This two part challenge aims to test your understanding of how you can interact with data and explore it to unveil important hidden information as well as craft visualizations that spotlight various aspects of the dataset.
Latest From Our Blog
Seasoned recruiters and developers share insights on the candidate experience and reveal what programmers love vs. what they hate about the technical hiring process.
CoderPad veteran Jonathan Geggatt explains how he made his first data science hire, and offers some advice to make yours go as smooth as possible.
Read on to find two curated technical interview questions designed to help you assess the expertise and problem-solving abilities of your data science candidates.
CoderPad is on a mission to create a more inclusive and strong tech community. Since our inception, we’ve focused on building a technical hiring platform that lets companies standardize their interview process and evaluate candidates based on their skills. With the advances in AI and tech, these skills are changing fast. So today, we are […]
Read about Jenny Jongejan’s custom-built, four-step framework for an effective standardized recruitment process.
CoderPad Announces Integration of Jupyter Notebooks to Elevate Data Science Interviews that Replicate Everyday Work; Strengthen Hiring Decisions
CoderPad now supports four types of Jupyter Notebook, Minimal, R, TensorFlow, SciPy. Upleveling the interview process for data science candidates.
Whether you’re new to Jupyter Notebooks, or an expert, you’ll find some useful tips to use in your next data science interview.
CoderPad today announced their partnership with NachoNacho, a one-stop-shop for businesses to manage, discover and save on all their SaaS products.
Learn more about the great things coming your way.