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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 ‘Clinical Natural Language Processing’ online course is focused on delivering students insights on the strategies and tools involved in the processing of texts and collecting information from clinical data. This data analysis course is part of the clinical data science specialization and is provided by Coursera in association with the University of Colorado. The students of this course can explore the text data in R and can gain knowledge of the practical applications of finding out any diabetic issues from the clinical data.

The course can be completed within an estimated period of twelve hours in about five weeks and the students can study at their own pace. The instructor for this intermediate-level program is Laura K. Wiley, an Assistant Professor from the Division of Biomedical Informatics and Personalized Medicine at the Anschutz Medical Campus.

The ‘Clinical Natural Language Processing’ online training program ensures students with an industrially significant course certificate that can be shared online for the development of their career.

The Highlights

Online mode
12 hours course
Five weeks
Free registration
Self-paced learning
Course certificate
Subtitles
Flexible deadlines
Intermediate level training

Programme Offerings

Online Classes
video lectures
Readings
quizzes
Practice Exercises
Self-study
Audit mode
Certificate

Courses and Certificate Fees

Certificate Availability	Certificate Providing Authority
yes	Coursera

The ‘Clinical Natural Language Processing’ certification fee is paid to receive access to the certification and the course materials.

Clinical Natural Language Processing fee structure

Audit mode	Nil
One month( 14 hours/week)	₹4,018
Three months( 5 hours/ week)	₹8,037
Six months( 2 hours/ week)	₹12,056

Eligibility Criteria

Certificate qualifying details

The students who are part of the ‘Clinical Natural Language Processing’ certification by Coursera are required to get their course completion certificate after finishing the course, graded assessments, and tests.

What you will learn

Natural Language ProcessingData science knowledgeKnowledge of Data mining

The ‘Clinical Natural Language Processing’ certification syllabus is developed for the students to enhance their knowledge and get familiar with the following aspects,

Identification of the significance of data analysis concepts of text processing, text mining, and natural language processing.
Evaluate and determine note sections to identify answers for analytical questions.
Draft basic and fundamental expressions to know the common clinical data.
R code writing to find text windows for keywords and phrases to answer questions that are analytical.

Who it is for

Computer ProgrammerSoftware EngineerHealth OfficerMachine Learning EngineerIT Engineer

The ‘Clinical Natural Language Processing’ online certification program is directed at the students and industry professionals who wish to learn about the techniques of NLP in the clinical context and for processing clinical data.

Admission Details

The admission process for the ‘Clinical Natural Language Processing’ online course is done online through the Coursera website.

Step 1: Go to the course page using the link-https://www.coursera.org/learn/clinical-natural-language-processing

Step 2: Find the ‘Enroll For Free’ link

Step 3: Enter the relevant information on the registration form.

Step 4: Make the payment and join the course.

Application Details

The ‘Clinical Natural Language Processing’ training requires students to fill in their name, email address, and password for the course account. The students can also join the course using their Google, Facebook, and Apple IDs.