This Power BI test evaluates candidates’ knowledge and understanding of the Power BI tool, its visualization features, functionalities and nuances, DAX functions, and more. The test helps you identify candidates who have experience using Power BI in projects.
Critical thinking tests assess the candidates' ability of structured thinking: to understand a premise from different perspectives, separating facts from assumptions, analyzing an argument, and reaching conclusions.
This Python Fundamentals test evaluates candidates’ knowledge of Python programming language, syntax, debugging, and predicting outputs. The test helps you identify candidates who have experience using Python.
This R Programming test evaluates candidates’ knowledge and understanding of R language for effective data science development. The test includes syntax, debugging, predicting outputs, concepts, and more.
Big 5 OCEAN Traits are a suggested grouping of personality traits into 5 broad categories. This idea is being studied since the 80s and has been tested empirically. O - Openness to experience, C - Conscientiousness, E - Extraversion, A - Agreeableness, and N - Neuroticism
This test assesses the candidates' basic understanding of the English language: grammatical units, vocabulary, and ability to understand English text from multiple perspectives in holistic ways.
This test measures the candidates' ability to infer relationships between a collection of shapes and patterns. This is one of the popular tests for measuring raw fluid intelligence and lateral thinking ability.
This test focuses more on assessing the ability to work with numbers, understanding of the numbers, seeing patterns, perform basic mathematical operations, and making precise and fast calculations.
Spatial visualization assesses the candidates' ability to think visually, spatially, and graphically in 3 Dimensions. This test is particularly relevant to STEM roles that demand visual thinking.
The Interpreting Data section assesses the candidate’s ability to understand graphically/tabular represented data, perform rudimentary statistical calculations, solve problems and make reasoned inferences.
The Machine learning test evaluates a candidate’s knowledge and conceptual understanding of ML algorithms, applications, and the knowledge of when to use what, for effective deployment for data science applications.