Master Data Analysis in R: 1 Day Practical Workshop in Perth

Tue May 19 2026 at 09:00 am to 05:00 pm UTC+08:00

"Regus St Martins Tower " | Perth

MG Aussie
Publisher/HostMG Aussie
Master Data Analysis in R: 1 Day Practical Workshop in Perth
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Master core data analysis concepts, R workflows, and practical insights to explore, transform, and interpret data in focused 1 Day workshop.
About this Event


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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

©2026 MG Aussie Events. This content is protected by copyright law. Copy or Reproduction without permission is prohibited.


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.

đź“§ Contact us today to schedule a customized in-house, face-to-face session:

[email protected]


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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


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Event Venue & Nearby Stays

"Regus St Martins Tower ", PERTH, St Martins Tower Level 27, St Martins Centre 44 St Georges Terrace, Australia

Tickets

AUD 614.39 to AUD 720.27

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