Select Topics in Python: Natural Language Processing
This course is part of Select Topics in Python Specialization.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Select Topics in Python Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
Instructors:
English
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What you'll learn
Implement NLP workflows using Python and NLTK
Develop text analysis and preprocessing techniques
Apply various text similarity metrics effectively
Create chatbots using different approaches
Utilize pre-trained language models
Skills you'll gain
This course includes:
6.17 Hours PreRecorded video
14 app items
Access on Mobile, Desktop
FullTime access
Shareable certificate
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There are 3 modules in this course
This hands-on course provides a comprehensive introduction to Natural Language Processing using Python. Through three modules, students progress from basic NLP workflows to advanced language analysis techniques. The curriculum covers text preprocessing, NLTK library usage, word frequency analysis, and similarity metrics. The course culminates in building increasingly sophisticated chatbots, from simple rule-based systems to advanced models using pre-trained language models. All learning is conducted through practical, video-free assignments with runnable code examples.
NLP Basic Workflow
Module 1 · 2 Hours to complete
Methods for Analyzing Natural Language
Module 2 · 2 Hours to complete
Creating an NLP-Powered Chatbot
Module 3 · 2 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Select Topics in Python Specialization
Instructors
Bridging Data Science and Education
Mohit Chandarana is a Data Products (ML) Research Scientist at Codio, where he specializes in leveraging machine learning and data analytics to enhance educational outcomes. With a focus on bridging the gap between cutting-edge academic research and practical applications in education, he contributes to the development of innovative learning tools. His expertise is evident in the courses he teaches on Coursera, including "Introduction to Terraform" and "Select Topics in Python: Natural Language Processing." These courses are designed to equip learners with essential skills in data science and programming, catering to both beginners and advanced students.Chandarana's commitment to education extends beyond teaching; he actively engages in research that addresses challenges in computer science education. He has co-authored several papers presented at prominent conferences, exploring topics such as programming metrics and error resolution across languages. His work not only enriches the academic community but also informs the design of Codio's educational products, ensuring they meet the evolving needs of learners. Mohit's passion for data science and education positions him as a key figure in advancing how technology is integrated into learning environments.
seasoned expert in the field of software development and data science.
Kevin Noelsaint is a seasoned expert in the field of software development and data science, known for his engaging teaching style and deep industry knowledge.
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