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Mastering Data Analysis in Excel
This course focuses on essential data analysis using Excel. Learn to design and implement realistic predictive models to reduce uncertainty for informed business decisions. In a hands-on project, you'll act as a business data analyst, building models to assess credit card applications, minimize default risk and maximize bank profits. You'll master key uncertainty measures like classification error rates, entropy of information, and confidence intervals for linear regression. Assignments use data provided within the course and basic Excel functions, ensuring fluency for future business applications. No prior knowledge of advanced Excel features (Visual Basic, Pivot Tables) is required. The Excel and data analysis skills you will learn will enable you to apply business data analysis methods based on binary classification, information theory and entropy measures, and linear regression, and prepare you for roles such as a business data analyst.
Duration
5 Months
Institution
Duke University
Format
Online
Eligibility Criteria
school
Academic Foundation
A recognized Bachelor’s degree or high school equivalent required for admission into Duke University.
language
Language Proficiency
English proficiency required. IELTS, TOEFL, or standard medium-of-instruction certificates accepted.
Detailed Fees Breakdown
Base Tuition Fee
$356
Total Est. Investment
$356
Scholarships and early-bird waivers may apply. Contact admissions for exact institutional fees.
Academic Trajectory
Program Outcome
Graduates of the Mastering Data Analysis in Excel program at Duke University are equipped with global perspectives, ready to excel in international markets and top-tier career opportunities.