Data Mining and the Analytics Workflow

Data mining is a powerful set of techniques used to discover patterns within large datasets. Essentially, it's the application of machine learning to big data, and remains incredibly relevant in today's data-driven world. This course, Data Mining and the Analytics Workflow, equips you with the ability to frame your business challenges as data mining problems and apply the proven CRISP-DM methodology to effectively solve them.

You'll begin by exploring association rule learning, a foundational data mining application that predates the current surge in machine learning. Understand its relationship to modern recommender systems.

The course clarifies how big data and machine learning are integral components of data mining, while acknowledging the continued importance of traditional approaches like statistics and information retrieval.

Finally, you'll master CRISP-DM, an industry-standard process for developing data mining applications. This robust technique, developed over two decades ago, closely aligns with contemporary machine learning workflows.

Upon completion, you’ll possess the skills to design and implement effective data mining solutions leveraging machine learning on big data to address specific business needs. Learn how to unlock valuable insights from your data!