Enroll Course: https://www.udemy.com/course/r-basics-u/
Are you looking to dive into the world of data analysis and programming? If R is your language of choice, then the “R Basics – Programmierung, Datenanalyse und Regression” course on Udemy is an excellent starting point. Updated in September 2022 with new modules on Linear Regression and tidymodels, this course is designed for beginners with no prior programming experience.
The course kicks off with the fundamentals of R programming. You’ll learn the essential syntax and concepts, culminating in a practical project where you’ll approximate the area of a circle by writing custom functions. This hands-on approach ensures you grasp the core programming principles.
Next, the course delves into the most crucial packages for data analysis in practice: “tidyverse” and “data.table”. You’ll discover how “data.table” can efficiently handle massive datasets, a skill invaluable in real-world scenarios. To enhance your data visualization skills, the course introduces modern libraries like “ggplot2” and “plotly”, building upon the graphical capabilities learned earlier.
The practical application of these concepts is reinforced through an analysis of real estate sales data. You’ll learn to summarize your findings in a dynamic report using “Rmarkdown”, a powerful tool for reproducible research.
Chapter 4 opens up exciting possibilities with an introduction to web applications using the “shiny” package. Furthermore, you’ll explore Web APIs and even program a finance API with the “plumber” package, utilizing “quantmod” for stock data analysis. While the course touches on regression, its primary focus is on teaching the concepts and techniques of R programming and data analysis, rather than deep statistical theory.
This course is ideal for anyone seeking a solid introduction to R for data analysis and a potential entry into the field of Data Science with R. It provides a comprehensive foundation that will empower you to tackle diverse data-related tasks.
Enroll Course: https://www.udemy.com/course/r-basics-u/