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

**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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