All current R Programming Courses courses in 2024
57 Courses
Advanced analysis of outliers in R and Matlab
Join our comprehensive course, Advanced Analysis of Outliers in R and Matlab, presented by Udemy. This training is essential for individuals eager to master robust data analysis techniques pivotal in fields like Data Mining, Statistics, and Machine Learning. Enhance your skills in some of the most powerful analytical tools used in Artificial Intell.

Decision Trees, Random Forests, Bagging & XGBoost: R Studio
Title: Decision Trees, Random Forests, Bagging & XGBoost: R Studio
Description: Explore the world of Decision Trees along with advanced Ensembling techniques using R Studio. Master skills in Bagging, Random Forest, Gradient Boosting Machine (GBM), AdaBoost, and XGBoost with this comprehensive course provided by Udemy.
University: Not applicable.

Data Science and Machine Learning Masterclass with R
Join the Data Science and Machine Learning Masterclass with R, provided by Udemy and tailored by experienced instructors from IIT. This comprehensive course covers crucial topics such as Data Manipulation, Data Visualization, and Data Analytics, all within the realm of Data Science. Perfect for students and professionals eager to enhance their skil.

Full Stack Data Science with Python, Numpy and R Programming
Title: Full Stack Data Science with Python, Numpy and R Programming
Description: Master Data Science with expert guidance in R programming, Python, and libraries like NumPy and Pandas. Develop your skills and apply them to real-world data manipulation and analysis challenges. Provider: Udemy. Categories: R Programming Courses, Data Science Courses,.

K-Means for Cluster Analysis and Unsupervised Learning in R
Title: K-Means for Cluster Analysis and Unsupervised Learning in R
Description: Dive into the robust K-Means Clustering Algorithm for efficient cluster analysis and unsupervised machine learning using R. This well-structured course is brought to you by Udemy, enhancing your data science proficiency, particularly in R programming and unsupervised le.

Fraud Detection in R
Fraud Detection in R
Fraud Detection in R
Learn to detect fraud with analytics in R. The Association of Certified Fraud Examiners estimates that fraud costs organizations worldwide $3.7 trillion a year and that a typical company loses five percent of annual revenue due to fraud. Fraud attempts are expected to increase further in the future, maki.

Alteryx Bootcamp
Learn Alteryx in as little as 4 hours with this Bestselling Alteryx Course (+90 minutes of extra content)
