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
Market-specific guidance for Kazakhstan
A country-aware view of the pressures, proof points, and practical tools that shape how this course applies locally.
Tools and platforms relevant to this field
5Field-relevant examples that may be featured in training where they support the confirmed scope. Exact coverage depends on participant needs and delivery format.
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RStudio PositUsed as the development environment for writing, running, and debugging R code during cleaning, analysis, and reporting workflows.
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Shiny PositUsed to build interactive dashboards and internal analytical apps from R outputs.
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tidyverse PositUsed for data wrangling, visualization, and reproducible analysis pipelines in R.
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R Markdown PositUsed to produce repeatable statistical reports that combine code, output, and narrative in one document.
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ggplot2 PositUsed to create publication-quality charts and exploratory visualizations for stakeholder reporting.
Where this course runs
Statistical Data Analysis with R Training is delivered in the cities below — pick the one that fits your schedule.
