This Data Science test assesses candidates’ skills in core topics of statistics; fundamentals of data science and programming; machine learning; and neural networks. The test is designed to help you identify mid-level data scientists.

The field of data science is a broad and complex one, requiring not only an understanding of statistics and probability theory but also the ability to work with data in practical, meaningful ways. Hiring candidates proficient in these areas can help your organization unlock insights from vast amounts of data, drive strategic decision-making processes, and stay competitive in today's data-driven market.

This Data Science test evaluates candidates' abilities across key skill areas:

- Statistics

- Fundamentals of data science and programming

- Machine learning

- Neural networks

- Deep learning

These components are crucial for any professional working within the field as they form the foundation for sophisticated analysis and predictive modelling.

This screening test will assist you in identifying individuals who can:

- Effectively translate raw information into actionable strategies

- Demonstrate their capacity to use advanced techniques

- Machine learning algorithms

- Neural networks to derive valuable insights from large datasets

- Accurate forecasting models

- Better customer segmentation strategies

- New product ideas based on trend analysis

To evaluate these data science skills, this data science uses real-world data challenges to generate questions that evaluate important data science skills. The results from this assessment will allow you to make confident hiring decisions that contribute positively towards your business objectives.