About this Event
Group Discounts:
- Save 10% when registering 3 or more participants
- Save 15% when registering 10 or more participants
Duration: 1 Full Day (9:00 AM – 5:00 PM)
Delivery Mode: Classroom (In-Person)
Language: English
Credits: 8 PDUs / Training Hours
Certification: Course Completion Certificate
Refreshments: Lunch, beverages, and light snacks included
If you would like weekend training sessions, kindly reach out to us at for availability and scheduling.
Course Overview
This practical 1 Day workshop is designed for learners progressing from beginner to intermediate level in R data analysis. You will gain an understanding of how to organize datasets, clean information, transform data, explore patterns, and interpret results. The course emphasizes applied analytical workflows and essential R techniques while keeping advanced programming and complex statistics outside the core focus.
You will see how analysts use R to work through imperfect datasets, investigate relationships, summarize trends, and develop meaningful insights. Demonstrations, guided practice, and scenario-based learning provide a practical introduction to R-powered analytics.
Learning Objectives
By the end of the course, you will be able to:
- Understand core R workflows for data analysis.
- Import, structure, and prepare datasets.
- Clean and manage data efficiently.
- Apply basic transformations.
- Perform structured exploratory analysis.
- Interpret introductory visualizations.
- Identify patterns and produce insight-focused summaries.
- Plan a basic data analysis process using R.
Target Audience
- Beginners developing analytical skills
- Business analysts and reporting professionals
- Students pursuing data analytics
- Researchers working with small-to-medium data
- Teams seeking practical analytics knowledge
- Professionals wanting functional R skills
Why Choose This Course?
The course offers a clear and practical approach to learning R for analytics. It focuses on useful workplace techniques instead of deep programming concepts or complicated statistical theory. With experience in applied analytics and insight communication, the trainer ensures that the workshop remains practical and relevant, helping you understand how R can support better data-based decisions.
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In-House Training
Organizations can adapt this face-to-face training to their own datasets, reporting processes, and business challenges. Customized scenarios, exercises, and examples can be incorporated, along with optional modules covering data cleaning, reporting workflows, and domain-specific analytics
📧 Contact us today to schedule a customized in-house, face-to-face session:
Agenda
Module 1: R for Data Analysis – Foundations & Workflow
Info: • Understanding R’s analytical ecosystem and workflow patterns
• Key objects, data structures & beginner-friendly R concepts
• How analysts use scripts for reproducible analysis
• Icebreaker Activity
Module 2: Importing & Managing Data in R
Info: • Reading CSV, Excel, and structured datasets into R
• Handling missing values, formatting issues, and data types
• Organizing datasets for smooth analytical workflows
• Activity
Module 3: Data Cleaning & Transformation Essentials
Info: • Filtering, sorting, aggregating, and reshaping datasets
• Using beginner-friendly transformation workflows
• Identifying data quality issues and fixing inconsistencies
• Role Play
Module 4: Exploratory Data Analysis (EDA) Concepts
Info: • Understanding distributions, trends, and variable relationships
• Generating summary statistics for insights
• Using EDA techniques to guide decision-making
• Case Study
Module 5: Introductory Visualization Concepts with R
Info: • Visualizing patterns using clean, simple R plotting approaches
• Choosing the right plot to answer analytical questions
• Interpreting visual outputs for insights
• Simulation
Module 6: Basic Statistical Thinking for Data Analysis
Info: • Understanding simple correlation, variation, and trends
• Applying basic hypothesis concepts without heavy math
• Interpreting results to support insights
• Group Brainstorm Activity
Module 7: Analytical Reporting & Insight Communication
Info: • Turning analysis into meaningful, decision-ready insights
• Structuring interpretation and summarizing findings
• Building a simple, actionable analysis plan
• Action Plan Review
Event venue & nearby stays
Regus ON, Mississauga - Robert Speck 2 (HQ), 2 Robert Speck Parkway, Suite 750, Mississauga, Canada
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