Text Mining & Analytics
Online Advanced Course Series
This series of courses is for you if:
- You are a data scientist, familiar with Python and predictive modeling, and looking to add text mining and natural language processing to your skill set.
The Text Analytics series consists of four courses offered completely online at Statistics.com, for a total of 15 weeks of class time. The workload is approximately 15 hours per week. In this Program you will learn how to:
- Perform tokenization and create dictionaries, to prepare text for classification
- Create numerical vectors from text data
- Build classifiers to tag documents
- Cluster documents
- Perform part-of-speech tagging
- Perform entity resolution
- Conduct syntactic parsing
- Conduct topic extraction
- Retrieve opinions
Planning my Program
Natural Language Processing
This course is designed to give you an introduction to the algorithms, techniques and software used in natural language processing (NLP). Tuition: $469 (5.0 CEUs) Next three dates:March 02, 2018 to March 30, 2018July 13, 2018 to August 10, 2018show more dates >> Learn more and register >>
Natural Language Processing Using NLTK
After taking this course you will be equipped to introduce natural language processing (NLP) processes into your projects and software applications. Tuition: $469 (5.0 CEUs) Next three dates:September 15, 2017 to October 13, 2017September 14, 2018 to October 12, 2018show more dates >> Learn more and register >>
Sentiment Analysis refers to the process of identifying, extracting and classifying opinions in text segments. With the rise of social media and the ability of end-users to express and share their personal views easily, the need to automatically gauge user-sentiment has become increasingly important for CRM, online advertising and brand analysis. Tuition: $389 (3.75 CEUs) Next three dates:August 18, 2017 to September 08, 2017August 17, 2018 to September 07, 2018show more dates >> Learn more and register >>
This course will introduce the essential techniques of text mining, understood here as the extension of data mining's standard predictive methods to unstructured text. Tuition: $469 (5.0 CEUs) Next three dates:February 02, 2018 to March 02, 2018June 08, 2018 to July 06, 2018show more dates >> Learn more and register >>
Tuition and Fees: $5000
The above estimate includes the program registration fee, and individual course fees. It reflects considerable savings that are available if you pay the program cost upon enrollment. You also have the option of paying in monthly installments, or on a course-by-course basis:
- Pay for your program upon enrollment: $5000
- Pay in 18 monthly installments: $290/month
- Pay as you go: $2,666
Is there an application deadline?
Applications are accepted throughout the year, with cutoff dates one week prior to program start dates. See the timeline tool in the "Program" tab to see the recommended sequence of courses starting in any given month.
Are there admission requirements?
We'd like you to have a Bachelor's degree from an accredited college or university.
You should also have some familiarity with Python programming, and with predictive modeling for numeric data.
What are the fees?
The application fee is $75, which you can pay here. The enrollment fee is $195. Once you are enrolled, you pay course tuition fees "as you go," at the discounted academic rate.
Is there any particular way I should schedule my courses?
The course sequence in the program is offered twice, once starting in February and once in June, except that Sentiment Analysis is just offered once.
Can I get credit for courses I have already taken at Statistics.com?
Yes. You can apply up to two prior courses to your program, provided you got adequate marks.
If I have already mastered a topic from my work or prior academic experience, do I need to repeat it?
No. We do not want to waste your time. Just share with us how you covered the topic and we'll swap out that course for something else.
How long do I have to complete the PASS certificate?
Are the certificate programs accredited?
Most of the individual courses in the Data Science certificate programs have been approved for academic credit recommendation by the American Council on Education (ACE), which makes it relatively easy to transfer academic credit for these courses to another educational institution. Those same courses have also been approved as recognized professional development courses by INFORMS, the Operations Research Society. The Institute for Statistics Education is not itself accredited as an academic institution.
Still have questions?
Contact the Registrar (ourcourses [at] statistics.com) and we'll try to answer them as well as possible.
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