Technical interview Part 1 - General Data science - Google Colab notebook - Install packages (pandas, numpy, matplotib) - Download and import dataset (bike share company dataset) - Provide a sample of the data - Show a summary of the dataset. Be able to explain datatypes - Explain interquartile ranges - Extract distribution of a single column - Create a chart with this data - Describe the distribution of data - Describe correlation coefficient Part 2 - Machine Learning - View a machine learning model and explain how it works - View code for linear regression and be able to explain the math behind it.
Data Science Engineer Interview Questions
10,877 data science engineer interview questions shared by candidates
Python programming,SQL coding,Machine learning MCQs', Statistics
* Can u explain your application procedure (they asked me this +5 times) * What would you say to your family about Avertim?
Tthink of a Business Case of an online learning platform and present it.
How much exposure to semiconductors have you had over the course of your college career?
Als je uit alle trainingen één training zou mogen kiezen, welke kies je dan?
The most difficult (and interesting) is a test: 2 csv files with purchases and views. Candidate has to find anomalies in the data.
2 questions total; 1 question was on file I/O and the other one was on intermediate/advanced SQL
What programming languages are you proficient in? Can you provide an example of a project where you applied these skills? How do you handle large datasets in a computing environment (e.g., Python, R)? Have you used any specific tools or frameworks for data analysis or machine learnin
Q: Implementing a machine learning model. Feature scaling etc.
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