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Statistics with Excel

Statistics with Excel

Practical Data Analysis and Statistical Techniques Using Microsoft Excel
Created byBISP Solutions
Last updated 12/2025
English

What you'll learn

  • Understand fundamental statistical concepts, including descriptive statistics, probability, and basic inferential statistics, using Microsoft Excel as the prima
  • Analyze and summarize datasets in Excel by applying statistical functions, formulas, PivotTables, and charts to identify patterns and trends.
  • Perform statistical tests and data analysis techniques such as correlation, regression, hypothesis testing, and confidence intervals using Excel tools and add-i
  • Interpret and communicate statistical results effectively through clear visualizations and reports in Excel to support data-driven decision-making.

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Course content

19 sections • 19 lectures • 2h 36m total length

  • Excel Binomial Distribution7:53

Requirements

  • Basic Mathematics Knowledge
  • asic Computer Skills
  • Introductory Knowledge of Microsoft Excel
  • Interest in Data Analysis

Description

The Statistics with Excel course is designed to provide learners with a practical and accessible approach to understanding and applying statistical concepts using Microsoft Excel. This course focuses on building a strong foundation in statistics while demonstrating how Excel can be used as a powerful tool for data analysis, visualization, and decision-making. It is ideal for learners who want to analyze data effectively without the need for complex programming or advanced statistical software.

Throughout the course, participants will learn key statistical concepts such as descriptive statistics, measures of central tendency, variability, probability, and basic inferential statistics. The course emphasizes hands-on learning, guiding learners through real-world examples and exercises using Excel functions, formulas, PivotTables, and charts. Participants will also explore data analysis techniques such as correlation, regression, hypothesis testing, and confidence intervals, applying them directly within Excel.

In addition to analysis, the course focuses on interpreting and communicating results clearly. Learners will learn how to create meaningful visualizations and reports that present statistical findings in a clear and business-friendly manner. The course also introduces Excel’s data analysis tools and add-ins to enhance efficiency and accuracy.

By the end of the course, learners will be able to confidently analyze datasets, perform essential statistical tests, and draw meaningful conclusions using Excel. This course is well suited for students, business professionals, and anyone seeking to strengthen their data analysis and statistical skills in a practical, real-world context.

Who this course is for:

  • ideal for students and beginners who are new to statistics and want to understand data analysis without requiring advanced programming skills. It is also well suited for business professionals, analysts, and managers who regularly work with data and need to interpret numbers, trends, and performance metrics to support decision-making.
  • The course is valuable for accounting, finance, marketing, operations, and HR professionals who use Excel for reporting and want to enhance their analytical capabilities by applying statistical techniques. Researchers, educators, and academic learners who need to analyze datasets for studies or projects will also benefit from this course.
  • professionals transitioning into data analysis or business intelligence roles can use this course as a strong foundation for understanding statistics in a practical context

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