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Udemy

Regression, Data Mining, Text Mining, Forecasting using R

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Overview

Learn Regression Techniques, Data Mining, Forecasting, Text Mining using R

What you'll learn:
  • Learn about the basic statistics, including measures of central tendency, dispersion, skewness, kurtosis, graphical representation, probability, probability distribution, etc.
  • Learn about scatter diagram, correlation coefficient, confidence interval, Z distribution & t distribution, which are all required for Linear Regression understanding
  • Learn about the usage of R for building Linear Regression
  • Learn about the K-Means clustering algorithm & how to use R to accomplish this
  • Learn about the science behind text mining, word cloud & sentiment analysis & accomplish the same using R

Data Science using Ris designed to cover majority of the capabilities of Rfrom Analytics & Data Science perspective, which includes the following:

  • Learn about the basic statistics, including measures of central tendency, dispersion, skewness, kurtosis, graphical representation, probability, probability distribution, etc.
  • Learn about scatter diagram, correlation coefficient, confidence interval, Z distribution & t distribution, which are all required for Linear Regression understanding
  • Learn about the usage of Rfor buildingRegression models
  • Learn about the K-Means clustering algorithm & how to use Rto accomplish the same
  • Learn about the science behind text mining, word cloud,sentiment analysis & accomplish the same using R
  • Learn about Forecasting models including AR, MA, ES, ARMA, ARIMA, etc., and how to accomplish the same using R
  • Learn about Logistic Regression & how to accomplish the same using R

Syllabus

  • Introduction To Data Science
  • Basic Statistics
  • Hypothesis Testing Introduction
  • Hypothesis Testing- Parametric
  • Hypothesis Testing-Non Parametric
  • BASICS OF R-PROGRAMMING
  • Predictive Analytics
  • Data Mining/Clustering Using R
  • Clustering on Mixed Data
  • High Dimension Data Analysis - Dimension Reduction
  • Relationship Mining - Association Rules
  • Recommendation System
  • Text Mining Using R
  • Forecasting Using XL Miner
  • Bonus: Forecasting Model Based Approaches
  • Bonus: Forecasting Data Driven Approaches
  • Interview Q&A's

Taught by

ExcelR EdTech

Reviews

4.5 rating at Udemy based on 545 ratings

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