Data Scientist with Python Test

Topics covered

  • Python and Libraries
  • Data Mining
  • Data Wrangling and Correction
  • Classification and Regression Algorithms
  • SQLite
  • Test Duration: 60 minutes
  • No. of Questions: 23
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About Data Scientist with Python Test

Data science experts have continued with their increasing development in the Python for data analysis. This process mostly includes learning the Python fundamentals in the data science domain along with learning the few Python data science libraries for example: NumPy, Pandas, Matplotlib, Scikit-Learn, etc. During this process, building a portfolio is also important i.e. by adapting Data Cleansing Projects, Data Visualization Projects, Machine Learning Projects, etc. Hence, Python is used at every step in the data science process for e.g. data scientists can use Python and Panda’s library to clean and sort the data into a data frame (table) which is ready for analysis, exploring, and visualizing the data.

Data scientist with Python test helps tech recruiters and hiring managers to assess candidate’s data science with Python skills. Data scientist with Python technical test is designed by experienced subject matter experts (SMEs) to evaluate and hire data scientist with Python as per the industry standards.
 
Data scientist with Python screening test helps to screen the candidates who possess traits as follows:
 

  • Good experience in Python languages and its libraries like NumPy, Panda, etc.
  • Knowledge of data mining and data visualization techniques
  • Strong knowledge of data wrangling, analysis, and sorting of data in Data Science
  • Understanding of regression algorithms and techniques
  • Knowledge of SQLite concepts
Data scientist with Python test has a powerful reporting feature that will help you get an instant result and share this result with your recruiting team. You can use ready-to-use assessment or ask us to custom made the skills assessment as per your job description.

Data science with Python test may contain MCQs (Multiple Choice Questions), MAQs (Multiple Answer Questions), Fill in the Blanks, Whiteboard Questions, Audio / Video Questions, LogicBox (AI-based Pseudo-Coding Platform), Coding Simulators, True or False Questions, etc. 

This Data Scientist with Python Test is useful for hiring

  • Data Scientist using Python 
  • Python Data Analyst
  • Python Developer 
  • Machine Learning Developer