# R Programming: R for Data Science and Data Analytics A-Z™

R Programming: R for Data Science and Data Analytics A-Z™ | Udemy | NED

R Programming: R for Data Science and Data Analytics A-Z™ 4.2 (18 ratings) Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.

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.
Data analysis is one of the leading jobs in the current technology market. As per the forecasts of Glassdoor and World Economic Forum, the demand for data scientists will also increase in the next few years. We are generating huge data every day from different domains like Social Media, Healthcare, Sensor data… we have a great tool to analyze them and the tool is R. R programming

R programming for Data Science and Data Analytics: Data analysis is one of the leading jobs in the current technology market. As per the forecasts of Glassdoor and World Economic Forum, the demand for data scientists will also increase in the next few years.

Description. R programming for Data Science and Data Analytics: Data analysis is one of the leading jobs in the current technology market. As per the forecasts of Glassdoor and World Economic Forum, the demand for data scientists will also increase in the next few years.

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