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Quick Facts

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

Course Overview

The ‘Text Analytics 2: Visualizing Natural Language Processing’ online course is developed for the students to gain knowledge and expertise with the visualization and interpretation of outputs in text analytics along with the scientific overview of understanding language computations.

This computer science course is provided by the Edx educational platform in collaboration with the University of Canterbury for the classes and modules. This online program is scheduled for a period of approximately six weeks and the candidates are expected to spend a minimum of three to six hours per week to finish the course modules.

The ‘Text Analytics 2: Visualizing Natural Language Processing’ is a self-paced learning program and the students can study independently with the curriculum instructed by faculty from the University of Canterbury such as Jonathan Dunn(Lecturer), Jeanette King(Professor), Tom Coupe(Associate Professor), and Girish Prayag(Professor). The participants will receive a certificate that can be shared online for the benefit of career advancement if they choose the verified mode by paying the course fee. They can also join the self-paced programme free of cost and get limited access to the programme.

The Highlights

Online mode
Self-Study
Six weeks
3-6 hours per week
Free learning
Video transcripts
Introductory level program
Faculty from UC
Shareable certificate

Programme Offerings

course videos
Modules
Graded Assignments
tests
Video transcripts
English Medium Of Instruction
Self-paced learning
course certificate

Courses and Certificate Fees

Fees Informations	Certificate Availability	Certificate Providing Authority
INR 20734	yes	University of Canterbury, Christchurch

The ‘Text Analytics 2: Visualizing Natural Language Processing’ certification fee is paid to access the verified track with the certificate and access to the graded assessments.

Text Analytics 2: Visualizing Natural Language Processing fee structure

Audit Track	Nil
Verified Track	Rs 19,864

Eligibility Criteria

Certificate qualifying details

The candidates learning in the ‘Text Analytics 2: Visualizing Natural Language Processing’ certification by Edx will become eligible for the online shareable certificate after successfully completing the course modules, graded assignments, and tests.

What you will learn

Natural Language ProcessingVisualisation skillsMachine learningData science knowledgeKnowledge of PythonKnowledge of Artificial IntelligenceKnowledge of deep learning

The ‘Text Analytics 2: Visualizing Natural Language Processing’ certification syllabus equips the students to gain familiarity with the following aspects by the end of the training,

Hands-on experience with document similarity and topic models to process huge amounts of data sets.
Interpretation and visualization of text analytics that includes statistical significance testing.
Analyze the ethical and scientific foundations of new applications for the purpose of text analytics.

Who it is for

The ‘Text Analytics 2: Visualizing Natural Language Processing’ online certification training is organized for students, individuals, and industry professionals who are keen on enhancing their knowledge of text analytics and visualization.

Admission Details

The learners who wish to join the ‘Text Analytics 2: Visualizing Natural Language Processing’ certification course should register themselves through the Edx website.

Step 1: Get to the course page using the link,

https://www.edx.org/course/text-analytics-2-visualizing-natural-language-processing

Step 2: Find the ‘Enroll Now’ option.

Step 3: Fill in the details for registration.

Step 4: Choose the mode of study.

Step 5: Pay the course fee and join the course.

Application Details

The applicants for the ‘Text Analytics 2: Visualizing Natural Language Processing’ certification classes should register by entering their basic information such as name, email address, user name, and account password or can sign in to Edx using their Facebook, Google, or Apple IDs.