Data Mining with R: Go from Beginner to Advanced!

This is a "hands-on" business analytics or data analytics course that teaches how to do dozens of data mining operations using real data and data mining cases using the popular, free R software. It covers important data analysis, data mining, and predictive analytics skills, as well as data exploration, data visualization, and data mining, using one of the most widely used business analytics software suites today.

The course is organized as a series of dozens of demonstrations of classification and predictive data mining tasks, such as building classification trees, building and training decision trees, using random forests, linear modeling, regression, generalized linear modeling, logistic regression, and a variety of cluster analysis techniques.

The course also teaches and demonstrates "best practices" for using R software, including how to install R and RStudio, the characteristics of basic data types and structures in R, and how to input data into a R session using the keyboard, user prompts, or importing files from a computer's hard drive. The course resources include the software, presentations, data, and R scripts used in the dozens of case-based demonstration video lectures, allowing students to "take them home" and apply them to their own unique data analysis and mining problems. Each course section also includes "hands-on" tasks to support the learning process.

The course is aimed for undergraduate and graduate students who want to learn useful data analytics skills, as well as practicing predictive analytics experts who want to broaden their knowledge and capabilities in data analysis and data mining.

Requirements:

• Download and install no-cost R software (complete, easy-to-follow instructions are provided).
• Download and install no-cost RStudio IDE software (complete, easy-to-follow instructions are provided).

Who this course is for:

• Anyone who wants to learn more about performing data analysis using a variety of popular, contemporary data mining techniques.
  
• Data Mining beginners and professionals who wish to enhance their data mining knowledge and skill levels
  
• Individuals seeking to gain more proficiency using the popular R and RStudio software suites.
  
• Undergraduate students seeking to acquire in-demand analytics skills to enhance employment opportunities.
  
• Graduate students seeking to acquire a wider repertoire of analytics skills for research data analysis tasks.

Subtitles:English
Udemy Rating: 4.5/5.0
Enroll here: https://www.udemy.com/course/data-mining-with-r-go-from-beginner-to-advanced/