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 “shake the rust off” 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.

Data Analysis for Managerial Decision-Making

Data Analysis for Managerial Decision-Making
This course is part of Business Finance and Data Analysis Fundamentals Specialization

Instructor: James Weston
Access provided by L&T Corp - ATLNext
4,492 already enrolled
Gain insight into a topic and learn the fundamentals.
17 reviews
Beginner level
Recommended experience
2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Skills you'll gain
- Arithmetic
- Correlation Analysis
- Case Studies
- Quantitative Research
- Box Plots
- Spreadsheet Software
- Data Analysis
- Probability & Statistics
- Business Analytics
- Statistics
- Business Mathematics
- Probability Distribution
- Data Visualization
- Algebra
- Descriptive Statistics
- Data-Driven Decision-Making
- Probability
- Statistical Analysis
- Bayesian Statistics
Tools you'll learn
Details to know

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Assessments
35 assignments
Taught in English
See how employees at top companies are mastering in-demand skills

Build your subject-matter expertise
This course is part of the Business Finance and Data Analysis Fundamentals Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 5 modules in this course
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KT
Reviewed on Dec 19, 2025
very interesting and tough course really struggled to complete but the labor done is worth
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