![]() ![]() There is an increasing demand for skilled data scientists across all industries which makes this course suited for participants at all levels of experience. Learn and use clustering methods including K-means, DBSCAN, and hierarchical clustering Learn and use the various association rules and Apriori algorithmġ1. Understand and use linear, non-linear regression models, and classification techniques for data analysisġ0. ![]() Understand and use hypothesis testing method to drive business decisionsĩ. Gain a basic understanding of the various statistical conceptsĨ. Understand and use the various graphics in R for data visualizationħ. Define, understand and use the various apply functions and DPLYP functionsĦ. Gain an in-depth understanding of data structure used in R and learn to import/export data in Rĥ. Master the R programming and understand how various statements are executed in RĤ. You will also learn about the various R packagesģ. Install R, R-studio, and workspace setup. Gain a foundational understanding of business analyticsĢ. Statistics is generally regarded as one of the pillars of data science.ĭata Science Certification Training - R Programming: ġ. Statistics is primarily an applied branch of mathematics, which tries to make sense of observations in the real world. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |