Outly

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 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 this 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.

Who can Attend?

• 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:

eventbrite@mgaussie.com