Hands-On Data Analysis with R: 1 Day Workshop in Montreal
Overview
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
Course Overview
This 1 Day beginner-to-intermediate program introduces you to practical data analysis using R. The focus is on understanding how to structure data, clean it efficiently, explore patterns, generate insights, and apply analytical techniques using real datasets. Instead of covering deep programming or complex statistical theory, this workshop prioritizes applied analytics, reproducible workflows, and essential R techniques used in industry.
You will learn how analysts use R to transform messy data, explore relationships, summarize trends, and interpret insights clearly. Throughout the day, you’ll work through conceptual demonstrations, guided exercises, and scenario-based activities to gain a strong, hands-on understanding of R-powered data analysis.
Learning Objectives
By the end of the course, you will be able to:
- Understand R workflows used for practical data analysis.
- Import, clean, and manage datasets effectively.
- Apply essential transformation techniques for analysis.
- Explore data using structured EDA approaches.
- Interpret simple visualizations created with R.
- Identify patterns and generate insight-driven summaries.
- Create a basic analysis plan using R-based workflows.
Target Audience
- Data beginners moving toward analytical roles
- Business analysts & reporting professionals
- Students entering data analytics
- Researchers working with small-to-medium datasets
- Teams needing practical, non-technical analytics skills
- Professionals who want to understand R at a functional level
Why Choose This Course?
This training focuses on practical R usage without overwhelming you with programming fundamentals or advanced statistics. The trainer brings experience in applied analytics, data preparation, exploratory analysis, and insight communication—ensuring the session remains hands-on, beginner-friendly, and industry-relevant. You leave with a clear understanding of how R supports real-world data decisions.
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Want to train your entire team in practical data analysis using R?
Our in-house sessions are fully customizable based on your datasets, reporting needs, and organizational challenges. Your team can work with tailored examples, guided scenarios, or industry-specific exercises to strengthen analytical confidence. Custom modules can be added for data cleaning, reporting workflows, or domain-specific analytics.
📧 Contact us today to schedule a customized in-house, face-to-face session: info@catils.com
Good to know
Highlights
- 8 hours
- ages 18+
- In person
- Paid parking
Refund Policy
Location
Regus - Montreal, QC
1200 Avenue McGill College
Ph No +1 469 666 9332 Montreal, QC H3B 4G7 Canada
How do you want to get there?
Module 1: R for Data Analysis – Foundations & Workflow
• 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
• 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
• Filtering, sorting, aggregating, and reshaping datasets • Using beginner-friendly transformation workflows • Identifying data quality issues and fixing inconsistencies • Role Play
Frequently asked questions
Organized by
Catils_inc
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