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Data Science With R Online Training
This course deals with online training of Data Science With R. This program will provide you with various concepts of R programming for data science. This program R for Data science is crafted by our leading instructors in R programming. We also provide certification training that will make you ready for real-time scenarios.
Course Overview
R for Data Science is one of the most widely used languages for statistical computing and data analysis. Data science using R programming language focuses on the languages’ graphical and statistical use. In this R for a data science course, you will learn how to perform data visualization and statistical analysis. The R program language is open-source software.
Key Features.
- Introduction to basics of R programming language.
- Install and configuration of R
- Insights into simulations for data science with R
- Concepts of Data Science with R workflow
- Learn and practice R for data science solutions.
- Guidance for Data science for R certification.
- Guidance in resume building for R programming.
Who should take this course?
This course benefits professionals who are already into programming and want to change in the R environment. Individuals with knowledge of statistics can also pursue a career in R programming. Beginners in R programming can practice with this course. Individuals who are interested in getting data science with R certification can also do this course.
- Overview
- Business Decisions and Analytics
- Types of Business Analytics
- Applications of Business Analytics
- Data Science Overview
- Conclusion
- Knowledge Check
- Overview
- Importance of R
- Data Types and Variables in R
- Operators in R
- Conditional Statements in R
- Loops in R
- R script
- Functions in R
- Conclusion
- Knowledge Check
- Overview
- Identifying Data Structures
- Demo: Identifying Data Structures
- Assigning Values to Data Structures
- Data Manipulation
- Demo: Assigning Values and Applying Functions
- Conclusion
- Knowledge Check
- Overview
- Introduction to Data Visualization
- Data Visualization Using Graphics in R
- Ggplot2
- File Formats of Graphic Outputs R
- Conclusion
- Knowledge Check
- Overview
- Introduction to Hypothesis
- Types of Hypothesis
- Data Sampling
- Confidence and Significance Levels
- Conclusion
- Knowledge Check
- Overview
- Hypothesis Test
- Parametric Test
- Non-Parametric Test
- Hypothesis Tests about Population Means
- Hypothesis Tests about Population Variance
- Hypothesis Tests about Population Proportions
- Conclusion
- Knowledge Check
- Overview
- Introduction to Regression
- Analysis Types of Regression
- Analysis Models Linear Regression
- Demo: Simple Linear Regression
- Non-Linear Regression
- Demo: Regression Analysis with Multiple Variables
- Cross Validation
- Non-Linear to Linear Models
- Principal Component Analysis
- Factor Analysis
- Conclusion
- Knowledge Check
- Overview
- Classification and Its Types
- Logistic Regression
- Support Vector Machines
- Demo: Support Vector Machines
- K-Nearest Neighbours
- Naive Bayes Classifier
- Demo: Naive Bayes Classifier
- Decision Tree Classification
- Demo: Decision Tree Classification
- Random Forest Classification
- Evaluating Classifier Models
- Demo: K-Fold Cross Validation
- Conclusion
- Knowledge Check
- Overview
- Introduction to Clustering
- Clustering Methods
- Demo: K-means Clustering
- Demo: Hierarchical Clustering
- Conclusion
- Knowledge Check
- Overview
- Association Rule
- Apriori Algorithm
- Demo: Apriori Algorithm
- Conclusion
- Knowledge Check
Data Science With R Online Training FAQ’s:
Both have different purposes and both are useful.
Python is a general programming language used more in machine learning workflows.
R is used for graphical and statistical computing .
You have to write the proctored exam for R certification in the Prometric center. This Data Science with R course will help you to take and pass the exam confidently.
Yes, we provide the certification on completion of the course. This certification will make you stand out in the programming market and get hired easily.
If you are having a statistical background in mathematics and have a flair for learning programming then it's an easy job.
Yes, data science with R jobs is among the highest paid in the US. The job market for such professionals is growing.
Yes, we provide R for data science exercises and solutions.
The different Job roles in R language are.
R programmer
R developer
Data analyst
Data scientist.
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