{"id":7249,"date":"2026-08-10T09:42:08","date_gmt":"2026-08-10T09:42:08","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/udemy-data-science-using-r-2024-10\/"},"modified":"2026-08-10T09:42:08","modified_gmt":"2026-08-10T09:42:08","slug":"udemy-data-science-using-r-2024-10","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/udemy-data-science-using-r-2024-10\/","title":{"rendered":"Udemy \u2013 Data Science Using R 2024-10"},"content":{"rendered":"
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Description<\/span><\/h2>\n

The Data Science Using R course is designed for people who are looking to become data scientists or data analysts and want to use the power of the R programming language to manipulate, analyze and visualize data. Participants first gain a solid foundation in R programming, learning key concepts such as data types, structures, and essential functions. As the course progresses, students will delve into data manipulation techniques using packages such as dplyr and tidyr that allow them to clean and prepare data for analysis. The curriculum emphasizes statistical analysis, including hypothesis testing, regression models, and machine learning algorithms, enabling participants to derive meaningful insights from their data.<\/span><\/p>\n

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Data visualization is a major focus, and training in using ggplot2 to create informative and engaging graphics that effectively communicate results is provided in this course. Real-world case studies and hands-on projects provide hands-on experience and allow students to apply their skills to real data challenges. By the end of the course, participants will have developed a comprehensive toolkit for data science, including mastery of R, understanding of statistical methods, and the ability to clearly present their results. This course is ideal for people looking to start a career in data science or to strengthen their analytical abilities in any field and environment.<\/span><\/p>\n

What you will learn in this course:<\/span><\/h3>\n