Data Science with R Practice Exam

 

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

 

1. Overview of Data Science with R
2. Learning Path for Data Science
3. Data Collection and management
4. Model deployment
5. Loading data into R
6. Data Science and Machine Learning
7. Cleaning of data
8. R Cross-validation
9. Data Transformation
10. Linear Regression
11. Clustering
12. K-means algorithm
13. Unsupervised Methods
14. 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