge Check: Histograms in Excelβ’10 minutes
- Week 2 Quizβ’30 minutes
1 discussion promptβ’Total 10 minutes
- What's so Standard About Deviations Anyway?β’10 minutes
This module covers the basics concepts of statistics, we touch on bell curves, hypothesis testing, confidence intervals, and linear regression. All examples are done with a practical approach and using a spreadsheet program to do all the math.
What's included
16 videos14 assignments1 discussion prompt
16 videosβ’Total 158 minutes
- Weekly with Weston... and Rountreeβ’3 minutes
- Basic Probability Postulatesβ’12 minutes
- Conditional Probabilityβ’12 minutes
- Distribution as a Benchmarkβ’14 minutes
- Distribution as a Benchmark - Exampleβ’5 minutes
- The Normal Distributionβ’13 minutes
- The Normal Distribution - Examplesβ’8 minutes
- Confidence Interval and Margin of Errorβ’12 minutes
- Confidence Interval and Margin of Error - Exampleβ’3 minutes
- Hypothesis Testsβ’13 minutes
- Statistical Significanceβ’11 minutes
- Demystifying Data Analyticsβ’4 minutes
- Demystifying Data Analytics (Advanced)β’19 minutes
- Classification Modelsβ’7 minutes
- Conjoint Analysisβ’6 minutes
- AI and Machine Learningβ’16 minutes
14 assignmentsβ’Total 155 minutes
- Knowledge Check: Probability Postulatesβ’10 minutes
- Knowledge Check: Conditional Probabilityβ’10 minutes
- Knowledge Check: Distribution as a Benchmarkβ’10 minutes
- Knowledge Check: The Normal Distributionβ’10 minutes
- Knowledge Check: The Normal Distribution Examplesβ’10 minutes
- Knowledge Check: Confidence Interval and Margin of Errorβ’10 minutes
- Knowledge Check: Hypothesis Testsβ’10 minutes
- Knowledge Check: Statistical Significanceβ’10 minutes
- Knowledge Check: Demystifying Data Analyticsβ’10 minutes
- Knowledge Check: Demystifying Data Analytics (Advanced)β’10 minutes
- Knowledge Check: Classification Modelsβ’5 minutes
- Knowledge Check: Conjoint Analysisβ’10 minutes
- Knowledge Check: AI and Machine Learningβ’10 minutes
- Week 3 Quizβ’30 minutes
1 discussion promptβ’Total 10 minutes
- What's all the Hype with Machine Learning?β’10 minutes
This module includes a series of practical cases studies. No new material is introduced, the focus is on putting into practice what we've learned!
What's included
7 videos7 readings1 assignment1 discussion prompt
7 videosβ’Total 42 minutes
- Weekly with Weston... and Rountreeβ’2 minutes
- Plane Ups and Downs Solutionβ’7 minutes
- Rountree He-Haw BBQ - Solutionβ’8 minutes
- SquareTree Corp - Solutionβ’3 minutes
- Uncle Dave - Solutionβ’9 minutes
- Houston Foodmart - Solutionβ’10 minutes
- Mr. Keith - Solutionβ’4 minutes
7 readingsβ’Total 205 minutes
- About This Sectionβ’10 minutes
- Case Study 1 - Plane Ups and Downsβ’30 minutes
- Case Study 2 - Rountree He-Haw BBQβ’30 minutes
- Case Study 3 - SquareTree Corpβ’30 minutes
- Case Study 4 - Uncle Daveβ’30 minutes
- Case Study 5 - Houston Foodmartβ’45 minutes
- Case Study 6 - Mr. Keithβ’30 minutes
1 assignmentβ’Total 45 minutes
- Finalβ’45 minutes
1 discussion promptβ’Total 10 minutes
- Nothin to it, but to do itβ’10 minutes
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Reviewed on Dec 19, 2025
very interesting and tough course really struggled to complete but the labor done is worth
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