Data Wrangling with Python Test

Topics covered

  • Python
  • Data Science
  • Algorithms
  • Data Wrangling
  • Test Duration: 15 minutes
  • No. of Questions: 1
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About Data Wrangling with Python Test

Data Wrangling ( Data Munging ) with Python is a type of data science technique that is used effectively while coding data science problems. It mainly involves carrying out information processing in numerous ways such as merging, grouping, concatenating, etc. for analyzing and obtaining knowledge from data. Python has an inbuilt option to perform Data Wrangling and Correction and further obtain the knowledge sets to attain the required analytical goal. 

 
Data wrangling with Python test helps tech recruiters & hiring managers to assess candidate’s skills of using Python programming for data wrangling. Coding test for data wrangling with Python is designed by experienced subject matter experts (SMEs) to evaluate and hire data scientists as per the industry standards. 
 
 
Data wrangling with Python test helps to screen the candidates who possess traits as follows:   

  • Excellent Python programming skills for data wrangling and correction
  • Understanding of data, filtering unwanted data, using pivot, and melting the shifted data sets
  • Ability to use Python libraries like NumPy, Pandas, ScKit-learn for data wrangling
  • Excellent knowledge of data science concepts, steps, methods, and functions in Python 
 
Coding test for data wrangling with Python contains a coding simulator which will automatically evaluate and provide a score for the candidate’s written codes by compiling multiple test cases that generate discrete output. You will also get a detailed report for each test case execution along with execution-time and execution memory usage for the program written by the candidate. The Code-Replay feature records the coding screen of the candidate so that the reviewer can understand the coding and thinking patterns of the candidate.
 
This test may contain coding questions and innovative LogicBox (an AI-based pseudo coding platform) questions to assess a candidate's coding skills in a fun & quick way.

This Data Wrangling with Python Test is useful for hiring

  • Data Scientists
  • Data Science Engineer
  • Data Science Developer
  • Data Science Associate
  • Data Analyst
  • Data Visualization Specialist