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
Designed for rapid learning, this intensive 1-Day programme helps you develop practical beginner-to-intermediate R skills for real-world data science work. The training covers data manipulation, statistical workflows, data visualization, and automation techniques using core R functionality.
The programme focuses on useful and impactful skills instead of unnecessary basic concepts. By working with real datasets, completing hands-on exercises, and participating in guided mini-projects, you will develop the confidence to use R effectively.
Learning Objectives
You will learn how to:
- Apply core R structures to analytical tasks.
- Clean, organize, and prepare datasets.
- Use dplyr to manipulate data efficiently.
- Create compelling charts and visualizations with ggplot2.
- Perform exploratory data analysis.
- Build and interpret basic predictive models.
- Automate reporting workflows using R.
Who Can Attend?
- Data enthusiasts
- Business analysts
- Excel users looking to expand their analytical skills
- Students and researchers
- Working professionals needing practical R experience
- Anyone wanting a fast-paced introduction to intermediate R
Why Choose This Course?
This training is designed for fast and practical skill-building. Participants learn from an industry professional with real-world experience in analytics, automation, and solving problems with R. Every activity is structured around practical data science workflows and helps you develop an analytical mindset while producing meaningful insights.
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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-Brisbane – Spaces Jubilee Place, Fortitude Valley 470, Fortitude Valley, Australia
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