Data Science and Analytics Tests Include
SQL
Industry-backed SQL challenges testing skills including joins, filtering, aggregate functions, subqueries, and more.
Python
Python coding tests demonstrating candidates abilities to work with functions, various data types, and the Pandas library.
R
R coding tests proving candidates’ mastery of functions and various data types.
Statistics
Fundamental statistics questions examining statistical knowledge needed to approach data science and analytics problems.
Data Interpretation
Unique questions ensuring job applicants can understand prepared data visualizations and interpret the significance.
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Check out some of our favorite free and cheap resources we’ve compiled to help you prepare for our exam to land you a job as a Data Scientist or Analyst.