RStudio Course
Gain expertise in RStudio for statistical analysis: cleanse disorganised data, develop features, execute exploratory data analysis with dplyr and the tidyverse, craft precise ggplot2 visualisations, and produce reproducible, thoroughly documented analyses that convert raw sales data into keen business insights. This comprehensive programme equips participants with practical skills for reliable data workflows and impactful reporting.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
This course teaches you to establish an efficient workflow in RStudio, from processing raw CSV files to deriving actionable insights. Learners will configure projects, import and clean data, correct data types, create features, and manage missing values using dplyr and tidyr. Subsequently, you will conduct exploratory data analysis, produce professional ggplot2 visualisations, perform fundamental statistical tests, and develop fully reproducible scripts and outputs to support swift, assured decision-making.
Elevify advantages
Develop skills
- Clean sales data in R: correct data types, address missing values, and create revenue features.
- Analyse datasets using dplyr: group, summarise, and monitor KPIs through tidy pipelines.
- Visualise business metrics with ggplot2: bar, line, and scatter plots for reports.
- Construct reproducible RStudio projects: organise files, integrate Git, and document processes.
- Perform basic statistical tests in R: correlations, confidence intervals, and key segment insights.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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