Planning models for data analytics | Intellipaat
Model planning is the third stage of the data analytics lifecycle. At this step, decisions are made regarding the team's methodology and model-building procedure.
The team focuses on the theory created during the discovery phase, when they first learned about the data and grasped the business issues or topic.
Typical Resources for the Model Planning Phase:
Obtaining a Data Science Training is vital for upskilling and staying current in the workplace.
- The company's key advantage is how easily it produces plots of excellent quality, using formulas where appropriate.
- The most well-known application of SQL is as the basis for the development of dashboards, which are simple to construct and make use of with reporting tools.
- Microsoft Access and PostgreSQL are just two examples of the technologies to which SQL has been adapted, each of which has an own market.