Text Analytics, Text Mining Courses on Statistics.com

Text analytics or text mining is the natural extension of predictive analytics, and Statistics.com's text analytics program begin in May. Text analytics is now ubiquitous and yields insight in:

• Marketing: Voice of the customer, social media analysis, churn analysis, market research, survey analysis
• Business: Competitive intelligence, document categorization, human resources (voice of the employee), records retention, risk analysis, website faceted navigation
• Industry specific: Fraud detection, e-discovery, warranty analysis, medical analytics research

 
Are you prepared? You may already have the machine learning and python skills needed for text analytics; if not you can learn them in:

Predictive Analytics, (May 29), and

Introduction to Python for Analytics, (May 15th)

THE TEXT ANALYTICS SEQUENCE:

1: Text Mining (June 12)

Learn to pilot, implement or analyze data mining methods aimed at data containing unstructured text (forms, surveys, etc.).

2: Natural Language Processing (July 17)

Introduction to the algorithms, techniques and software used in natural language processing (NLP)

3: Natural Language Processing Using NLTK (Sept 18)

Introduce natural language processing (NLP) processes into your projects and software applications. NLTK provides cutting edge linguistic and machine learning tools that are on par with traditional NLP frameworks and allows you to quickly and easily analyze text data in larger applications.

4: Sentiment Analysis May 8-29 and Aug 21 - Sep 11.

Introduction to the algorithms, techniques and software used in sentiment analysis, illustrated by reference to existing applications, particularly product reviews and opinion mining.