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Overview
The “Data Mining Pipeline” course provides a comprehensive guide to the end-to-end process of extracting meaningful insights from raw data through a structured sequence of steps. This course is ideal for data scientists, analysts, and anyone interested in mastering the workflow that transforms data into actionable knowledge. Participants will learn each stage of the data mining pipeline, starting with data collection and preprocessing, including cleaning, normalization, and feature engineering. The course then covers exploratory data analysis to identify patterns and...
Syllabus
- Data Mining Pipeline
- This week provides you with an introduction to the Data Mining Specialization and this course, Data Mining Pipeline. As you begin, you will get introduced to the four views of data mining and the key components in the data mining pipeline.
- Data Understanding
- This week covers data understanding by identifying key data properties and applying techniques to characterize different datasets.
- Data Preprocessing
- This week explains why data preprocessing is needed and what techniques can be used to preprocess data.
- Data Warehousing
- This week covers the key characteristics of data warehousing and the techniques to support data warehousing.
University of Colorado Boulder via Coursera
21 hours 28 minutes
Paid Certificate Available
English
On-Demand
Intermediate
Instructor
Qin (Christine) Lv
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