About this Event
Bring your team and save:
1. Groups of three or more receive a 10% discount
2. Organizations hosting an in-house session with 10+ participants enjoy a 15% discount.
Duration: 1 Full Day (8 Hours)
Delivery Mode: Classroom (In-Person)
Language: English
Credits: 8 PDUs/Training Hours
Certification: Course Completion Certificate
Refreshments: Lunch, Snacks and beverages will be provided during the session
Course Overview
This intensive 1-Day programme is built to help learners quickly develop practical R capabilities for real-world data science applications. You will explore how to manipulate data, work with statistical processes, create effective visualizations, and automate analytical tasks.
The training avoids unnecessary basics and focuses on skills that provide immediate analytical value. Through real datasets, practical exercises, and guided mini-projects, you will develop confidence using R in applied situations.
Learning Objectives
By completing this course, you will be able to:
- Apply core R structures in analytical work.
- Clean and organize real-world data.
- Use dplyr to manipulate datasets efficiently.
- Build visualizations using ggplot2.
- Perform exploratory data analysis.
- Create basic predictive models and interpret outputs.
- Automate workflows to accelerate reporting.
Who Can Attend?
- Data enthusiasts
- Aspiring analytics professionals
- Business analysts
- Excel users
- Students and researchers
- Working professionals
- Anyone interested in practical R skills
Why Choose This Course?
This programme provides focused and rapid skill development. The training is led by an industry professional with hands-on experience in analytics, automation, and R problem-solving. Its practical structure reflects real data science workflows and helps participants develop meaningful analytical capabilities in one day.
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Want to train your entire team?
We offer fully customized in-house sessions tailored to your organization's data processes, tools, and datasets. The workshop can be adapted to industry-specific analytics such as finance, healthcare, operations, or research. Whether your team is new to R or needs a refresher, we design a program that fits your workflow goals.
📧 Contact us today to schedule a customized in-house, face-to-face session:
Agenda
Module 1: R Essentials for Data Science
Info: • Learn core R syntax and data structures.
• Work with vectors, factors, lists, and data frames.
• Organize scripts and set up analytical environments.
• Icebreaker
Module 2: Data Importing & Cleaning
Info: • Import CSV, Excel, and structured datasets.
• Handle missing, inconsistent, and duplicate data.
• Use apply-family functions for transformations.
• Case Study
Module 3: Data Manipulation with dplyr
Info: • Use filter, mutate, arrange, summarize, and group_by.
• Join datasets using various join techniques.
• Build multi-step data pipelines using %>%.
• Simulation
Module 4: Visualization with ggplot2
Info: • Create bar, line, scatter, and box plots.
• Apply themes, labels, and custom styling.
• Use faceting for multi-panel visual exploration.
• Case Study
Module 5: Exploratory Data Analysis (EDA)
Info: • Generate descriptive statistics and summary tables.
• Explore trends, outliers, and distributions.
• Identify correlations and data patterns.
• Role Play
Module 6: Predictive Insights with R (Regression)
Info: • Build simple linear regression models.
• Interpret coefficients, predictions, and errors.
• Visualize regression results and residual patterns.
• Simulation
Module 7: Automation & Reporting in R
Info: • Write functions to automate repeated tasks.
• Understand R Markdown for reproducible reports.
• Export processed data and charts efficiently.
• Action Plan Review
Event venue & nearby stays
Regus - Canberra, Gateway Business Center, CANBERRA, Canberra Airport Level 4, Plaza Offices East, 35 Terminal Avenue, Australia
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