Quantitative Research Methods: Tools for Data Analysis
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Quantitative Research Methods: Tools for Data Analysis
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Instructors: Starweaver
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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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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.
This course is designed for individuals who are looking to enhance their skills in quantitative research and data analysis. It's ideal for undergraduate students in social or behavioral sciences who need to build a solid foundation in research methods. Entry-level data analysts or interns will also benefit from this course, as it provides practical tools to work with data using Excel and R. Additionally, small business owners seeking to make data-driven decisions and educators or researchers new to quantitative methods will find the content accessible and relevant to their work. To get the most out of this course, learners should have basic computer skills and a general familiarity with spreadsheets (Excel). No advanced statistical knowledge or programming experience is required, as the course starts with the fundamentals and builds up to more complex concepts in an easy-to-understand manner. By the end of this course, you will have a solid foundation in quantitative research methods, including designing studies, analyzing data with Excel and R, and addressing ethical considerations. You’ll be equipped with practical tools to interpret and report your findings confidently. Whether you're diving into research for the first time or enhancing your existing skills, the techniques you've learned here will empower you to approach data with a critical and informed mindset. Keep applying these methods, continue exploring more advanced topics, and watch as your data skills unlock new opportunities for you!
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 assignments
13 videos•Total 72 minutes
- Introduction and Welcome •3 minutes
- Designing a Strong Study Framework•6 minutes
- Collecting Data Effectively and Efficiently•5 minutes
- Handling Data Ethically and Securely•5 minutes
- Importing & Cleaning Data in Excel•7 minutes
- Calculate Basic Descriptive Metrics (Mean, SD)•4 minutes
- Visualize Data and Identify Trends•9 minutes
- Compute Correlation & Run Simple Analysis in Excel•6 minutes
- Setting Up R & Loading Data•7 minutes
- Running Basic Stats in R •9 minutes
- Ensure Ethical Data Analysis & Avoid Biases in Code•5 minutes
- Ensuring Quality Control & Reporting Findings •5 minutes
- Congratulations and Continuous Learning Journey •2 minutes
5 readings•Total 25 minutes
- Course Overview•5 minutes
- Ensuring Ethics & Data Quality in Research•5 minutes
- Quick Guide to Excel Data Analysis•5 minutes
- R Basics Cheat Sheet•5 minutes
- Hands On Learning (HOL): R Studio Mini Project •5 minutes
4 assignments•Total 110 minutes
- Quantitative Research Methods: Tools for Data Analysis•20 minutes
- Planning Your Study Parameters•30 minutes
- Sales Data Analysis in Excel•30 minutes
- Beginner’s Data Project•30 minutes
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Frequently asked questions
In this course, the quantitative research workflow means turning a measurable question into a simple study, structured data, and clear statistical results. The focus is on a repeatable process that includes study design, basic analysis, interpretation, and ethical handling of data.
You would use this workflow when you need to answer a question with data rather than rely on informal impressions alone. The course applies it to situations where you need to define variables, choose a data collection method, and interpret descriptive results for informed decision-making.
It links the early work of defining a research question and selecting a method with the later work of cleaning, analyzing, and reporting data. In this course, the point is to connect those stages so the findings are consistent, interpretable, and easier to verify.
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