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Mohit Chandarana
and
Kevin Noelsaint
Code and run your first NLP program in minutes without installing anything!
This course is designed for learners who have some experience with Python but are a novice to NLP. The modules in this course cover processing and analyzing text; analyzing speech, syntax, and semantics; and building a chatbot.
Read more
Code and run your first NLP program in minutes without installing anything!
This course is designed for learners who have some experience with Python but are a novice to NLP. The modules in this course cover processing and analyzing text; analyzing speech, syntax, and semantics; and building a chatbot.
Read more
Code and run your first NLP program in minutes without installing anything!
This course is designed for learners who have some experience with Python but are a novice to NLP. The modules in this course cover processing and analyzing text; analyzing speech, syntax, and semantics; and building a chatbot.
To allow for a truly hands-on, self-paced learning experience, this course is video-free. Assignments contain short explanations with images and runnable code examples with suggested edits to explore code examples further, building a deeper understanding by doing. You’ll benefit from instant feedback from a variety of assessment items along the way, gently progressing from quick understanding checks (multiple choice, fill in the blank, and un-scrambling code blocks) to slowly building features, resulting in large coding projects at the end of the course.
Register for this course and see more details by visiting:
OpenCourser.com/course/mflz85/select
What's inside
Syllabus
NLP Basic Workflow
Welcome to Week 1 of the Select Topics in Python: Natural Language Processing course. These assignments cover the basics of NLP and the NLTK library, pre-processing, processing, and analyzing text. The module ends with graded coding exercises.
Read more
Syllabus
NLP Basic Workflow
Welcome to Week 1 of the Select Topics in Python: Natural Language Processing course. These assignments cover the basics of NLP and the NLTK library, pre-processing, processing, and analyzing text. The module ends with graded coding exercises.
Read more
Methods for Analyzing Natural Language
Welcome to Week 2 of the Select Topics in Python: Natural Language Processing course. These assignments cover how to convert natural language into numerical representations that enable you to compute the similarity between provided text, and how to use a pre-trained language model. The module ends with graded coding exercises.
Creating an NLP-Powered Chatbot
Welcome to Week 3 of the Select Topics in Python: Natural Language Processing course. These assignments cover the basics about how chatbots work and will create a series of chatbots - ranging from a simple, hard-coded chatbot in Python to a more sophisticated open domain chatbot that uses a pre-trained language model. The module ends with graded coding exercises.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Explores NLP, which is standard in data science, AI, and ML
Provides hands-on experience without requiring learners to install anything
Provides feedback throughout the learning experience
Covers creating an NLP-powered chatbot, which is a highly in-demand skill
Designed for beginners without experience with NLP
Save this course
Save Select Topics in Python: Natural Language Processing to your list so you can find it easily later:
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Select Topics in Python: Natural Language Processing with these
activities:
Review Python basics
Show steps
Brush up on Python before the course starts to be better prepared to follow along with demonstrations and apply NLP concepts.
Browse courses on
Python
Show steps
-
Review the syntax and structure of Python.
-
Remind yourself of Python's different data types and how to manipulate them.
-
Recall Python's control flow statements and functions.
Review natural language
Show steps
Recall key concepts of natural language to prepare for applying NLP techniques.
Browse courses on
NLP
Show steps
-
Review the structure and components of natural language.
-
Analyze different types of sentences.
-
Identify parts of speech.
Join a study group
Show steps
Collaborate with peers to discuss NLP concepts and reinforce your understanding.
Browse courses on
NLP
Show steps
-
Find a study group or create your own.
-
Meet regularly to discuss the course material.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Practice coding exercises
Show steps
Solidify your understanding of NLP concepts by working through hands-on coding exercises.
Browse courses on
NLP
Show steps
-
Complete the coding exercises at the end of each module.
-
Experiment with different NLP techniques.
Explore NLP tutorials
Show steps
Gain a deeper understanding of NLP concepts through structured tutorials.
Browse courses on
NLP
Show steps
-
Find online tutorials on topics such as text processing, sentiment analysis, and machine learning.
-
Follow the tutorials step-by-step.
Organize study materials
Show steps
Stay organized and reinforce your learning by compiling and reviewing your study materials regularly.
Browse courses on
NLP
Show steps
-
Gather your notes, assignments, and other materials.
-
Create a system for organizing your materials.
-
Review your materials on a regular basis.
Build an NLP project
Show steps
Apply your NLP skills to a real-world project to solidify your learning.
Browse courses on
NLP
Show steps
-
Identify a problem that can be solved using NLP.
-
Develop a plan for your project.
-
Implement your project.
-
Evaluate your results.
Participate in an NLP competition
Show steps
Challenge yourself and test your NLP skills against others.
Browse courses on
NLP
Show steps
-
Find an NLP competition that aligns with your interests.
-
Join a team or compete individually.
-
Develop and implement NLP solutions.
Review Python basics
Show steps
Brush up on Python before the course starts to be better prepared to follow along with demonstrations and apply NLP concepts.
Browse courses on
Python
Show steps
Show steps
Show steps
- Review the syntax and structure of Python.
- Remind yourself of Python's different data types and how to manipulate them.
- Recall Python's control flow statements and functions.
Review natural language
Show steps
Recall key concepts of natural language to prepare for applying NLP techniques.
Browse courses on
NLP
Show steps
Show steps
Show steps
- Review the structure and components of natural language.
- Analyze different types of sentences.
- Identify parts of speech.
Join a study group
Show steps
Collaborate with peers to discuss NLP concepts and reinforce your understanding.
Browse courses on
NLP
Show steps
Show steps
Show steps
- Find a study group or create your own.
- Meet regularly to discuss the course material.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Practice coding exercises
Show steps
Solidify your understanding of NLP concepts by working through hands-on coding exercises.
Browse courses on
NLP
Show steps
Show steps
Show steps
- Complete the coding exercises at the end of each module.
- Experiment with different NLP techniques.
Explore NLP tutorials
Show steps
Gain a deeper understanding of NLP concepts through structured tutorials.
Browse courses on
NLP
Show steps
Show steps
Show steps
- Find online tutorials on topics such as text processing, sentiment analysis, and machine learning.
- Follow the tutorials step-by-step.
Organize study materials
Show steps
Stay organized and reinforce your learning by compiling and reviewing your study materials regularly.
Browse courses on
NLP
Show steps
Show steps
Show steps
- Gather your notes, assignments, and other materials.
- Create a system for organizing your materials.
- Review your materials on a regular basis.
Build an NLP project
Show steps
Apply your NLP skills to a real-world project to solidify your learning.
Browse courses on
NLP
Show steps
Show steps
Show steps
- Identify a problem that can be solved using NLP.
- Develop a plan for your project.
- Implement your project.
- Evaluate your results.
Participate in an NLP competition
Show steps
Challenge yourself and test your NLP skills against others.
Browse courses on
NLP
Show steps
Show steps
Show steps
- Find an NLP competition that aligns with your interests.
- Join a team or compete individually.
- Develop and implement NLP solutions.
Career center
Learners who complete Select Topics in Python: Natural Language Processing will develop knowledge and skills
that may be useful to these careers:
Natural Language Processing Engineer
Natural Language Processing Engineer
Natural Language Processing (NLP) Engineers work with vast volumes of text data to develop innovative solutions for various industries. This course provides a solid foundation in NLP concepts and techniques, enabling you to design and implement NLP-based systems and applications. It introduces you to industry-standard tools like NLTK, essential for NLP projects. Whether you're aspiring to enter the field or advance your NLP skills, this course can significantly contribute to your success.
Data Scientist
Data Scientist
Data Scientists leverage large datasets to uncover valuable insights and drive decision-making. This course provides a strong foundation in NLP, enabling you to analyze unstructured text data, extract meaningful information, and make accurate predictions. By mastering NLP techniques, you can enhance your data science skills and excel in this rapidly growing field.
NLP Researcher
NLP Researcher
NLP Researchers push the boundaries of natural language processing and its applications. This course provides a comprehensive overview of NLP techniques and methodologies, enabling you to conduct innovative research and contribute to the advancement of the field. The hands-on assignments and graded coding exercises help you develop the practical skills necessary to excel in NLP research.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers develop and deploy ML models to solve complex business problems. This course offers a valuable introduction to NLP, a crucial subfield within ML. It provides hands-on experience in processing, analyzing, and representing text data, enabling you to build and enhance ML models that effectively handle natural language inputs.
Computational Linguist
Computational Linguist
Computational Linguists explore the intersection of linguistics and computer science, focusing on natural language processing. This course offers a solid foundation in NLP, providing insights into the computational techniques used to understand, analyze, and generate human language. It can significantly enhance your capabilities in this interdisciplinary field.
Information Architect
Information Architect
Information Architects design and organize information systems. With the vast amount of unstructured text data available today, NLP techniques are becoming essential in this field. This course provides a solid foundation in NLP, enabling you to understand and leverage text data to improve the design and organization of information systems.
Software Engineer
Software Engineer
Software Engineers develop and maintain software systems. In today's data-driven world, NLP skills are increasingly valuable. This course provides a comprehensive introduction to NLP, equipping you with the knowledge and practical experience to incorporate NLP capabilities into your software applications. It can significantly enhance your career prospects as a Software Engineer.
User Experience Designer
User Experience Designer
User Experience Designers create products and services that are easy and enjoyable to use. NLP plays a crucial role in understanding user behavior and improving the user experience. This course provides a valuable introduction to NLP, empowering you to leverage text data to design intuitive and user-friendly products and services.
Content Strategist
Content Strategist
Content Strategists develop and execute content strategies to achieve business objectives. NLP skills can greatly enhance your ability to analyze and optimize content for different audiences and channels. This course provides a comprehensive introduction to NLP, enabling you to understand and leverage text data to create effective and engaging content strategies.
Technical Writer
Technical Writer
Technical Writers create documentation and other written materials to explain complex technical concepts. NLP skills can greatly enhance your ability to understand and convey technical information. This course introduces you to NLP techniques for analyzing and processing text, enabling you to produce clear and effective technical documentation.
Market Researcher
Market Researcher
Market Researchers gather and analyze data to understand market trends and consumer behavior. NLP techniques are increasingly used to analyze vast amounts of textual data, such as customer reviews and social media posts. This course provides a solid foundation in NLP, equipping you with the skills to extract valuable insights from unstructured text data and gain a competitive edge in market research.
Digital Marketing Manager
Digital Marketing Manager
Digital Marketing Managers plan and execute marketing campaigns across digital channels. NLP techniques are increasingly used to analyze customer data and personalize marketing messages. This course provides a valuable introduction to NLP, empowering you to understand and leverage text data to create targeted and effective digital marketing campaigns.
Business Analyst
Business Analyst
Business Analysts identify and analyze business needs to improve processes and systems. NLP skills can greatly enhance your ability to understand and analyze unstructured text data, such as customer feedback and market research reports. This course provides a solid foundation in NLP, equipping you with the tools and techniques to extract valuable insights from text data and drive better business decisions.
Customer Success Manager
Customer Success Manager
Customer Success Managers ensure that customers are satisfied with a company's products or services. NLP techniques can greatly enhance your ability to analyze customer feedback and identify areas for improvement. This course provides a valuable introduction to NLP, enabling you to understand and leverage text data to improve customer satisfaction and retention.
Product Manager
Product Manager
Product Managers develop and manage products to meet customer needs. NLP skills can greatly enhance your ability to understand and analyze user feedback and market data. This course provides a solid foundation in NLP, equipping you with the tools and techniques to extract valuable insights from text data and make informed product decisions.
For more career information including salaries, visit:
OpenCourser.com/course/mflz85/select
Reading list
We've selected six books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Select Topics in Python: Natural Language Processing.
Classic text on speech and language processing. It covers a wide range of topics, from the basics of speech production and perception to the latest advances in NLP.
Comprehensive introduction to deep learning for NLP. It covers the basics of deep learning, as well as more advanced topics, such as machine learning for NLP.
Comprehensive introduction to statistical NLP. It covers the basics of probability and statistics, as well as more advanced topics, such as machine learning for NLP.
Comprehensive guide to NLP with Python. It covers the basics of NLP, such as text preprocessing, tokenization, and stemming, as well as more advanced topics, such as machine learning for NLP.
Comprehensive guide to NLTK. It covers the basics of NLTK, as well as more advanced topics, such as machine learning for NLP.
Practical guide to speech recognition with Python. It covers the basics of speech recognition, as well as more advanced topics, such as machine learning for speech recognition.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/mflz85/select
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Effort
3 weeks of study, 3-4 hours/week
Level
Intermediate
Via
Coursera
Institution
Codio
Instructors
Mohit Chandarana
Kevin Noelsaint
Language
English
This course belongs to a
collection
called
Select Topics in Python. It's comprised of four courses:
- Select Topics in Python: Matplotlib
- Select Topics in Python: Django
- Select Topics in Python: Packaging
- Select Topics in Python: Natural Language Processing (viewing)
Good to know
Explores NLP, which is standard in data science, AI, and ML
Provides hands-on experience without requiring learners to install anything
Provides feedback throughout the learning experience
Covers creating an NLP-powered chatbot, which is a highly in-demand skill
Designed for beginners without experience with NLP
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