In this course, you will explore the world of quantitative research methods and data analysis using Excel and R. Whether you’re a student, business owner, or nonprofit professional, you’ll gain practical tools to collect, analyze, and interpret data for meaningful insights. Through engaging lessons and hands-on practice, you’ll learn to confidently apply statistical techniques and ethical considerations in your research projects.



Quantitative Research Methods: Tools for Data Analysis
This course is part of multiple programs.


Instructors: Starweaver
Access provided by The University of Manchester
Recommended experience
What you'll learn
Design a basic quantitative study, including determining research questions, selecting appropriate methods, and implementing data collection.
Perform basic statistical analyses (mean, standard deviation, correlations) using Excel and R.
Interpret descriptive statistical results to support informed decision-making.
Apply ethical considerations and quality checks throughout study design, data collection, and analysis to ensure rigor and reliability.
Skills you'll gain
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March 2025
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There is 1 module in this course
In this course, you will explore the world of quantitative research methods and data analysis using Excel and R. Whether you’re a student, business owner, or nonprofit professional, you’ll gain practical tools to collect, analyze, and interpret data for meaningful insights. Through engaging lessons and hands-on practice, you’ll learn to confidently apply statistical techniques and ethical considerations in your research projects.
What's included
13 videos5 readings4 assignments1 peer review3 plugins
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