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.
$1,318| Enroll Now

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.  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.

Record of Mastery
3 - Course Mastery Series
College Credit Eligible
Online Course
Flexible Schedule
Expert Instructors

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.  You will be able to:
  • Process text data and strings, and perform pattern matching with regular expressions in Python
  • Preprocess and wrangle noisy text data via stemming, lemmatization, tokenization, removal of stop-words and more
  • Represent text documents using features related to text word frequency, parts of speech and sentiment
  • Represent text documents using vectorized features like bag-of-words, TF-IDF, and document similarity
  • Use the concepts of information retrieval and document similarity (e.g. in applications like recommender systems)
  • Perform unsupervised NLP using techniques like keyphrase extraction, topic modeling and text summarization

 

 

  • Leverage pre-trained models for part-of-speech (POS) tagging and named entity recognition (NER)
  • Develop supervised models to classify documents
  • Specify and run artificial neural networks and deep networks
  • Explain how deep networks represent words as binary vectors
  • Use recurrent neural networks for sequential learning (sequence-to-sequence modeling)
  • Use attention models to improve predictive performance

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

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 11, 2022, Jul 8, 2022, Nov 11, 2022
Mapping in R Course

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, Statistical Modeling | Skill: Intermediate | Credit Options: CAP, CEU
Class Start Dates: Jan 21, 2022

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.

Mapping in R Course

Predictive Analytics 1 – Machine Learning Tools with Python

This course introduces the basic paradigm for predictive modeling: classification and prediction.
Topic: Data Science, Analytics, Machine Learning, Prediction/Forecasting, Using Python | Skill: Introductory, Intermediate | Credit Options: ACE, CAP, CEU
Class Start Dates: Jan 14, 2022, May 13, 2022
Introduction to NLP and Text Mining

Introduction to NLP and Text Mining

In this course you will be introduced to the essential techniques of natural language processing (NLP) and text mining with Python.
Topic: Data Science, Machine Learning, Text Mining, Using Python | Skill: Intermediate, Advanced | Credit Options: ACE, CAP, CEU
Class Start Dates: Jan 14, 2022
course

NLP and Deep Learning

In this course you will learn about deep neural networks, and how to use them in processing text with Python (Natural Language Processing or NLP).
Topic: Data Science, Machine Learning, Text Mining | Skill: Intermediate | Credit Options: ACE, CAP, CEU
Class Start Dates: Mar 11, 2022

What Our Students Say

Milan Hejtmanek
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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.