Text Mining and Analytics Mastery Series

Text Mining and Analytics Mastery Series

This Mastery Series covers the basics of text mining and Natural Language Processing (NLP), and methods of mining and analyzing text data using Python and NLTK – the Natural Language Tool Kit
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Overview

Today, the "big" in "big data" is coming increasingly from unstructured text. Mastering that text data is what text mining and analytics is all about. In this 3-course Mastery Series, you will cover the basics of text mining and Natural Language Processing (NLP) while learning important methods of mining and analyzing text data using Python and NLTK – the Natural Language Tool Kit.  This Series will enable you to perform meaningful analyses with text and apply them into your projects, software, and real-world applications so you can use these skills immediately in your work or learning practicum.

Who This Mastery Serves

Enroll in our Text Mining Mastery Series if you are a student or professional looking to unlock the power of to understand the basic concepts, principles, and major algorithms in text mining and their potential applications, using Python. Related job titles include:

  • Data Scientist
  • Digital Marketer
  • Analytics Manager
  • IT Programmers/Developers
  • Scientists
  • Statisticians

Learning Outcomes

With a Text Mining and Analytics Record of Mastery, you will have an in-depth understanding of how to develop natural language applications, how to perform meaningful analyses with text and apply them to real-world applications, using Python and NLTK. You will also be able to:

  • Correctly understand and produce regular expressions
  • Understand and give examples of N-grams and their role in probabilistic language prediction
  • Assign (tag) parts of speech to words in a corpus
  • Use semantic analysis to understand and disambiguate word meanings
  • Gain a basic familiarity with the language tools that are available in NLTK
  • Implement those tools on their own corpora as well as be able to practice with the included corpora that come with NLTK
  • Create language models from a corpus, and be able to compute significant collocations from the text
  • Train a classifier using both Naive Bayes and maximum entropy to determine the accuracy of the classifier using cross-validation and employ these classifiers effectively in a variety of settings

Prerequisites

This Mastery Series require some familiarity with Python and with predictive modeling, as well as Bayesian statistics. The following courses are recommended but not required.

Python for Analytics

This course will teach you the basic Python skills and data structures – how to load data from different sources and aggregate it, and how to analyze and visualize it to create high-quality products.
Topic: Analytics, Using Python | Skill: Introductory | Credit Options: ACE, CAP, CEU
Class Start Dates: Mar 13, 2020, Jul 10, 2020, Nov 13, 2020, Mar 12, 2021

Introduction to Bayesian Statistics

This course will teach you the basic ideas of Bayesian Statistics: how to perform Bayesian analysis for a binomial proportion, a normal mean, the difference between normal means, the difference between proportions, and for a simple linear regression model.
Topic: Statistics, Bayesian | Skill: Intermediate | Credit Options: CAP, CEU
Class Start Dates: Jan 17, 2020, Jul 3, 2020

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.
Topic: Data Science, Analytics, Prediction/Forecasting, Using Python | Skill: Introductory, Intermediate | Credit Options: ACE, CAP, CEU
Class Start Dates: Jan 10, 2020, May 15, 2020, Sep 11, 2020

Required Courses

The Text Mining and Analytics Mastery Series consists of three 4-week courses offered completely online at Statistics.com. This series certificate program can be completed in a less than a year depending on your personal schedule and course availability.

Text Mining using Python

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.
Topic: Data Science, Text Mining | Skill: Intermediate | Credit Options: ACE, CAP, CEU
Class Start Dates: Jan 31, 2020

Natural Language Processing

This course will teach you the algorithms, techniques and software used in natural language processing (NLP).
Topic: Data Science, Text Mining | Skill: Intermediate | Credit Options: ACE, CAP, CEU
Class Start Dates: Feb 28, 2020

Natural Language Processing Using NLTK

This course will introduce you to natural language processing (NLP) processes into your projects and software applications.
Topic: Data Science, Text Mining | Skill: Intermediate, Advanced | Credit Options: CAP, CEU
Class Start Dates: Sep 11, 2020

What Our Students Say​

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I much enjoyed your text mining course last year and plan to take the deep learning one - thanks for creating it

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Milan Hejtmanek
Seoul National University
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I like the format of those courses. There is a lot to learn, but it's concentrated on the key points. For somebody working full time it beats a semester-long course.

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Myriam Abramson
Computer Scientist, Naval Research Laboratory

Tuition and Fees

Plus $65 Recording Fee.

 

1,318
Enroll With Pay-As-You-Go

Frequently Asked Questions

Can I transfer or withdraw from a course?

We have a flexible transfer and withdrawal policy that recognizes circumstances may arise to prevent you from taking a course as planned. You may transfer or withdraw from a course under certain conditions.

  • Students are entitled to a full refund if a course they are registered for is canceled.
  • You can transfer your tuition to another course at any time prior to the course start date or the drop date, however a transfer is not permitted after the drop date.
  • Withdrawals on or after the first day of class are entitled to a percentage refund of tuition.

Please see this page for more information.

How does the Mastery Series program work?

The Institute offers specializations in topics in several areas of focus. Successfully complete three of the courses listed for any specialization and you’ll earn a Record of Specialization from the Institute for Statistics Education at Statistics.com.

Please see our knowledge center for more information.

Can I apply courses I have already taken?

We will transfer up to three courses to your program, provided you received adequate grades on your courses.

What if I have already mastered a topic from prior experience?

If you have mastered a topic from prior experience, let us know and we’ll swap out that course for another.

Are courses eligible for college credit?

Many of the courses at The Institute for Statistics Education have been recommended for academic credit by The American Council on Education (ACE). ACE-accredited courses can be transferred to another educational institution that accepts ACE credit.

Visit our knowledge base and learn more.

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Additional Information

Organization of Series

The Mastery Program consists of standard Statistics.com courses – small classes, regular interaction with your instructor throughout the course, rapid expert feedback on your homework and projects.  You can register for the courses individually, and even incorporate courses that you have recently successfully completed.

Courses takes place online at The Institute. During each course week, you participate at times of your own choosing. There are no set times when you must be online. Course participants will be given access to a private discussion board. In class discussions are led by the instructor. You can post questions, seek clarification, and interact with your fellow students and the instructor.

At the beginning of each week, you receive material relevant to the course, in addition to answers to exercises from the previous session. During the week, you are expected to go over the course materials, work through exercises, and submit answers. Discussion among participants is encouraged. The instructor will provide answers and comments, and at the end of the week, you will receive individual feedback on your homework answers.

Time Requirements

There are 3 courses in this Mastery Series.

Each course is a 4-week course requiring 10-15 hours per week of review and study, at times of your choosing. You may build your own course calendar to meet your individual requirements. The Mastery Series program may be completed in less than six months to one year, depending on your personal schedule and course availability.

Course Fee & Information

Save 10% on your total tuition for all required courses by choosing the “Pay-In-Advance” option for this Mastery Series. You can also purchase courses as you go along in your studies, but course fees are subject to change at any time should you choose not to lock-in your tuition through the Pay-In-Advance rate.

Record of Mastery Documentation Fee
Upon Mastery completion, there is a $65 recording fee to receive your Record of Mastery documentation. 

Transfers and Withdrawals
We have flexible policies to transfer to another course or withdraw if necessary (modest fee applies).

Enrollment
Courses may fill up at any time and registrations are processed in the order in which they are received. Your registration will be confirmed for the first available course date unless you specify otherwise.

Invoice or Purchase Order
Add $50 service fee if you require a prior invoice, or if you need to submit a purchase order or voucher, pay by wire transfer or EFT, or refund and reprocess a prior payment.

Group Rates
Contact us to get information on group rates.

Options for Credit and Recognition

Our Mastery Series credits options vary by program and courses offered. 

No Credit
You may take this program without pursuing credit or a record of completion.

Mastery Program Credit
If you are enrolled in a Mastery Program that requires demonstration of proficiency in this subject, your course work may be assessed for a grade.

Certificate Program Credit
If you intend to enroll in a Certificate Program following completion of your Mastery Program, your course work may be assessed for a grade. In addition, your courses will be assessed for transferability to the Certificate Program course requirements. In most cases, if your Mastery Program courses are also included in the Certificate Program as either required courses or elective courses, your completed Mastery Program course work will be transferred to the Certificate Program.

CEU’s and Proof of Completion
If you require a “Record of Course Completion” along with professional development credit in the form of Continuing Education Units (CEU’s), upon successfully completing the course, CEU’s and a record of course completion will be issued by The Institute upon your request.

CAP-INFORMS
Courses in your Mastery Program that have been recognized by the Institute for Operations Research and the Management Sciences (INFORMS) as helpful preparation for the Certified Analytics Professional (CAP®) exam will be will be issued a “Record of Course Completion” by The Institute upon your request, after successfully completing the course.

ACE CREDIT / College Credit
Courses in your Mastery Program that have been endorsed by the American Council on Education (ACE) will be issued a “Record of Course Completion” by The Institute upon your request, after you successfully complete the course. Please note that the decision to accept specific credit recommendations is up to the academic institution accepting the credit.

Digital Badge

For courses in your Mastery Program that have been endorsed by the American Council on Education (ACE), a digital badge will be made available upon successful completion of the course.

Miscellaneous

Visit our knowledge base to learn more about our mastery services.

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