Ementorhub

What you'll learn

Identify the key components of the data mining pipeline and describe how they're related.

Identify particular challenges presented by each component of the data mining pipeline.

Apply techniques to address challenges in each component of the data mining pipeline.

Skills you'll gain

Data Mining

Data Pipelines

Data Analysis

Exploratory Data Analysis

Data Processing

Data Warehousing

Data Integration

Descriptive Analytics

Data Transformation

Data Cleansing

Data Modeling

Applied Machine Learning

Data Quality

There are 4 modules in this course

This course can be taken for academic credit as part of CU Boulder’s MS in Data Science or MS in Computer Science degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Data Science: https://www.coursera.org/degrees/master-of-science-data-science-boulder MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder Course logo image courtesy of Francesco Ungaro, available here on Unsplash: https://unsplash.com/photos/C89G61oKDDA

Data Understanding

Data Preprocessing

Data Warehousing