R Data Science Accelerator: 1 Day Workshop in Washington, D.C.
Schedule
Thu, 26 Mar, 2026 at 09:00 am to Wed, 12 Aug, 2026 at 05:00 pm
UTC-04:00Location
regus DC, Washington - 1500 K Street | Washington, DC
About this Event
Group Discounts:
Save 10% when registering 3 or more participants
Save 15% when registering 10 or more participants
About the course:
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 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:
This course is ideal for:
- 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 R—all in one day.
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Our Royalty Referral Program
Know a team or professional who could benefit from our workshops? Refer them and earn attractive royalties for every successful registration.
For royalty-related queries, contact [email protected]
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.
📧 Contact us today to schedule a customized in-house session:
Agenda
Module 1: R Essentials for Data Science
Info:
• Learn core R syntax and data structures.
• Work with vectors, factors, lists, and data frames.
• Organize scripts and set up analytical environments.
• Icebreaker
Module 2: Data Importing & Cleaning
Info:
• Import CSV, Excel, and structured datasets.
• Handle missing, inconsistent, and duplicate data.
• Use apply-family functions for transformations.
• Case Study
Module 3: Data Manipulation with dplyr
Info:
• Use filter, mutate, arrange, summarize, and group_by.
• Join datasets using various join techniques.
• Build multi-step data pipelines using %>%.
• Simulation
Module 4: Visualization with ggplot2
Info:
• Create bar, line, scatter, and box plots.
• Apply themes, labels, and custom styling.
• Use faceting for multi-panel visual exploration.
• Case Study
Module 5: Exploratory Data Analysis (EDA)
Info:
• Generate descriptive statistics and summary tables.
• Explore trends, outliers, and distributions.
• Identify correlations and data patterns.
• Role Play
Module 6: Predictive Insights with R (Regression)
Info:
• Build simple linear regression models.
• Interpret coefficients, predictions, and errors.
• Visualize regression results and residual patterns.
• Simulation
Module 7: Automation & Reporting in R
Info:
• Write functions to automate repeated tasks.
• Understand R Markdown for reproducible reports.
• Export processed data and charts efficiently.
• Action Plan Review
Where is it happening?
regus DC, Washington - 1500 K Street, 1500 K Street 2nd Floor, Washington, United StatesEvent Location & Nearby Stays:
USD 584.48 to USD 759.26
