R Programming Foundations for Data Analytics and Statistical Modeling
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DATES

Start :2025-08-04End  :2025-08-08

DURATION

5 days, Mon - Fri8:30 am - 4:30 pm

CHARGES

$1,050 + 16% VATFlexible payment

Registration

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Course description

Are you ready to harness the power of R for data analytics, statistical modeling, and reproducible research? This comprehensive course is designed for beginners and intermediate participants who want to build a strong foundation in R programming while gaining hands-on experience in data manipulation, cleaning and visualization.
Through practical exercises, participants will explore R's data structures, functions, and tidyverse tools, learning how to import, clean, transform, and analyze datasets efficiently. participants will also master data visualization with ggplot2. By the end, you'll be equipped to tackle real-world data challenges, automate tasks, and present insights clearly.

Learning outcomes

This course equips participants with core R programming skills and data-driven problem-solving techniques essential for data analytics, machine learning and artificial intelligence. By the end, participants will be able to:
  • Install R and RStudio IDE and understand its user interface.
  • Identify and work with different data types and data structures in R.
  • Load/export data from/to various sources, save, and explore datasets.
  • Recognize and handle errors in R effectively using control statements and error-handling functions.
  • Utilize conditional and repetitive control structures to automate tasks.
  • Perform essential data wrangling tasks, renaming and generating variables, and recoding data for analysis.
  • Select and manipulate specific variables and observations to create focused subsets of data for detailed analysis.
  • Identify and resolve common data quality issues such as missing values, inconsistent data types, duplicates, and outliers.
  • Merge and concatenate datasets effectively, using various join techniques to combine data from multiple sources.
  • Perform data aggregation tasks such as frequency tabulation and descriptive statistics to uncover meaningful insights from datasets.

Course Outline

5 days | Monday - Friday
Module 1: Fundamentals of the R Programming Language
Module 1: Array Manipulation and Basic Linear Algebra with R
Module 3: Data Wrangling and Cleaning using Pandas Part I
Module 4: Data Wrangling and Cleaning using Pandas Part II
Module 5: Introduction to Visualization with ggplot2

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Early registrations are encouraged.
Flexible payment options are available.
Start : 2025-08-04
End  : 2025-08-08
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