Home Data Management & Analytics Advanced Data Analysis Application Using the R Programming Language

Advanced Data Analysis Application Using the R Programming Language

Unleash the Power of R: Advanced Techniques for Data Analysis

(36)

Course Schedule

15-19 Dec 2025

London

$5,950

13-17 Apr 2026

Riyadh

$5,950

08-12 Jun 2026

Dubai

$5,950

20-24 Jul 2026

Jeddah

$5,950

07-11 Sep 2026

Milan

$5,950

05-09 Oct 2026

Dammam

$5,950

14-18 Dec 2026

London

$5,950

Course Overview

Welcome to our advanced training course, "Advanced Data Analysis Application using the R Programming Language: Unleash the Power of R: Advanced Techniques for Data Analysis." In today's data-driven world, the ability to harness the full potential of R for advanced data analysis is essential for professionals seeking to extract actionable insights from complex datasets. This training course is designed to take your R programming skills to the next level by focusing on advanced techniques and tools tailored for professionals. Throughout the training course, you will delve into using R tools and environments specifically intended for professional use, mastering R syntax, and implementing proper code documentation practices to ensure clarity and reproducibility in your data analysis projects. Additionally, you will learn to perform advanced arithmetic operations, manipulate data types, and utilize guaranteed functions for mathematical operations, empowering you to handle complex data manipulation tasks with confidence. Furthermore, you will gain proficiency in dealing with variables and values using different types of operators, and you will explore various data visualization techniques, including point plots, line plotting, and pie charts, enabling you to create compelling visual representations of data and derive meaningful insights. Join us as we embark on a journey to unleash the power of R for advanced data analysis, empowering you to tackle complex data analysis challenges with ease and confidence.

This GLOMACS Advanced Data Analysis Application Using the R Programming Language training course will highlight:

Utilize advanced R tools and environments tailored for professionals.
Master R syntax and implement proper code documentation practices using comments.
Perform arithmetic operations, manipulate data types, and utilize guaranteed functions for mathematical operations.
Learn to deal with variables and values using different types of operators.
Explore various data visualization techniques including point plots, line plotting, and pie charts for insightful data representation.

What are the Goals?

The objectives for the training course are as follows:

Proficiency with R Tools and Environments: Participants will gain proficiency in utilizing R tools and environments tailored for professionals, enhancing their productivity and efficiency in data analysis tasks.
Mastery of R Syntax and Code Documentation: Participants will learn to use R syntax effectively and implement proper code documentation practices, ensuring clarity, reproducibility, and collaboration in their data analysis projects.
Advanced Arithmetic Operations and Data Manipulation: Participants will acquire the skills necessary to perform advanced arithmetic operations, manipulate data types, and leverage guaranteed functions for mathematical operations, facilitating complex data manipulation tasks.
Effective Handling of Variables and Values: Participants will learn to deal with variables and values using different types of operators, enabling them to effectively manipulate and analyze data sets of varying complexities.
Data Visualization Techniques: Participants will learn various data visualization techniques, including point plots, line plotting, and pie charts, enabling them to create compelling visual representations of data and extract actionable insights.

By achieving these objectives, participants will emerge from the training course equipped with advanced skills and techniques in R programming for data analysis, enabling them to unleash the full power of R in their data analysis endeavors.

Who is this Training Course for?

The GLOMACS training course "Advanced Data Analysis Application using the R programming language: Unleash the Power of R: Advanced Techniques for Data Analysis" is designed for professionals seeking to elevate their data analysis skills to an advanced level using R. Specifically, individuals who would benefit from attending include:

Experienced Data Analysts: Professionals with prior experience in data analysis who are looking to enhance their proficiency in R programming for advanced data manipulation, visualization, and statistical analysis.
Data Scientists: Individuals with a background in data science who want to deepen their expertise in using R for complex data modeling, machine learning, and predictive analytics.
Statisticians: Statisticians interested in expanding their toolkit with advanced R programming techniques for statistical analysis, hypothesis testing, and modeling.
Business Intelligence Professionals: Professionals involved in business intelligence and analytics who want to leverage R for advanced data visualization, dashboarding, and reporting.
Researchers and Academics: Researchers and academics across various fields who use R for data analysis in their research projects and want to explore advanced techniques for handling and interpreting data.
IT Professionals: IT professionals interested in developing their skills in R programming for data analysis, particularly those involved in database management, data integration, and data warehousing.
Decision-makers and Managers: Decision-makers and managers who rely on data-driven insights to guide strategic decision-making processes and want to gain a deeper understanding of advanced data analysis techniques using R.
Anyone with Intermediate R Skills: Individuals with intermediate-level proficiency in R programming who want to expand their knowledge and capabilities in advanced data analysis techniques using R.

Overall, this training course caters to professionals across various industries who are looking to harness the full potential of R programming for advanced data analysis, modeling, and visualization to drive business insights and decision-making.

Course Outline

Day 1

Introduction to advanced R tools and environments for professionals.
Mastering R syntax for advanced data analysis tasks.
Implementing proper code documentation practices using comments.
Hands-on practice: Writing and documenting R code snippets for data manipulation tasks.
Group discussion and review of code documentation best practices.
Practical exercises: Applying syntax and documentation skills to real-world data analysis scenarios.
Q&A session and review of Day 1 concepts.

Day 2

Performing advanced arithmetic operations in R.
Converting data types and ensuring data integrity.
Utilizing guaranteed functions for mathematical operations.
Hands-on practice: Performing complex arithmetic operations on data sets.
Group exercises: Converting data types and ensuring data consistency.
Practical examples: Applying mathematical functions to analyze data.
Q&A session and review of Day 2 concepts.

Day 3

Understanding different types of operators in R.
Handling variables and values effectively in data analysis.
Group exercises: Manipulating variables and values using various operators.
Practical examples: Solving data analysis problems involving variables and values.
Q&A session and review of Day 3 concepts.

Day 4

Introduction to data visualization principles.
Drawing points, lines, and basic shapes in R for data visualization.
Creating line plots to visualize trends and patterns in data.
Generating pie charts to represent categorical data distributions.
Hands-on practice: Creating visualizations using R graphics functions.
Group exercises: Interpreting and analyzing visualizations.
Q&A session and review of Day 4 concepts.

Day 5

Advanced data visualization techniques: Enhancing plots with additional features.
Project work: Participants work on real-world data analysis projects using advanced R techniques.
Presentation preparation: Preparing to present project findings and insights.
Project presentations: Participants present their project findings to the group.
Feedback and discussion: Peer feedback and group discussion on project presentations.
Conclusion: Recap of key concepts and next steps for continued learning.
Final Q&A session and course wrap-up.

Accreditation

GLOMACS is registered with NASBA as a sponsor of Continuing Professional Education (CPE) on the National Registry of CPE Sponsors. NASBA have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.learningmarket.org.

All Training Seminars delivered by GLOMACS by default are eligible for CPE Credit.

Would you like to take this course as a team?

Frequently Asked Questions

What types of training courses does AI Academy offer?

AI Academy offers a wide range of specialized training courses focused on Artificial Intelligence and emerging technologies. Our courses cover areas such as Machine Learning, Data Science, AI in Business Strategy, Digital Transformation, and Automation, designed to help professionals enhance their technical and strategic capabilities.

Who can enroll in AI Academy training courses?

Our courses are open to professionals at all career levels — from beginners seeking to understand AI fundamentals to senior executives aiming to integrate AI into organizational strategy. Each course clearly outlines the ideal participant profile to help you choose the best fit for your goals.

How can I register for a training course?

You can easily register through our website by selecting your preferred course and completing the online registration form. Once your registration is confirmed, you’ll receive a confirmation email with course details, venue or online access information, and next steps.

Are AI Academy courses available online or in person?

Yes. AI Academy offers both online and classroom-based courses to provide flexibility and convenience. The mode of delivery depends on the specific course and its learning objectives, ensuring participants receive an engaging and effective learning experience.

Will I receive a certificate after completing a training course?

Yes. Upon successful completion of any AI Academy training course, participants receive an official Certificate of Completion, recognizing their professional development and newly acquired AI competencies.

How can I determine which AI course is right for me?

Each course description on our website includes detailed information about the learning outcomes, target audience, and objectives. You can also contact our support team for personalized guidance on selecting a course that aligns with your experience level and career ambitions.

Can’t find what you are looking for?

Lorem ipsum dolor sit amet, consetetur sadipscing elitr, sed diam