Description
This course provides a robust foundation in using R for data cleaning, statistical analysis, and data visualization. It covers essential topics ranging from basic R functions to advanced statistical techniques, including descriptive and inferential statistics. The curriculum combines theoretical concepts with hands-on coding practice, ensuring students develop both a strong understanding of statistical principles and proficiency in implementing them using R. Interactive exercises and projects reinforce learning, helping students build a comprehensive portfolio of data analysis work.
By the end of the course, students will be equipped with the skills necessary to clean and manipulate data, perform exploratory data analysis, apply appropriate statistical tests, and create compelling visualizations.
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