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

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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.