Basic Statistical Analysis with R
Learn statistical analysis with R! Extract insights from your data using practical techniques. Perfect for data analysis and interpretation.
Course Content
Basic Statistical Analysis with R is a beginner-level Pluralsight course taught by Anand Saravanan. It runs 12m, is taught in English, and includes a certificate of completion. It is a paid course, first published December 2024.
Unlock the power of data analysis with R! This course, Basic Statistical Analysis with R, equips you with essential skills to interpret and derive meaningful insights from your data.
You'll master fundamental statistical methods, including:
- T-tests: Learn to compare means and identify significant differences between groups.
- ANOVA (Analysis of Variance): Assess differences in means across multiple groups.
- Correlation: Understand the strength and direction of relationships between variables.
- P-values: Interpret p-values to determine the statistical significance of your findings.
Through hands-on practice, you'll develop practical skills to:
- Identify trends and patterns in data.
- Draw data-driven conclusions.
- Apply statistical techniques to solve real-world problems.
By the end of this course, you'll gain confidence in using R for data analysis, statistical analysis, and data interpretation. Become proficient in extracting valuable knowledge from your datasets and making informed decisions. This course is perfect for anyone looking to improve their data skills and understand statistical methods using R programming.
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