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Statistics and Data Analysis with Excel: Essentials

Statistics and data analysis involve collecting, analysing, interpreting and presenting data to stakeholders to enhance their decision-making. Statistics is...

By Assoc Prof Prashan S. M. Karunaratne on Coursera

About This Course

Statistics and data analysis involve collecting, analysing, interpreting and presenting data to stakeholders to enhance their decision-making. Statistics is all about making sense of numbers and finding patterns in the data - in business, health, sports, science, the arts, and more. Statistics can be divided into two main branches, descriptive statistics and inferential statistics. Descriptive Statistics summarise and describe the features of a data set. Inferential Statistics allow us to make predictions or inferences about a population based on a sample of data that we have access to. In this course, you will be equipped with the tools and techniques to transform your data into meaningful output to drive insights for your work and your organisation. We will explore both Descriptive Statistics as well as Inferential Statistics.

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Frequently Asked Questions

How much does Statistics and Data Analysis with Excel: Essentials cost?

Visit the Statistics and Data Analysis with Excel: Essentials course page for current pricing and available discounts.

Who teaches Statistics and Data Analysis with Excel: Essentials?

Statistics and Data Analysis with Excel: Essentials is taught by Assoc Prof Prashan S. M. Karunaratne, Macquarie University.

What skill level is Statistics and Data Analysis with Excel: Essentials for?

This course is designed for all levels learners.

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Students0
DurationSelf-paced
LevelAll Levels
Languageen
PlatformCoursera