Top platforms to assess skills of data scientists in 2022
A data scientist should be knowledgeable in three major areas – mathematics and statistics, programming, and understanding of business problems. As data science job roles are extremely rewarding, it has become quite common for applicants to fluff up their resumes and sometimes put down skills which they may not possess—to bag the job they want. From a hiring perspective, it becomes really important to correctly gauge the applicant’s aptitude and identify whether they are a perfect fit for the job role. Several platforms have come up that offer quizzes and assessments related to data science and programming concepts that can help both the recruiters and aspirants understand their skill level and ways to improve. MachineHack Assessments MachineHack Assessments is a popular choice for data science and data engineering professionals to test their skills. Here, one can assess their knowledge in almost all machine learning concepts. If they achieve 80 per cent and above, they collect a skill badge that is showcased in their profile. It contains tests on statistics, Python, data analysis and visualisation. There is also guidance on interview preparation such as data engineer mock interview series, machine learning engineer mock interview series, data scientist mock interviews, and tests on exam preparations. These include mocks on Algebra (Matrix Manipulation) for Data Scientists, Microsoft Certified: Azure AI Fundamentals, AWS Certified Data Analytics – Specialty, among others. Recruiters can login here, to create custom assessments and share with their candidates. The platform is free for organizations and there are tons of cool features like sharing pre-existing hackathons with candidates to assess their skills against thousands of data scientists. Register here and explore this in-depth platform. DataCamp Signal DataCamp Signal has assessments to help candidates hone their data science skills. Each assessment gives the applicant personalised learning recommendations to know what has to be done to build their skills. Their tests are adaptive, and question-difficulty automatically adjusts based on each learner’s performance. Some popular assessments include understanding and interpreting data, statistical fundamentals with R, importing and cleaning data with Python, statistical fundamentals with Python, data visualisation with R and Python, data manipulation with R, etc. TestGorilla data science test The data science test will assess the candidates’ skills in areas such as statistics, machine learning, neural networks, and deep learning. It is intended to select entry- and mid-level data scientists. The core skills covered here are data science and programming fundamentals, machine learning, deep learning, and neural networks. TestGorilla claims that these tests are suitable to hire data analysts (advanced), forecasting analysts, modelling analysts, machine learning scientists and other roles that need a sound knowledge of data science. TestDome data science test The data science test assesses the applicants’ skills to analyse data, extract information, and help decision-making. It also helps understand the candidates’ skills in using Python and its libraries like NumPy, Pandas, and SciPy. The test also needs the candidates to show their ability to apply probability and statistics when solving data science problems. TestDome says that the test is suitable for pre-employment screening. DevSkiller data science test DevSkiller says that its data science online tests have been formulated to help test for all levels of roles – junior, middle, and senior. They are suitable for technical screening and online interviews. The company also said their tests are built on the RealLifeTesting methodology. This tests candidates with real-world scenarios that they can face on their first day at work. It is more practically built and tests skills in time management, critical and logical thinking, coding skills, and not just on academic knowledge. Some of the skills covered in these tests are data analysis with Python, SQL, Panda, dimensional modelling, SQLite, machine learning, data structures, NumPy, etc. LinkedIn skill assessment The LinkedIn Skill Assessments help candidates show the skills that they have added to their profile by completing assessments related to them specifically. Usually, an assessment consists of 15 multiple choice questions and each question tests at least one concept or subskill. It is timed and has to be completed in one session only. If the candidate passes the assessment, recruiters can see the badge on their profile if they want to display it. There are three types of assessments – for business, technical and design skills. In the technical segment, there are assessments for SQL, R, Python, Java, and machine learning, among others. In the business section, candidates can be tested for Power BI, Microsoft Excel, etc.
Several platforms have come up that include quizzes and assessments related to data science and programming concepts that can help both the recruiters and aspirants understand their skill level and ways to improve.
Several platforms have come up that include quizzes and assessments related to data science and programming concepts that can help both the recruiters and aspirants understand their skill level and ways to improve.
["AI (Artificial Intelligence)", "Data Science", "Data Scientist", "Deep Learning", "Machine Learning", "Python"]
["data science", "NumPy", "machine learning", "AWS", "AI", "neural network", "Machine Learning", "Python", "Aim", "deep learning", "analytics", "Deep Learning", "Data Science", "Data Scientist", "AI (Artificial Intelligence)", "Pandas"]
["AI", "machine learning", "deep learning", "neural network", "data science", "analytics", "Aim", "Pandas", "NumPy", "AWS"]
I am a technology journalist at AIM. What gets me excited is deep-diving into new-age technologies and analysing how they impact us for the greater good.

Reach me at sreejani.bhattacharyya@analyticsindiamag.com