Coursera

Business Analytics with Excel: Elementary to Advanced

Name: Business Analytics with Excel: Elementary to Advanced
Availability: InStock
Rating: 4.8 (4048 reviews)

4.8(4,048)560k studentsINTERMEDIATEEnglish

Korshub's take

Korshub take

With 560,393 students enrolled, this intermediate course is one of the more heavily-taken business analytics programs around, and for good reason. It treats Excel as a genuine analytical modeling tool, going well beyond formulas into the statistical and operations-research methods that actually drive business decisions.

The course walks through linear and integer optimization, decision analysis, and risk modeling, taking each from basic mechanics through real-world business application. It is built for people who already understand data exists but need the analytical frameworks — regression analysis, resource allocation, financial and mathematical modeling — to turn it into a decision.

Key skills covered

Optimization and decision-analysis techniques applied in Excel
Risk modeling and statistical analysis for real business problems
Building and interpreting financial and mathematical models

A strong pick for analysts, managers, or MBA-track learners who want quantitative decision-making skills, not just dashboards.

About this course

A leader in a data driven world requires the knowledge of both data-related (statistical) methods and of appropriate models to use that data. This Business Analytics class focuses on the latter: it introduces students to analytical frameworks used for decision making though Excel modeling. These include Linear and Integer Optimization, Decision Analysis, and Risk modeling. For each methodology students are first exposed to the basic mechanics, and then apply the methodology to real-world busines

Skills you'll gain: Risk Modeling, Operations Research, Regression Analysis, Microsoft Excel, Business Analytics, Risk Analysis, Business Modeling, Data Modeling, Financial Modeling, Business Analysis, Risk Management, Resource Allocation, Statistical Analysis, Decision Intelligence, Mathematical Modeling.