Data Analysis for Accountants: Statistics

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This course explores the various ways you can use statistics and probability to enhance your role as an accounting and finance professional. Gain an understanding of basic probability functions and testing your hypotheses using Excel.

£100 +VAT

4 CPD hours

120 days’ access

Use ACPD101 for 10% off any purchase.

Data Analysis for Accountants: Statistics

£100 +VAT

4 CPD hours 120 days’ access
Use ACPD101 for 10% off any purchase.

Data Analysis for Accountants: Statistics

This course is not currently available. To find out more, please get in touch.

This course will enable you to

  • Understand the basics of probability functions in Excel
  • Use statistics to summarise and describe data you’re working with
  • Learn how to use pivot tables, COUNTIF and HYPGEOM.DIST to count probability
  • Categorise random variables and use binomial distributions and Poisson variables
  • Use Excel tools to select samples, calculate confidence and estimate a population size
  • Test explanations or hypotheses you come up with using Excel

About the course

As accountants, we are all familiar with Excel. However, in a dynamic and ever-changing world, we need to be smarter about how we use the tools we have at our disposal. Using statistics and probability in Excel can help you to enhance your role as an accounting and finance professional. The techniques covered in this course can help you to understand how to use statistics to summarise and properly describe the data with which you’re working.

You will cover the basics of probability, so that you can understand how to predict more accurately the likelihood of certain business outcomes. You’ll also touch on the various issues you might discover related to sample size and then how to test explanations or hypotheses that you come up with.

Contents

Descriptive statistics

Descriptive statistics in Excel
Histograms
Box plots
Categorical and numerical data
Summarising categorical data with PivotTables
Categorical data and PivotTables
Formulas for descriptive statistics
RANK, LARGE and SMALL
Geometric mean

Basic probability

COUNTIF
The law of complements
Independent and mutually exclusive events
Conditional probability
HYPGEOM.DIST
Joint probability PivotTable

Random variables

What are random variables?
Binomial distribution
Poisson variables
Normal distribution

Basics of sampling

Populations and samples
CONFIDENCE.NORM and CONFIDENCE.T
Population size

Hypothesis testing

Z-tests
What is a t-test?
Correlation
Two sample Z-test

How it works

Author

Paula Guilfoyle

Paula Guilfoyle

Paula practiced in Industry for over 15 years, working with both small and large private companies, before moving on to teach Excel and Power BI to accountants and professionals.