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R Programming™ for Data Analysis for Absolute Beginners

R Programming™ for Data Analysis for Absolute Beginners

R Programming™ for Data Analysis for Absolute Beginners
R Programming™ for Data Analysis for Absolute Beginners, Learn R Programming Hands-on - Vectors and Data Frames, R Packages & Functions, Data Visualization, ML & Many More
NEW
Created by Teach Premium, Apex Education
English

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What you'll learn
  • Install R and R studio on Windows and Ubuntu machine.
  • The core principles of R programming.
  • Manage R Packages and working directory.
  • Build user defined functions.
  • R’s Decision Branching methods and loop operations.
  • About Data types and Data structures.
  • Operations on Vectors, Lists, Matrices, Arrays and Data frames.
  • Manage data from External Sources (csv, Excel, JSON and XML files).
  • Arrange Factor Data and the process of conversion ( vector to factor)
  • Work with External Database.
  • Visualize data in a structured way using ggplot2 package.
  • Understand the statistical concepts (like. Mean, Median, Correlation, Standard deviation, Normal Distribution) with proper R examples.
  • Hypothesis testing in R ( t-test & Chi Squared Test )
  • The concept of Missing Value and their imputation process.
  • Detect and Remove the outliers from data set.
  • The concept, application, Mathematical computation and a complete data analysis using Simple Linear regression.
  • Build and interpret a multiple linear regression model in R and also check the overall quality of the model.
  • Generate a Logistic Regression Model, Predict the outcome from LR model and evaluate your model using Confusion Matrix and ROC- AUC Curve.

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