Enroll Course: https://www.udemy.com/course/r-basics-u/
In today’s data-driven world, understanding how to manipulate and analyze data is a crucial skill. For those looking to dive into the realm of data science, the Udemy course ‘R Basics – Programmierung, Datenanalyse und Regression’ offers an excellent starting point. Updated in September 2022, this course guides you through the fundamentals of programming and data analysis using R and RStudio.
### Course Overview
This comprehensive course begins with the basics of R programming, ensuring that even complete beginners can follow along. The first chapter culminates in a small project where learners approximate the area of a circle by writing custom functions. This hands-on approach helps solidify your understanding of R’s syntax and functionality.
As the course progresses, you’ll be introduced to key packages essential for data analysis, such as ‘tidyverse’ and ‘data.table’. These tools are invaluable for anyone looking to handle large datasets efficiently. The course also emphasizes modern data visualization techniques using libraries like ‘ggplot2’ and ‘plotly’, which are widely used in the field.
One of the highlights of this course is its practical application. You will analyze real-world data, specifically examining real estate sale prices and summarizing your findings in a dynamic report using Rmarkdown. This not only reinforces your analytical skills but also equips you with the ability to present data effectively.
In the latter chapters, the course delves into web applications using the ‘shiny’ package and discusses how to work with Web APIs, including programming a Finance-API with the ‘plumber’ package. The use of ‘quantmod’ for stock price data adds another layer of relevance, making this course particularly appealing to those interested in finance and investment.
### Who Should Take This Course?
This course is perfect for anyone looking to get started with R and data analysis, whether you’re a complete novice or someone with limited programming experience. It also serves as a great introduction to the broader field of data science.
### Conclusion
Overall, ‘R Basics – Programmierung, Datenanalyse und Regression’ is a well-structured course that covers essential topics in R programming and data analytics. Its practical approach, combined with modern tools and techniques, makes it a valuable resource for aspiring data scientists. I highly recommend this course to anyone looking to enhance their skill set and embark on a journey into data science with R.
By the end of the course, you’ll not only have a solid foundation in R programming but also the confidence to tackle more complex data analysis tasks. So why wait? Enroll today and start your journey into the exciting world of data science!
Enroll Course: https://www.udemy.com/course/r-basics-u/