Online R Test for assessing and identifying the best and the brightest

This online R assessment is a holistic way to measure candidates' skills in R programming, R libraries, and their hands-on programming abilities. The test evaluates R functions, general ability, and application of R DPLYR along with many other subskills. The test is easily customizable and offers detailed real-time reports that help make better decisions when hiring for positions in R programming. 

This 60-minute test includes 18 multiple choice questions (MCQs) and two coding problems to be solved in real-time on our R simulator. Designed by subject matter experts, the assessment evaluates the understanding of a candidate on three levels - basic, intermediate, and advanced. The test is intended to assess an applicant's knowledge and applied skills. 

Key profiles this R skills assessment is used for: 

• Data scientist 
• Data engineer 
• Machine learning engineer 
• Statistician 
• Data analyst 
• Business analyst 

Overview

An increasing number of organizations across industries have realized that business success, to a significant extent, is characterized by a firm's ability to gather, store, analyze, and productize data faster than its competition. Consequently, this big data revolution has increased the demand for data scientists/engineers with R programming, Hadoop, Python, and other such data skills. With machine learning and big data analytics guiding intelligence in nearly all Internet-linked devices, smartphones, and applications, R is a powerful yet versatile statistical tool that enables data analysts to make sense of large troves of data. They can use R programming to perform statistical data analysis quickly and more efficiently when compared to some other statistical analysis tools.

By 2027, the global big data market is expected to grow to 103 billion USD (about US$320 per person in the US). This projection underscores the underlying need for data scientists who can explore, analyze, model, and visualize data for businesses that base their operations on it. Therefore, excellent data science skills are essential for anyone envisioning a flourishing career in the sector. Furthermore, many data engineers, scientists, machine learning engineers, etc., prefer R over other languages owing to its usefulness and adaptability in data-related tasks. Interestingly, tech professionals can utilize several packages and libraries that enhance R’s functionality and simplify the task of data professionals. Unsurprisingly, R professionals are well-paid in different industries and highly sought after.

While hiring dedicated data professionals to add value to the organization, you must use an R Skills Test to assess a candidate's domain knowledge and identify the best person for the role. The R Test evaluates the candidate's technical competency in R and provides employers with actionable insights into the candidate's competencies. This test provides hiring managers with an objective understanding of how well-aligned a candidate is to the role in terms of skills, knowledge, and competencies. In addition, this R Test can significantly cut down the technical screening time helping employers find a job-fit candidate and reduce unnecessary hassles in large-scale recruitment drives.