This comprehensive course is tailored specifically for data analysts, business professionals, and anyone looking to significantly enhance their proficiency in Microsoft Excel for complex data analysis tasks. By exploring a wide range of advanced Excel features and techniques, participants will gain the ability to analyze and interpret data to make informed business decisions.



Advanced Quantitative Statistics with Excel
This course is part of multiple programs.


Instructors: Diogo Resende
Access provided by Georgetown University
2,233 already enrolled
Recommended experience
Recommended experience
What you'll learn
Practice with Excel's Analysis ToolPak to perform advanced statistical analysis.
Evaluate various hypothesis tests within Excel, including t-tests and ANOVA.
Analyze business problems with the use of Excel to conduct simple and multiple regression analyses
Skills you'll gain
- Analytics
- Business Analytics
- Data Presentation
- Data Analysis Software
- Business Analysis
- Microsoft Excel
- Data Analysis
- Variance Analysis
- Statistical Methods
- Data-Driven Decision-Making
- Data Manipulation
- Statistical Hypothesis Testing
- Probability & Statistics
- Correlation Analysis
- Excel Formulas
- Statistical Analysis
- Data Visualization
- Business Intelligence
- Spreadsheet Software
- Regression Analysis
Details to know

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There is 1 module in this course
This comprehensive course is tailored specifically for data analysts, business professionals, and anyone looking to significantly enhance their proficiency in Microsoft Excel for complex data analysis tasks.
What's included
16 videos4 readings3 assignments3 plugins
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