Many decisions rely on data, but getting started with analysis can feel daunting. This course provides a clear, beginner-friendly path to understanding and applying fundamental data analysis techniques. By the end of this course, you will be able to confidently handle datasets, perform common statistical tests, and present your findings using two widely-used tools: Excel for data management and Jamovi for statistical analysis. You will transform raw data into actionable insights.
What you'll learn:
* Understand fundamental data types, measurement scales, and core statistical terminology.
* Prepare and clean raw datasets in Excel, ensuring data quality and readiness for analysis.
* Perform descriptive statistics to summarize data and visualize distributions in Jamovi.
* Conduct common inferential statistical tests, such as t-tests and chi-square tests, using Jamovi.
* Interpret statistical results accurately to draw valid, evidence-based conclusions.
* Apply basic principles of reproducible data analysis by documenting steps and findings.
* Communicate analytical insights clearly and effectively based on your statistical work.
The course begins with essential data concepts and moves into practical data preparation within Excel. You will then explore various statistical analyses in Jamovi, learning how to conduct tests and interpret their results step-by-step. This course is designed for complete beginners with no prior experience in data analysis or statistical software. No prerequisites are required.
Start your journey into practical data analysis today.
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