Data Handling in R Training in United States of America

  • Delivery Method: Online Instructor-Led / Classroom Based / Onsite
  • Participation Model: Public Training / Private / In-House Training
  • Duration: 3 Days
  • Level: Intermediate
  • Price: From USD 4,300 +TAX
  • Upcoming Date:
  • UK Based Global Training Provider

This three day course is aimed at those wishing to learn how to use R with Tidyverse packages to work with and handle Data. When combined with our Introduction to Data Science course you would be set up well to follow an R learning journey into Data Science, Machine Learning, and Artificial Intelligence.

During the programme you will be introduced to R and specific development environments and packages for working with Data, with a focus on Tidyverse packages including dplyr, tidyr, stringr, ggplot2 and more.

Along the way you will see how to clean and manipulate tabular data, apply simple statistical techniques and create engaging data visualisations.

Throughout the course you will engage with activities and discussions with one of our Data Science technical specialists and complete technical lab activities to practice the techniques you have learnt and develop ideas for further practice.



Prerequisites

No prior experience with R is necessary, though it is assumed that you will be familiar with core data concepts such as simple table structures and data types – all the pre-requisites you need are covered by our Data Essentials (QADESS) course.

Target Audience

This three day course is aimed at those wishing to learn how to use R with Tidyverse packages to work with and handle Data. When combined with our Introduction to Data Science course you would be set up well to follow an R learning journey into Data Science, Machine Learning, and Artificial Intelligence.


We can organize this training at your preferred date and location.
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ACCENTURE

What You Will Learn

  • Benefit from the speed and functionality of R and the Tidyverse
  • Create and control Data Visualisations using ggplot and related packages
  • Use the RStudio environment with R Scripts or Quarto Documents
  • Retrieve, clean, and prepare data from multiple types of sources with tidyr, dplyr, and related packages
  • Gain a firm grounding in R with Data in order to progress to further study to connect to AI models, Engineer data pipelines, and develop Data Science solutions

Training Outline

Introduction to Programming for Data Handling

  • Describe the pros and cons of using programming languages to work with data
  • Identify the languages most suitable for data handling
  • Explain the challenges of using programming languages versus data analysis tools

Introduction to R, RStudio, and Quarto

  • Describe the key attributes of the R programming language.
  • Explain the role of RStudio and Quarto for R programming.
  • Use RStudio to write a basic R program.
  • Write a program which uses string, integer, float and boolean data types.

Data Structures, Functions, and Pipes

  • Construct dataframes and tibbles to solve data problems.
  • Write reusable functions which can be used to alter data & automate repetitive tasks.
  • Use a selection of R’s built-in functions and trustworthy packages along with base R and dplyr’s Pipe.

Data Sources

  • Read from csv, excel, and json files.
  • Connect to databases using DBI paired with a backend

Data Manipulation

  • Create, manipulate, and alter dataframes and tibbles.
  • Use base R and tidyverse methods for indexing, slicing, querying, filtering, grouping, pivoting, and merging tables.

Data Cleaning and Preparation

  • Identify data quality metrics, missing data and apply techniques to deal with it.
  • Deduplicate, transform and replace values.
  • Use string methods to manipulate text data.
  • Write regular expressions which munge text data.

Methods for Visualising Data

  • Construct and tailor data visualisations using ggplot2.
  • Meaningfully visualise aggregate data.

Related learning

Data Science Learning Pathways can be selected by choosing either Python or R and a Cloud Platform certification:

  • QAIDSDP Introduction to Data Science for Data Professionals
  • Sourcing and handling data:
    • QADHPYTHON Data Handling with Python
    • QADHR Data Handling with R
    • QAPDHAI Python Data Handling with AI APIs
  • Statistics for Data Analysis:
    • QASDAPY Statistics for Data Analysis with Python
    • QASDAR Statistics for Data Analysis with R
  • Programming and Software Development skills:
    • QAPYTH3 Python Programming
    • QARPROG R Programming
  • Machine Learning Development:
    • QADSMLP Data Science and Machine Learning with Python
    • QADSMLR Data Science and Machine Learning with R
  • Mathematics for Developing Algorithms for AI models, Big Data Mining, and working with Neural Networks:
    • QAMFDS Mathematics for Data Science
  • Forecasting:
    • QATSFP Time Series and Forecasting with Python
    • QATSFR Time Series and Forecasting with R

Suggested courses leading to Certification:

  • MDP100 Designing and Implementing a Data Science Solution on Azure (DP-100)
  • AMWSMLP Machine Learning Pipelines on AWS
  • GCPMLGC Machine Learning on Google Cloud

Why Choose Us

Experience Data Handling in R in United States of America through Bilginç IT Academy's live and interactive virtual classroom environment. Join a Public course as an individual delegate or arrange a dedicated Private / In-house online training program exclusively for your organization.

  • Delivery Method: Online Instructor-Led
  • Participation Model: Public / Private (In-house)
  • Live and Interactive Training: Connect with your instructor in real time and actively participate through discussions, Q&A sessions, practical exercises, and group activities.
  • Flexible Participation: Join the training from your home, office, or any location with a suitable internet connection.
  • Expert Trainer Network: Learn from experienced trainers with strong industry backgrounds and practical field expertise.
  • Over 30 Years of Training Expertise: Benefit from Bilginç IT Academy's professional training experience since 1995.
  • Worldwide Access: Join our live virtual classrooms from United States of America or anywhere else in the world, or arrange a dedicated online training program for your organization.

Experience Data Handling in R through face-to-face Classroom Based training in United States of America. Training can be delivered as a Public course open to individual delegates or as a dedicated Private / In-house class for your organization.

  • Delivery Method: Classroom Based
  • Participation Model: Public / Private (In-house)
  • Face-to-Face Learning: Interact directly with your instructor and fellow delegates in an engaging classroom environment.
  • Experienced Trainers: Learn from specialists with extensive industry experience and practical real-world knowledge.
  • Professional Training Environment: Attend training in comfortable, well-equipped classrooms designed to support effective learning.
  • Practical Learning: Depending on the course, reinforce your knowledge through hands-on exercises, scenarios, case studies, and instructor-led activities.

Arrange Data Handling in R in United States of America as a dedicated Onsite training program for your organization. Bilginç IT Academy trainers can deliver the training at your office or another location of your choice, with the program planned around your team's requirements and business objectives.

  • Delivery Method: Onsite
  • Participation Model: Private (In-house)
  • Training at Your Preferred Location: Organize the training at your company's office or another location selected by your organization.
  • Tailored Course Content: Adapt the training program to your projects, team structure, existing skill levels, and specific business requirements.
  • Team-Focused Learning: Develop your team around a shared knowledge base while strengthening internal collaboration and knowledge transfer.
  • Flexible Scheduling: Plan the training dates, location, and program according to your organization's operational requirements.
  • Worldwide Onsite Delivery: Arrange the training in United States of America or at another preferred location worldwide. Bilginç IT Academy trainers can travel to your selected location to deliver the dedicated training program.
Contact us for more detail about our trainings and for all other enquiries!

Data Handling in R Training Course in United States of America Schedule

Join our public courses in our United States of America facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

We can organize this training at your preferred date and location.
06 October 2026 (3 Days)
New York, San Francisco, Austin, Seattle, Chicago
USD 4,300 +TAX
09 October 2026 (3 Days)
New York, San Francisco, Austin, Seattle, Chicago
USD 4,300 +TAX
10 October 2026 (3 Days)
New York, San Francisco, Austin, Seattle, Chicago
USD 4,300 +TAX
12 October 2026 (3 Days)
New York, San Francisco, Austin, Seattle, Chicago
USD 4,300 +TAX
13 October 2026 (3 Days)
New York, San Francisco, Austin, Seattle, Chicago
USD 4,300 +TAX
10 November 2026 (3 Days)
New York, San Francisco, Austin, Seattle, Chicago
USD 4,300 +TAX
14 November 2026 (3 Days)
New York, San Francisco, Austin, Seattle, Chicago
USD 4,300 +TAX
16 November 2026 (3 Days)
New York, San Francisco, Austin, Seattle, Chicago
USD 4,300 +TAX

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