RStudio Course
Master RStudio for data analysis: transform untidy datasets, create features, execute exploratory analysis with dplyr and tidyverse, craft compelling ggplot2 visualisations, and produce reproducible reports that convert raw sales data into valuable business intelligence. This course equips you with practical tools for confident statistical workflows in a professional setting.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
Gain skills to establish efficient workflows in RStudio, from processing raw CSV files to deriving actionable insights. Learn project setup, data import and cleaning, data type corrections, feature engineering, and missing value management using dplyr and tidyr. Conduct exploratory data analysis, produce professional ggplot2 graphics, perform fundamental statistical tests, and develop fully reproducible scripts and outputs for reliable decision-making.
Elevify advantages
Develop skills
- Clean sales datasets in R by correcting data types, managing missing values, and creating revenue features.
- Analyse data effectively with dplyr through grouping, summarisation, and KPI tracking in streamlined pipelines.
- Create professional visualisations of business metrics using ggplot2, including bar, line, and scatter plots for reports.
- Develop reproducible RStudio projects by organising files, integrating Git, and maintaining clear documentation.
- Perform essential statistical analyses in R, such as 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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