Learn the data cleansing skills and processes necessary to ensure the integrity and quality of your data and why it’s essential for accurate analysis and reporting.
Learning Objectives
- Learning Outcomes
- Distinguish between data mining and related terms.
- Recognize the data analytics framework’s role in a data mining project.
- Identify the goals and benefits of data mining.
- Recognize the tasks associated with building a data mining model.
- Identify the concept of clustering as a descriptive data mining technique.
- Identify the appropriate data mining techniques and algorithms for predictive analytics.
- Recognize how clustering techniques can be applied in practice.
- Recognize how regression techniques can be applied in practice.
- Recognize tools and programs that can be used for data mining and modeling.
