Anomaly Detection
In this course you will learn how to examine data with the goal of detecting anomalies or abnormal instances.
Courses – Using Python
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Deep Learning
This course will introduce you to the essential techniques of text mining as the extension of data mining’s standard predictive methods to unstructured text.
Introduction to NLP and Text Mining
This course will teach you the essential techniques of text mining, understood here as the extension of data mining’s standard predictive methods to unstructured text.
Introduction to Python Programming
This course will introduce you to the basics of programming in Python on either Windows or Mac platform.
Persuasion Analytics and Targeting
This course will teach you how to apply predictive modeling methods to identify persuadable individuals and to target voters in political campaigns.
Predictive Analytics 1 – Machine Learning Tools with Python
This course introduces to the basic concepts in predictive analytics, with a focus on Python, to visualize and explore data that account for most business applications of predictive modeling: classification and prediction.
Predictive Analytics 2 – Neural Nets and Regression with Python
As a continuation of Predictive Analytics 1, this course introduces to the basic concepts in predictive analytics, with a focus on Python, to visualize and explore predictive modeling.
Predictive Analytics 3 – Dimension Reduction, Clustering, and Association Rules with Python
This course, with a focus on Python, will teach you key unsupervised learning techniques of association rules – principal components analysis, and clustering – and will include an integration of supervised and unsupervised learning techniques.
Python for Analytics
This course will teach you the basic Python skills and data structures; how to load data from different sources, rearrange, and aggregate it; and finally how to analyze and visualize it to create high-quality products.