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.
