MC06: R Masterclass
Our R Masterclass introduces you to one of the most powerful languages for statistical analysis and data visualisation. Designed for beginners and intermediate learners, this workshop equips you with the skills to explore, analyse, and communicate insights using R’s essential libraries like tidyverse, ggplot2, and dplyr.
Introduction to R for Data Analytics
Introduction to R for Data Analytics
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Overview of R’s capabilities and role in data science.
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Setting up RStudio and exploring the R environment.
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Writing your first R script: Understanding syntax, data types, and objects.
Data Manipulation with dplyr
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Cleaning, filtering, and transforming data using tidyverse functions.
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Summarising and aggregating datasets efficiently.
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Hands-on activity: Cleaning and shaping a messy dataset.
Data Visualisation with ggplot2
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Creating bar charts, line graphs, and scatterplots using ggplot2.
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Customising themes, labels, and colour palettes for clear storytelling.
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Practice session: Visualising business trends and performance metrics.
Statistical Analysis with R
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Performing descriptive and inferential statistics using built-in functions.
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Applying correlation, regression, and hypothesis testing in R.
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Practice session: Interpreting statistical outputs for business insights.
Real-World Application Project
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Apply all concepts to a guided project, such as performing statistical analysis and visualising insights using real-world datasets in R.
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Receive instructor feedback and best-practice guidance for interpreting and presenting analytical findings.