Data Analysis with R

About Data Analysis with R

R programming language is an open-source language used for statistical computation or graphics, and R analytics is data analytics utilizing R programming language. This programming language is frequently employed in data mining and statistical analysis. It may be applied to analytics to find trends and create useful models.

Data Analysis with R has gained immense popularity across the globe resulting in huge demand for certified professionals.

Why is Data Analysis with R important?

As R features static visuals that generate high-quality data visualizations, many data scientists utilize it for studying data. Additionally, the programming language contains a sizable library that offers interactive visuals and facilitates the analysis of data visualization and representation.

The ability of R to interact with NoSQL databases and analyze unstructured data is another crucial feature. In Data Science applications where a pool of data has to be evaluated, this is particularly helpful. R allows data scientists to use machine learning algorithms to learn about the future.

Data Analysis with R certified professionals, executives and managers are in high demand in companies across the globe.

Who should take the Data Analysis with R Exam?

• Data Scientists
  
• R Programmer
• Data Analyst
• Stategy Analyst
• Statistical Programmer
• Python Professionals

Knowledge and Skills required for the Data Analysis with R

Critical thinking and communication skills helps candidate to gain quick success for career in data analysis with R.

Data Analysis with R Practice Exam Objectives

Data Analysis with R exam focuses on assessing your skills and knowledge in data analysis and R programming language.

Data Analysis with R Practice Exam Pre-requisite

There are no prerequisites for the Data Analysis with R exam. Candidates who are well versed  in data analysis and R programming language can easily clear the exam.

Data Analysis with R Certification Course Outline

1. Exploratory data analysis (EDA)
2. R Basics
3. Explore One Variable
4. Explore Two Variables
5. Explore Many Variables
6. Diamonds and Price Predictions

Exam Format and Information

Certification name – Certificate in Data Analysis 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