Development Online Course by Udemy, On Sale Here
A clear understanding about the data science theory, techniques and its application in RStudio platform
An excellent training about Data Science
Data Science on R By OrangeTree Global
The following topics will be covered as part of this series. Each topic is described in detail with hands-on exercises done on RStudio to help students learn with ease. We will cover all the nitty-gritty that you need to know to get started with R along with the correction and handling of errors as and when they pop-up. The program builds a solid foundation by covering the most popular and widely used data science technologies and its applications. The topics that are covered in this tutorial are as follows: Introduction to AnalyticsUnderstanding Probability and Probability DistributionsIntroduction to Sampling Theory and EstimationIntroduction to Segmentation Techniques: Factor Analysis in RIntroduction to Segmentation Techniques: Cluster Analysis in RCorrelation and Linear Regression in RIntroduction to categorical data analysis and Logistic Regression in RIntroduction to Time Series AnalysisText Mining and Sentiment analysis in RMarket Basket Analysis in RStatistical Significance T Test Chi Square Tests and Analysis of Variance
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