Python Data Science coding test is for recruiters and hiring managers to assess the Python skills of a data scientist. Our Python Data Science coding test helped many enterprises to identify the right fit candidates and reduce time-to-hire by 40% & hiring costs by 45%.
Data science experts have continued with their increasing development in Python for data analysis. This process mostly includes learning the Python fundamentals in the data science domain along with learning a 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.
Python Data Science coding test helps tech recruiters and hiring managers to assess candidates’ data science with Python skills. Data scientist with Python technical test is designed by experienced Subject Matter Experts (SME) to evaluate and hire data scientists with Python as per the industry standards.
Test Duration: 60 minutes
No. of Questions: 23
Level of Expertise: Entry/Mid/Senior
Our Python Data Science test assesses a candidate's ability to work on python and also checks knowledge of libraries
iMocha's Python Data Science coding test evaluates the ability to data analysis, data mining & wrangling to draw the right conclusion and support decision making
The Python Coding Test For Data Science checks proficiency in SQLite coding to understand the candidate's knowledge of handling data
Python Data science test assesses a candidate's knowledge of Classification and Regression to evaluate the relationship between two or more independent variables
Choose from our 100,000+ question library or add your own questions to make powerful custom tests
Classification and Regression Algorithms
View Full Report . . .
Choose easy, medium or hard questions from our skill libraries to assess candidates of different experience levels.
Add multiple skills in a single test to create an effective assessment. Assess multiple skills together.
Add, edit or bulk upload your own coding questions, MCQ, whiteboarding questions & more.
Get a tailored assessment created with the help of our subject matter experts to ensure effective screening.
“Siemens needed an employee review metric that was based on pure data, making it simpler for the hiring managers to evaluate their team. At the same time, we wanted the employees to be able to show case their domain knowledge and skills without the fear of any biases affecting their review process.”