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
Designed for beginner-to-intermediate learners, this 1 Day workshop introduces the practical use of R for data analysis. You will develop an understanding of how data is structured, prepared, cleaned, explored, and interpreted while working with realistic datasets. The course prioritizes hands-on analytical application and reproducible workflows, keeping advanced programming and complicated statistical theory outside the main focus.
The workshop demonstrates how analysts use R to transform raw or inconsistent data, investigate relationships, identify trends, and produce understandable summaries. Through guided demonstrations, exercises, and practical scenarios, you will strengthen your understanding of R-based analytical processes.
Learning Objectives
By the end of the course, you will be able to:
- Understand common R-based analysis workflows.
- Bring datasets into R and prepare them for use.
- Clean and manage information effectively.
- Apply basic data transformation techniques.
- Conduct exploratory analysis using a structured process.
- Interpret straightforward visualizations produced in R.
- Discover patterns and develop useful summaries.
- Build a basic plan for analyzing data with R.
Target Audience
- Aspiring data analysts
- Business and reporting professionals
- Students studying data analytics
- Researchers working with small or medium datasets
- Teams seeking practical analytics capabilities
- Professionals wanting usable R skills
Why Choose This Course?
Rather than concentrating on programming theory or advanced statistical methods, this training emphasizes how R is practically used for analysis. The trainer's background in applied analytics, data preparation, exploratory analysis, and insight communication keeps the course practical and industry-focused. You will gain a solid foundation for understanding how R can turn data into actionable information.
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In-House Training
Our customizable in-house sessions help teams apply R-based analysis to their own business environment. Training can be adapted to organizational datasets, reporting requirements, and specific analytical challenges, with tailored scenarios and exercises. Additional modules can also be included for data cleaning, reporting processes, and industry-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 – AB, Calgary – McDougall, 639 5 Ave SW, Suite 2500 Calgary, AB T2P 0M9 Canada, Calgary, Canada
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