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LinkedIn Learning

Excel 2007: Business Statistics

via LinkedIn Learning

Overview

Unlock the power of your organization's data. Learn how to perform data analysis in Microsoft Excel.

Syllabus

Introduction
  • Analyze your data effectively
  • What you should know before starting
1. Foundational Concepts of Data Analysis
  • Calculate mean and median values
  • Measure maximums, minimums, and other data characteristics
  • Analyze data using variance and standard deviation
  • Introduce the central limit theorem
  • Analyze a population using data samples
  • Identify and minimize sources of error
  • Challenge: Summarize and analyze business data
  • Solution: Summarize and analyze business data
2. Visualizing Data
  • Group data using histograms
  • Identify relationships using XY scatter charts
  • Visualize data using logarithmic scales
  • Add trendlines to charts
  • Forecast future results
  • Calculate running averages
  • Challenge: Summarize operational data visually
  • Solution: Summarize operational data visually
3. Testing a Hypothesis
  • Formulate a hypothesis
  • Interpret the results of your analysis
  • Consider the limits of hypothesis testing
  • Challenge: Formulate and test a hypothesis
  • Solution: Formulate and test a hypothesis
4. Utilizing Data Distributions
  • Use the normal distribution
  • Use a uniform distribution
  • Use the exponential distribution
  • Use the Poisson distribution
  • Use the binomial distribution
  • Challenge: Model operational data using distributions
  • Solution: Model operational data using distributions
5. Measuring Covariance and Correlation
  • Visualize what covariance means
  • Calculate covariance between two columns of data
  • Calculate covariance among multiple pairs of columns
  • Visualize what correlation means
  • Calculate the correlation between two columns of data
  • Calculate correlation among multiple pairs of columns
  • Challenge: Calculate correlations between columns of data
  • Solution: Calculate correlations between columns of data
6. Calculating Probabilities, Combinations, and Permutations
  • Calculate simple probabilities
  • Calculate compound probabilities
  • Calculate expected value
  • Calculate permutations without duplication
  • Calculate permutations with duplication
  • Calculate combinations without duplication
  • Calculate combinations with duplication
  • Challenge: Calculate the expected value of a business scenario
  • Solution: Calculate the expected value of a business scenario
7. Performing Bayesian Analysis
  • Introduce Bayesian analysis
  • Analyze a sample problem: Kahneman’s Cabs
  • Create a classification matrix
  • Calculate Bayesian probabilities in Excel
  • Challenge: Perform a Bayesian analysis
  • Solution: Perform a Bayesian analysis
Conclusion
  • Additional resources

Taught by

Curt Frye

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