Data Analytics (with R)
Data Analytics (with R)
Data Analytics (with R) Practice Exam Questions
R analytics (or R programming language) is amongst the free, open-source software used by professionals for all kinds of data science, statistics, and visualization projects. R programming language is amongst the most powerful, versatile languages with the ability to be integrated into BI platforms like Sisense, to assist with handling business-critical data.
Course Outline
The Data Analytics (with R) Practice Exam covers topics including -
- Module 1 - Introduction
- Module 2 - Descriptive Statistical Measures
- Module 3 - Probability Distributions
- Module 4 - Sampling and Estimation
- Module 5 - Statistical Inference
- Module 6 - R Programming Language Introduction
- Module 7- Reading Data from files
- Module 8 - Probability Distributions
- Module 9 - Statistical Models in R
- Module 10 - R Graphics Facilities
- Module 11 - R Data Import/Export
Exam Format and Information
| Exam Name Data Analytics (with R) | Exam Code - |
| Exam Duration 60 mins | Exam Format Multiple Choice and Multi-Response Questions |
| Exam Type Cloud Computing | Number of Questions 50 Questions |
| Eligibility/Pre-Requisite NIL | Exam Status Live |
| Exam Language English, Japanese, Chinese (Simplified), Korean | Pass Score 700 (on a scale of 1-1000) |
Data Analytics (with R) FAQs
What is the exam objective for this exam?
Exam has been built with the focus on -
- Module 1 - Introduction
- Module 2 - Descriptive Statistical Measures
- Module 3 - Probability Distributions
- Module 4 - Sampling and Estimation
- Module 5 - Statistical Inference
- Module 6 - R Programming Language Introduction
- Module 7- Reading Data from files
- Module 8 - Probability Distributions
- Module 9 - Statistical Models in R
- Module 10 - R Graphics Facilities
- Module 11 - R Data Import/Export
5. What are the career prospects for professionals working in the field of Data Analytics (with R)?
- Data Scientist.
- Data Engineer.
- Data Analyst.
- Machine Learning Engineer.
- Data Journalist.
- Database Admin.
- Financial Analyst.
- Business Analyst.
What are the skills required for this exam?
- Microsoft Excel.
- Critical Thinking
- R or Python–Statistical Programming.
- Data Visualization.
- Presentation Skills.
- Machine Learning.
- SQL
1. What is the importance of R-software in data analytics?
R-Software is one of the most important as well as a popular programming tools that is used by almost every organisation. Data analysis professionals are the ones with all the basic knowledge of R. They are responsible for providing simulations, data analyses and data visualizations with the R package. These professionals are highly in demand by every sector to design and develop their technical architecture as well as for preparing scripts for proper data access and formulation.
Who can give this exam?
- Software engineers
- Web developers
- Programmers
- Bachelor’s in science and CS