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
The ‘Text Analytics 1: Introduction to Natural Language Processing’ online course is an overview of the strategies involved in Natural Language Processing(NLP) and the various aspects of computational linguistics. This course enables students to get hands-on experience with NLP and the process of performing analysis in Python with regard to the creation of pipelines.
Edx provides this course in association with the University of Canterbury(UC) for a period of six weeks and the students are required to spend at least three to six hours per week to complete the course successfully. This computer science course is self-paced and the learners in this program are led by the instructors from UC, Jonathan Dunn(Lecturer), Tom Coupe(Associate Professor), Jeanette King(Professor), and Girish Prayag(Professor).
In the ‘Text Analytics 1: Introduction to Natural Language Processing’ online training program, students will engage themselves with concepts of text processing, text mining, sentiment analysis, and topic modelling. The participants will receive a certificate after finishing the course of study and the graded assessments. The self-paced programme can be taken free of cost and has a limited duration. They can also upgrade it to the verified mode by paying for the course and getting unlimited access to the course materials.
The Highlights
- Online mode
- Self-paced learning
- Six weeks program
- 3-6 hours per week
- Instructors from the University of Canterbury
- English medium of instruction
- Video transcripts
- Computer science course
- Course certificate
Programme Offerings
- course videos
- Course Modules
- Online Classes
- Independent Study
- Academic Instructors
- Video transcripts
- course certificate
- Free learning
Courses and Certificate Fees
| Fees Informations | Certificate Availability | Certificate Providing Authority |
|---|---|---|
| INR 25608 | yes | University of Canterbury, Christchurch |
The ‘Introducing Text Analytics’ certification fee is paid for access to the verified track, certification, and graded assessments.
Introducing Text Analytics fee structure
Audit Track | Nil |
Verified Track | Rs 25,608 |
Eligibility Criteria
Certificate qualifying details
The candidates of the ‘Introducing Text Analytics’ certification by Edx will qualify for the certificate after completing the course modules, graded assignments, and tests successfully.
What you will learn
The ‘Text Analytics 1: Introduction to Natural Language Processing’ certification syllabus enables students to fulfill the following objectives by the end of the course,
- Develop applications with the help of unstructured data such as tweets and news articles.
- Implement machine learning classifiers to organize data and documents by content and author.
- Evaluate the ethical and scientific fundamentals of text analysis.
Who it is for
The ‘Text Analytics 1: Introduction to Natural Language Processing’ online classes are conducted for the students and other industry professionals who wish to explore the field of computer science.
Admission Details
The students interested in applying for the ‘Introducing Text Analytics’ certification course should register online through the Edx website.
Step 1: Find the course page using the link,
https://www.edx.org/course/introducing-text-analytics
Step 2: Click on the ‘Enroll Now’ option.
Step 3: Enter the basic details and register in Edx.
Step 4: Choose the mode of study.
Step 5: Make the payment and start the course.
Application Details
The registration for the ‘Introducing Text Analytics’ online certification program is done by entering the registration details such as user name, email address, and account password. Students can sign in using their Google, Facebook, or Apple account IDs.
The Syllabus
- Learn how artificial intelligence can help us work with language data
- Learn what language looks like to both humans and machines
- Learn how to use machine learning to categorize documents based on content, authorship, and sentiment.
Instructors
University of Canterbury, Christchurch Frequently Asked Questions (FAQ's)
The training is conducted for six weeks.
You don’t require any prior knowledge for this course.
The course is provided by Edx with the University of Canterbury.
Yes, the course is for free in the audit track.
You can learn the course at your own pace.