Data Science Coding Tests by WeCP
According to world economic forum data science is the new race for talents around the world. Although data science professionals form a smaller part of the current total workforce, the surging skill demand trends suggest that candidates with data science expertise are among the highest in-demand roles.
“The Need For Data Science Skill Is Not Just Limited To Technologically Niche Companies, It Is Rapidly Evolving As The Core Function Of Companies In Various Industries.”
WeCP customer’s demand indicates that among the six skill clusters listed below, Statistical Programming, Machine Learning, and Data Visualisation are the top competencies that companies seek from the candidates.
Why do companies need a testing tool to evaluate the skill level in a potential data science candidate?
One of the basic needs for a testing tool is to do immediate grading and thus save time and cost from the manual evaluation. The other critical reason is to prevent potential chances of academic dishonesty by candidates such as plagiarism and impersonation to get hired.
However, in contemporary hiring setup, assessments achieve more. Today assessment tools have become data-driven and more powerful than before. Thus, finding people who are dependable and productive is not so hard. There are scientifically proven evaluation methods that approximately filters out such candidates from the bigger pool.
How does WeCP Evaluates Data Science Skills?
To holistically measure someone’s data science competence in a timeboxed online test, WeCP relies on three fundamental evaluation guidelines.
- Check knowledge on concepts such as Mathematics, Statistics, Machine Learning, Data Science Tools, and Techniques etcetera.
- Check the thinking level on the above skills by presenting real-world situations.
- Check the hands-on expertise of candidates to check if they can do real stuff or not. Hence you ask them either: a) write a program using data science libraries of candidate’s choice to achieve results b) develop a machine learning model and train it using real datasets c) perform data visualization using plots and given datasets.
Both #1 and #2 can be assessed by objective methods but to auto-evaluate #3 the assessment tool should be capable of providing the hands-on interface and a robust evaluation engine.
WeCP Data Science Assessments are trusted by top companies around the world. If you’re ready to screen data science techies, Request a demo and get started.
