Speed v Perfection for Accelerating Data Science

Data is critical for any enterprise that enables smart and informed business decisions. The operational challenges involved in today’s business landscape are forcing enterprises to adopt a data-driven strategy to enhance business processes and gain a competitive advantage in the market. Interpreting the raw data involves a complex process of preparing it for extensive analysis. Data science involves the following components: 1. Defining a problem 2. Extracting the Data 3. Filtering the valuable Data, and 4. Data Interpretation.

Download this eBook to understand the lifecycle of a data science project, challenges faced by data analysts, and the best practices to implement while building a data analytics CoE in an organization.