Data Science with R
About Data Science with R
To manage, store, and analyze data in data science, R is utilized. It may be applied to statistical modeling and data analysis. R is a statistical analysis environment. R contains a number of statistical and graphical features.
Data Science with R has gained immense popularity across the globe resulting in huge demand for certified professionals.
Why is Data Science with R important?
R is the perfect tool for manipulating data. It permits the use of a number of preprocessed packages, greatly simplifying data wrangling. One of the key reasons R is favored in the data science field is because of this. The ggplot2 package, which R offers, is well known for its visualizations.
Data Science with R certified professionals, executives and managers are in high demand in companies across the globe.
Who should take the Data Science with R Exam?
- Managers
- Data Scientists
- Machine Learning Engineers
- R Programmers
- Data Analysts & Advanced Data Analytics Professionals
- Software Engineers
- Developers
- Chief Technology Officers (CTOs)
- Statisticians and Data Science Researchers
- Data Engineers
- R Programmers Analytics
- Python programmer
- Data Science Engineers
Knowledge and Skills required for the Data Science with R
Specific skills are needed to excel in career of data science with R which includes analytical bent of mind and quick learning skills.
Data Science with R Practice Exam Objectives
Data Science with R exam focuses on assessing your skills and knowledge in data science and R language.
Data Science with R Practice Exam Pre-requisite
There are no prerequisites for the Data Science with R exam. Candidates who are well versed in data science and R language can easily clear the exam.
Data Science with R Certification Course Outline
- Overview of Data Science with R
- Learning Path for Data Science
- Data Collection and management
- Model deployment
- Loading data into R
- Data Science and Machine Learning
- Cleaning of data
- R Cross-validation
- Data Transformation
- Linear Regression
- Clustering
- K-means algorithm
- Unsupervised Methods
- Decision tree
Exam Format and Information
Certification name – Certificate in Data Science with R
Exam duration – 60 minutes
Exam type - Multiple Choice Questions
Eligibility / pre-requisite - None
Exam language - English
Exam format - Online
Passing score - 25
Exam Fees - INR 1199