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.
Statistics and Data Analysis with Excel: Intermediate
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Statistics and Data Analysis with Excel: Intermediate
This course is part of Statistics and Data Analysis with Excel Specialization
Instructor: Assoc Prof Prashan S. M. Karunaratne
Included with 
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
1 week to complete
at 10 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.
Skills you'll gain
- Microsoft Excel
- Correlation Analysis
- Regression Analysis
- Statistical Hypothesis Testing
- Forecasting
- Descriptive Statistics
- Pivot Tables And Charts
- Spreadsheet Software
- Sampling (Statistics)
- Data Visualization
- Probability & Statistics
- Statistical Analysis
- Statistics
- Data Analysis
- Statistical Inference
- Excel Formulas
- Interactive Data Visualization
Details to know
Shareable certificate
Add to your LinkedIn profile
Recently updated!
May 2025
Assessments
9 assignments
Taught in English
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This course is part of the Statistics and Data Analysis with Excel Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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- Gain a foundational understanding of a subject or tool
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There are 5 modules in this course
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
8 videos7 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 videos7 readings3 assignments1 discussion prompt
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
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Frequently asked questions
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
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