Data Science Process and CRISP-DM

Start with the business context

Begin with the mind map Understanding the business. It brings together data science, data analytics, big data and the CRISP-DM methodology. Use it to see how the resource connects data and analysis with business questions.

As you read, make a note of the terms you want to understand better. You can then look for those terms in the other maps on this page. The maps offer different ways to organize related ideas, so comparing them can help you follow the connections.

Explore the process

Next, open Data Science and Data analytics. This map includes CRISP-DM methodology alongside topics such as key performance indicators and the data scientist career path. Use it to place the methodology among the other ideas in the map.

Another mind map covers data acquisition, preparation and modeling. It mentions sources such as databases and APIs, as well as cleaning and transforming data. Look at these parts after the business-focused map to explore how the listed resources describe working with data.

Use the quiz with the maps

The Knowledge Check quiz includes a question about the last step of an iteration in the CRISP-DM process. Try it after exploring the maps, then return to the relevant material if you want to review a term or connection. You can also compare what the maps emphasize before taking another look at the question.

This topic is one section of Introduction to Data Science, in Databases and data science. Use the maps and quiz together as a way into the material listed here. When you are ready, choose a map and follow the ideas through to the quiz.