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R Programming for Data Analysis

R Programming for Data Analysis

Dive into R programming and data analysis with this comprehensive training. Develop your skillset in R, understand data manipulations, and become adept in the usage of R's GUIs and its diverse data analytical tools.

What will you learn?

Dive into R programming and data analysis with this comprehensive training. Develop your skillset in R, understand data manipulations, and become adept in the usage of R's GUIs and its diverse data analytical tools.

• Grasp foundational concepts of R and its user interface

• Dive deep into data manipulation, visualization, and exploration tools

• Harness the power of data structures in R, from vectors to data frames

• Learn to read from, and write to, multiple data formats

• Explore advanced topics like custom functions, probability distributions, and interactive reporting.

Requirements:

Basicunderstanding of programming concepts

Familiaritywith data structures and databases

No prior experience with R necessary

Course Outline*:

*We know each team has their own needs and specifications. That is why we can modify the training outline per need.

Introduction and Setting Up:

  • Overview of R and its GUIs
  • Introduction to Rstudio
  • Basics of R commands and case sensitivity
  • Executing commands and managing outputs

Working with Data in R:

  • Data types: Numbers, vectors, and matrices
  • Object attributes and manipulations
  • Arrays and matrix functionalities
  • Reading and exporting data across formats
  • Accessing databases using SQL

Data Structures in R:

  • Exploring lists, and constructing data frames
  • Attaching and detaching data frames
  • Data manipulations: Filtering, aggregating, and recoding
  • Character manipulations using stringr package

Statistical Operations in R:

  • Overview of probability distributions
  • Statistical tables in R
  • Conducting one and two-sample tests

Programming Constructs in R:

  • Grouped expressions and control statements
  • Conditional and repetitive execution
  • Writing custom functions in R

Advanced R Features:

  • Environment customization
  • Introduction to classes, generic functions, and object orientation

Graphical Capabilities in R:

  • Basics of plotting and data visualization
  • Exploring multivariate relations with lattice and ggplot package
  • Graphics parameters and automation
  • Interactive reporting and combining R outputs

Hands-on learning with expert instructors at your location for organizations.

2.022€*
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Level:
beginner
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Duration:
14
Hours (days:
2
)
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Training customized to your needs
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Immersive hands-on experience in a dedicated setting
*Price can range depending on number of participants, change of outline, location etc.
Get Quote

Master new skills guided by experienced instructors from anywhere.

987€*
Graph Icon - Education X Webflow Template
Level:
beginner
Clock Icon - Education X Webflow Template
Duration:
14
Hours (days:
2
)
Camera Icon - Education X Webflow Template
Training customized to your needs
Star Icon - Education X Webflow Template
Reduced training costs
*Price can range depending on number of participants, change of outline, location etc.
Get Quote