Data Mining with Rattle

Data mining involves the use of methods from machine learning, statistics, and database management systems to discover and extract patterns from large data sets. The goal of data mining, which spans the disciplines of computer science and statistics, is to take a dataset and, with the help of algorithmic analysis, derive useful insights from it. Data mining is the "knowledge discovery in databases" (KDD) analytical phase. In addition to the raw analysis, it consists of database and data management, data pre-processing, model and inference considerations, interestingness metrics, interconnectivity aspects, post-processing of discovered structures, visualization, and online updating. Data Mining with Rattle certification is made available by Udemy to candidates who wish to learn more about life-cycle data mining with the widely used data miner

Data Mining with Rattle online training includes 15 hours of video, 15 resources that can be downloaded, and a digital certificate when the course is done.