In today's data-driven world, the ability to analyse and interpret complex data is crucial for making informed, strategic decisions. This comprehensive online course will empower you with advanced statistical techniques to transform raw data into actionable insights, using Microsoft Excel.
Excel Skills for Statistics and Data Analysis: Intermediate
Excel Skills for Statistics and Data Analysis: Intermediate
Instructor: Assoc Prof Prashan S. M. Karunaratne
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Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
12 hours to complete
3 weeks at 4 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Analyse and evaluate data using advanced statistical methods.
Synthesise and interpret inferential statistics for predictive analysis.
Design and develop interactive data visualisations.
Integrate Excel functions and Data Analysis ToolPak for professional applications.
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Recently updated!
May 2025
Assessments
9 assignments
Taught in English
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There are 7 modules in this course
Welcome to Excel Skills for Statistics and Data Analysis - Intermediate! In this module, we will go through why you need to study this course and what skills you will gain. Additionally, we will go through how the course is structured, and the resources you have along the way. We can't wait to see you further your knowledge in Excel Skills for Statistics and Data Analysis!
What's included
1 video2 readings1 discussion prompt
In this module, we will cover the Pivot Tables and Pivot Charts. We will be looking at how we can generate useful numerical summaries from large data sets.
What's included
7 videos5 readings2 assignments1 discussion prompt
In this module, we will be looking at categorical data. We will also explore statistical techniques and tests to infer whether we have any significant patterns in our distributions of categorical variables.
What's included
3 videos4 readings2 assignments1 discussion prompt
In this module, we will explore the statistical tools and techniques that are available when we are comparing and contrasting two sets of data.
What's included
4 videos5 readings2 assignments1 discussion prompt
In this module, we explore the statistical tools and techniques that are available when we have Correlated data sets and when we have a Cause and Effect relationship between two data sets.
What's included
9 videos6 readings2 assignments1 discussion prompt
The course wrap-up involves bringing everything together in the final assignment. Make sure you have attempted each of the Practice Assignments in previous modules before you attempt this Final Assignment. Ensure you understand the assignment requirements to complete it successfully. You've got this!
What's included
1 reading1 assignment
The material in this section consists of a series of Toolboxes. While the material covered in these Toolboxes is not necessarily related to Statistics - these Toolboxes will help you expand your tools and techniques in Microsoft Excel. To further your skills in Microsoft Excel in domains beyond Statistics, you may want to consider our other courses and specializations: Excel Skills for Business. Excel Skills for Data Analytics and Visualization, Excel Skills for Business Forecasting
What's included
8 readings
Instructor
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