Data Science
The goal of the Data Science experience in Microsoft Fabric is to empower data scientists, developers, and business users to develop a complete end-to-end data science workflow for data enrichment (acquisition, transformation, data exploration, and feature engineering) and predictive business insights with artificial intelligence (AI) and ML-based models. It empowers you, as a data scientist and developer, to execute a wide range of tasks across the entire data science process, starting from data exploration, preparation, and cleansing to experimentation, feature engineering, model training, model scoring, and serving predictive insights to end users, BI reports, or other tools.
When you switch to the Data Science experience, you will find these options to work with:
Figure 2.25 – Data Science workload options
Having learned about the data science capabilities in Fabric, it’s time to dive deep into some of these capabilities...
