Stay ahead by continuously learning and advancing your career.. Learn More

Data Science with R Practice Exam

description

Bookmark Enrolled Intermediate


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



Reviews

Data Science with R Practice Exam

Data Science with R Practice Exam

  • Test Code:1593-P
  • Availability:In Stock
  • $7.99

  • Ex Tax:$7.99



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