Udemy – Beginner-To-Mastery over Data Visualization Using R (2024) 2024-11

Udemy – Beginner-To-Mastery over Data Visualization Using R (2024) 2024-11 Downloadly IRSpace

Apr 18, 2025 - 17:52 Updated: Aug 17, 2025 - 18:05

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Udemy – Beginner-To-Mastery over Data Visualization Using R (2024) 2024-11

Beginner-To-Mastery over Data Visualization Using R (2024) course. This course is designed to take students from beginner to professional level in data visualization using the R programming language. Advance your career by improving your data visualization skills, paving the way for career advancement and new opportunities. Become a data storyteller who can transform complex data into compelling narratives. Your ability to visually present data will help you make a lasting impact in any presentation. Become fully proficient in the R programming language environment.

What you will learn in this course:

R Programming Fundamentals: Master basic concepts such as creating and manipulating logical and operational variables and vectors in R.
Decision Making: Gain skills in decision-making functions such as if-else, while, do-while, and for loops to effectively control program flow.
Working with matrices and lists: creating matrices and lists, using the colnames() and rownames() functions
Data Types and Data Frames: Learn about different data types and work with data frames to manage structured data.
Data import and export: read CSV files, import Excel spreadsheets, perform data indexing, selection, and web scraping
Using dplyr functions: select, filter, sort, rename parameters, transform data, and summarize data efficiently using the %>% pipe operation
Understanding the components and structure of diagrams: Gain insight into the components, structure, and anatomy of diagrams.
Using ggplot2: Create advanced visualizations for continuous data, including multiple data sets in one plot, error bars, density plots, and area plots
Create effective visualizations for discrete data: Create bar and mosaic charts to improve data exploration and presentation.
Advanced ggplot2 Techniques: Dive into advanced ggplot2 functions and techniques.
Specialized techniques: Creating histograms with continuous and discrete variables, time series heat maps, and dendrogram plots
Clustering: Introducing clustering techniques such as K-means for machine learning applications
Comprehensive Practical Project: Apply acquired skills and knowledge in a comprehensive project to demonstrate mastery and readiness for practical application.
Practice with quizzes, exercises, and problem-solving videos to reinforce learning

This course is suitable for people who:

Beginners with no prior experience in the R programming language: We guide you step-by-step through the basics of R and data visualization concepts.
Data enthusiasts: Improve your ability to analyze and interpret data through visual storytelling.
Analysts looking to level up: Take your data visualization skills to the next level with advanced R techniques and packages.
Business Analysts: Learn how to effectively communicate data insights to stakeholders using data visualization.
Marketing professionals: Gain skills to create data-driven marketing campaigns and presentations.
Data Scientists: Expand your data science toolbox with data visualization capabilities.
Students studying data analysis or statistics programs: Build a strong foundation in data visualization using R.
Anyone eager to communicate data insights effectively: Learn how to transform raw data into clear, impactful visuals.