Virtual Training
Data Science, AI, and Advanced Analytics
Statistical Data Analysis with R Online Course
Join our virtual, live instructor-led session and master Statistical Data Analysis with R Training from anywhere in the world.
10 Days
Duration
Live Online
Delivery
7 Dates
Available
Certificate
Included
Master Statistical Data Analysis with R to transform raw datasets into reproducible insights, predictive models, and automated reports using industry-standard Tidyverse frameworks.
Upcoming Virtual Training Schedules
Join from anywhere in the world with our live instructor-led sessions
| Code | Start Date | End Date | Duration | Fee | |
|---|---|---|---|---|---|
| DSR-01 | Mon - Fri (10 Days) | USD 1,700 | Reserve my seat → Register my team → | ||
| DSR-01 | Mon - Fri (10 Days) | USD 1,700 | Reserve my seat → Register my team → | ||
| DSR-01 | Weekend (8 Weeks) | USD 1,700 | Reserve my seat → Register my team → | ||
| DSR-01 | Mon - Fri (10 Days) | USD 1,700 | Reserve my seat → Register my team → | ||
| DSR-01 | Weekend (8 Weeks) | USD 1,700 | Reserve my seat → Register my team → | ||
| DSR-01 | Mon - Fri (10 Days) | USD 1,700 | Reserve my seat → Register my team → |
Here's What You'll Learn
Each module tackles real challenges you face in your role
1
R Programming Foundations and RStudio Ecosystem
2
Data Wrangling with the Tidyverse Framework
3
Exploratory Data Analysis and Visual Grammar
4
Probability Distributions and Statistical Inference
5
Hypothesis Testing and Power Analysis
6
Linear Modeling and Regression Diagnostics
7
Categorical Data Analysis and Logistic Regression
8
Analysis of Variance and Experimental Design
9
Multivariate Analysis and Dimensionality Reduction
10
Time Series Analysis and Forecasting
11
Reproducible Reporting with RMarkdown and Quarto
12
Interactive Dashboards with Shiny®
13
Advanced Data Programming and Workflows
14
Integration and Capstone
Built for Italy
From your market
Real tools and case studies from Italy — taught against the configurations and outcomes you'll actually encounter.
Industry Tools and Platforms Featured in this Training
4-
RStudio PositUsed as the main interface for writing, running, and debugging R code, especially for reproducible statistical workflows and report generation.
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Shiny PositUsed to build interactive data applications and dashboards that let stakeholders explore model outputs without needing to write code.
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Tidyverse PositUsed for data cleaning, transformation, visualization, and analysis in a consistent workflow across datasets.
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R Markdown PositUsed to produce reproducible statistical reports that combine narrative, code, outputs, and charts in one document.
Where this course runs
Statistical Data Analysis with R Training is delivered in the cities below — pick the one that fits your schedule.
