Data Science on R 2021-22

 Buy Now
  

Price: 7900$

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 Analytics Understanding Probability and Probability Distributions Introduction to Sampling Theory and Estimation Introduction 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 Analysis Text Mining and Sentiment analysis in RMarket Basket Analysis in RStatistical Significance T Test Chi Square Tests and Analysis of Variance 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 Analytics Understanding Probability and Probability Distributions Introduction to Sampling Theory and Estimation Introduction 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 Analysis Text Mining and Sentiment analysis in RMarket Basket Analysis in RStatistical Significance T Test Chi Square Tests and Analysis of Variance