Automated data science

Data science is a field that combines computer science, statistics, and business analytics to extract knowledge and insights from data. Data scientists use a variety of tools and techniques to collect, clean, analyze, and visualize data. They then use this information to help businesses make better decisions. The responsibilities of a data scientist are wide-ranging and often involve multiple steps that vary depending on the specific role and industry. Tasks include data collecting, cleaning, analyzing, and visualizing. Data scientists are also tasked with building predictive models to help in decision-making processes. All the tasks mentioned are crucial to data science but can be time-consuming and complex.

Automating various aspects of the data science workflow allows data scientists to focus more on creative problem-solving while enhancing productivity. Recent tools are making different stages of the process more efficient by enabling faster iterations...