Get updates on Eligibility, Admission, Placements Fees Structure
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
- 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 fees for the course Applied Text Mining in Python is -
Description | Total Fee in INR |
Course Fee, 1 month | Rs. 4,117 |
Course Fee, 3 months | Rs. 8,234 |
Course Fee, 6 months | Rs. 12,352 |
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
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
Applied Text Mining in Python Classes is highly recommended for the professionals including
- AI Developer
- Python Programmer
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)
About 25 hours will be enough to successfully complete the online course.
The online certificate course is offered by Coursera entirely in the online mode.
The programme is instructed by V. G. Vinod Vydiswaran who is the Assistant Professor at the School of Information.
The subtitles are available in the following languages; Arabic, French, Portuguese (European), Italian, Vietnamese, Korean, German, Russian, English, and Spanish.
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.