Hands-On Data Science Using R: 1 Day Session | Brampton

Wed, 18 Mar, 2026 at 09:00 am to Tue, 11 Aug, 2026 at 05:00 pm UTC-04:00

Regus ON, Brampton - Brampton County Court | Brampton

Catils_inc
Publisher/HostCatils_inc
Hands-On Data Science Using R: 1 Day Session | Brampton
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Master essential R workflows, analytics, and visualizations in one power-packed 1 Day data science workshop.
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


Course Overview

This intensive 1 Day program is designed to help you quickly build beginner to intermediate skills in R for real-world data science applications. You will explore data manipulation, statistical workflows, visualization essentials, and automation techniques using core R capabilities. The course avoids unnecessary basics and focuses on practical, impactful skills that elevate your analytical capabilities within a single day. Real datasets, hands-on tasks, and guided mini-projects ensure you gain confidence using R immediately.

Learning Objectives

By the end of the course, you will be able to:

  • Understand core R structures and apply them in analytics.
  • Clean, structure, and prepare real-world datasets efficiently.
  • Manipulate data using dplyr for faster insights.
  • Build clear and compelling visualizations using ggplot2.
  • Perform exploratory analysis with confidence.
  • Build basic predictive models and interpret output.
  • Create automated workflows to accelerate reporting.

Target Audience

  • Data enthusiasts entering analytics roles
  • Business analysts transitioning into data science
  • Professionals using Excel and seeking a more powerful analytical tool
  • Students, researchers, and working professionals needing R for applied analysis
  • Anyone who wants a fast-paced introduction to intermediate R skills

Why Choose This Course?

This course is designed for rapid skill-building without unnecessary basics. You learn directly from an industry expert with hands-on experience in analytics, automation, and R-based problem solving. The content is practical, structured, and aligned with real data science workflows. Every activity challenges you to think like an analyst and produce meaningful insights using Rβ€”all in one day.

Β©2026 Catils. This content is protected by copyright law. Copy or Reproduction without permission is prohibited.


Want to train your entire team?
We offer fully customized in-house sessions tailored to your organization's data processes, tools, and datasets. The workshop can be adapted to industry-specific analytics such as finance, healthcare, operations, or research. Whether your team is new to R or needs a refresher, we design a program that fits your workflow goals.

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


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Agenda
Module 1: R Essentials for Data Science

Info: β€’ Learn core R syntax and data structures.
β€’ Work with vectors, factors, lists, and data frames.
β€’ Organize scripts and set up analytical environments.
β€’ Icebreaker


Module 2: Data Importing & Cleaning

Info: β€’ Import CSV, Excel, and structured datasets.
β€’ Handle missing, inconsistent, and duplicate data.
β€’ Use apply-family functions for transformations.
β€’ Case Study


Module 3: Data Manipulation with dplyr

Info: β€’ Use filter, mutate, arrange, summarize, and group_by.
β€’ Join datasets using various join techniques.
β€’ Build multi-step data pipelines using %>%.
β€’ Simulation


Module 4: Visualization with ggplot2

Info: β€’ Create bar, line, scatter, and box plots.
β€’ Apply themes, labels, and custom styling.
β€’ Use faceting for multi-panel visual exploration.
β€’ Case Study


Module 5: Exploratory Data Analysis (EDA)

Info: β€’ Generate descriptive statistics and summary tables.
β€’ Explore trends, outliers, and distributions.
β€’ Identify correlations and data patterns.
β€’ Role Play


Module 6: Predictive Insights with R (Regression)

Info: β€’ Build simple linear regression models.
β€’ Interpret coefficients, predictions, and errors.
β€’ Visualize regression results and residual patterns.
β€’ Simulation


Module 7: Automation & Reporting in R

Info: β€’ Write functions to automate repeated tasks.
β€’ Understand R Markdown for reproducible reports.
β€’ Export processed data and charts efficiently.
β€’ Action Plan Review


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Event Venue & Nearby Stays

Regus ON, Brampton - Brampton County Court, 2 County Court Boulevard, Brampton, Canada

Tickets

CAD 633.68 to CAD 828.26

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