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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study	Video and Text Based

Course Overview

Applied Text Mining in Python opens a window for the learners to the realm of applied text mining in Python. The programme is offered by the University of Michigan with the target of intermediate level students. Applied Text Mining in Python Certification Syllabus will expose the students to various aspects including the fundamentals of text manipulation and text mining.

Applied Text Mining in Python Certification Course, administered by Coursera, will walk the students through the structure of the text in humans and machines, the mode of text handling in Python, regular expressions, cleaning text, and a lot more. Applied Text Mining in Python Certification by Coursera, spanning four weeks, can be enrolled only after taking the three pre-courses provided in the Applied Data Science with Python Specialization.

The Highlights

Provided by Coursera
Approximately 2 hours of programme
Offered by the University of Michigan
Flexible Deadlines
Self-Paced Learning Option
Shareable Certificate
Intermediate-level Programme
Financial Aid Available
100% Online Course

Programme Offerings

English Videos
practice quizzes
Graded Assignments with peer feedback
graded Quizzes with feedback
Graded Programming Assignments
Course Videos & Readings
EMI payment options
14 day refund period

Courses and Certificate Fees

Certificate Availability	Certificate Providing Authority
yes	UM–Ann ArborCoursera

The Applied Text Mining in Python Certification Fee will differ as on how many months the students want to spend time on the course. Refer to the table below to know the month-wise fee structure:

Description	Total Fee in INR
Course Fee, 1 month	Rs. 4,051
Course Fee, 3 months	Rs. 8,102
Course Fee, 6 months	Rs. 12,154

Eligibility Criteria

Academic Qualifications

The students who look forward to joining Applied Text Mining in Python Certification Course must have covered the three courses in the Applied Data Science with Python Specialization, namely, Introduction to Data Science in Python, Applied Plotting, Charting & Data Representation in Python, and Applied Machine Learning in Python.

Certification Qualifying Details

The Applied Text Mining in Python Certification will be provided to the learners only after they duly complete the course proceedings and pay the fee specified by Coursera.

What you will learn

Natural Language Processing

After the completion of the Applied Text Mining in Python Training, the learners can have a deep understanding of the following concepts:

Natural Language Toolkit (NLTK)
Text Mining
Python Programming
Natural Language Processing
The use of nltk framework for manipulating text
Application of natural language processing methods to text
Text classification

Who it is for

AI DeveloperPython Programmer

Applied Text Mining in Python Classes is highly recommended for the professionals including

Admission Details

Step1- At first, the students will have to register and sign up on https://www.coursera.org/ to get access to the programmes offered by Coursera.

Step 2 - After activating the Coursera account, the candidate can sign in.

Step 3 - Then, the candidate can search the ‘University of Michigan’ in the search column and then, the courses offered by the University of Michigan will appear on the screen.

Step 4 - Then, find the course ‘Applied Text Mining in Python’ in the list and click on it.

Step 5- Then, the page of the course will appear on the screen and then, click on the option ‘enroll’. The students can enroll in the programme either by free of cost or paying the fee prescribed by Coursera.

The Syllabus

Videos

Introduction to Text Mining
Handling Text in Python
Regular Expressions
Demonstration: Regex with Pandas and Named Groups
Internationalization and Issues with Non-ASCII Characters

Readings

Syllabus
Help us learn more about you!!
Notice for Auditing Learners: Assignment Submission
Resources: Common issues with free text

Practice exercises

Module 1 Quiz
Practice Quiz

Videos

Basic Natural Language Processing
Basic NLP tasks with NLTK
Advanced NLP tasks with NLTK
Application: Spell Checker

Practice exercises

Module 2 Quiz
Practice Quiz

Videos

Text Classification
Identifying Features from Text
Naive Bayes Classifiers
Naive Bayes Variations
Support Vector Machines
Learning Text Classifiers in Python
Demonstration: Case Study - Sentiment Analysis

Practice exercises

Module 3 Quiz

Videos

Semantic Text Similarity
Topic Modeling
Generative Models and LDA
Information Extraction

Readings

Additional Resources & Readings
Post-Course Survey
Keep Learning with Michigan Online
Course 4 complete! Time to celebrate

Practice exercises

Module 4 Quiz
Practice Quiz

Instructors

UM–Ann Arbor Frequently Asked Questions (FAQ's)

1: How many hours are needed to cover the Applied Text Mining in Python Online Certification?

About 21 hours will be enough to successfully complete the online course.

2: In which mode is the Applied Text Mining in Python Online Course offered?

The online certificate course is offered by Coursera entirely in the online mode.

3: Which professor is supervising the online certification programme?

The programme is instructed by V. G. Vinod Vydiswaran who is the Assistant Professor at the School of Information.

4: In which languages the subtitles for the course videos are provided?

The subtitles are available in the following languages; Arabic, French, Portuguese (European), Italian, Vietnamese, Korean, German, Russian, English, and Spanish.

5: What are the prerequisites to join the course?

To be eligible for the online programme, the students must have completed the following courses in Applied Data Science with Python Specialization including Introduction to Data Science in Python, Applied Plotting, Charting & Data Representation in Python, and Applied Machine Learning in Python.