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Excel Statistics Essential Training: 2

Excel Statistics Essential Training: 2

1400/month
Start anytime
Self paced
English
Course by
LinkedIn LearningCourses from LinkedIn Learning
Certificate awarded
Intermediate
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Checklist

Certification

You will get a certificate on completing this course.

University

This course is not affiliated with any university.

Price

This course costs very less.

Edvicer's Rewards

You can get a cashback of ₹ 200 on buying this course.

Discount offer

LinkedIn Learning is providing discount offers with this course - 1 month free trial.Visit www.edvicer.com/offers to find out.

Why should you choose this course?

Description

Data isn’t valuable until you put it to good use. Statistics transforms data into meaningful information, enabling organizations to make better decisions and predictions. That’s why statistics—collecting, analyzing, and presenting data—is a valuable skill for anyone in business or academia. This course, part two of a series, continues your training on the fundamentals of descriptive and inferential statistics. Dr. Joseph Schmuller teaches you how to use the tools in Microsoft Excel—statistical functions, 3D maps and charts, the Ideas tool, and the Analysis Toolpak add-on—to carry out more sophisticated statistical analysis. First, learn to visualize sampling distributions. Next, test differences with analysis of variance (ANOVA). Then, find out how to use linear, multiple, and nonlinear regression to analyze relationships between variables and to make predictions. Joe also shows how to perform advanced correlations, test hypotheses about frequencies, and create and run simulations. Once you complete both courses, you should have the foundational knowledge to ace your next exam or interview and perform statistical analyses in the workplace.

Syllabus

ContentsIntroduction1. Excel Statistics Fundamentals2. Visualizing Sampling Distributions3. ANOVA: A Closer Look4. ANOVA: A Complex Look5. Linear Regression: A Closer Look6. Multiple Regression7. Nonlinear Regression8. Time Series9. Advanced Correlation10. Frequency Hypothesis Testing11. SimulationConclusion

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