Ementorhub

What you'll learn

Identify the core functionalities of data modeling in the data mining pipeline

Apply techniques that can be used to accomplish the core functionalities of data modeling and explain how they work.

Evaluate data modeling techniques, determine which is most suitable for a particular task, and identify potential improvements.

Skills you'll gain

Supervised Learning

Big Data

Text Mining

Statistical Analysis

Anomaly Detection

Machine Learning Methods

Classification And Regression Tree (CART)

Artificial Neural Networks

Data Mining

Machine Learning Algorithms

Advanced Analytics

Data Science

Algorithms

Exploratory Data Analysis

Predictive Modeling

Statistical Machine Learning

Unsupervised Learning

Data Analysis

Unstructured Data

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 Lachlan Cormie, available here on Unsplash: https://unsplash.com/photos/jbJp18srifE

Classification

Clustering

Outlier Analysis