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David Clinton
You've heard that NLP will disrupt just about everything, but you're not sure what that means for the ways you handle data. This course will teach you how NLP can be successfully adopted for real-world data workflows across multiple industries.
Read more
You've heard that NLP will disrupt just about everything, but you're not sure what that means for the ways you handle data. This course will teach you how NLP can be successfully adopted for real-world data workflows across multiple industries.
Read more
You've heard that NLP will disrupt just about everything, but you're not sure what that means for the ways you handle data. This course will teach you how NLP can be successfully adopted for real-world data workflows across multiple industries.
If you're not integrating NLP tools into the ways you handle data, then you're probably leaving money on the table. In this course, Real-world NLP: Case Studies for Data Professionals, you’ll learn to recognize opportunities for productively putting NLP to work for you. First, you’ll explore integrating NLP into healthcare and finance processes. Next, you’ll discover how work within the e-commerce and entertainment sectors can be optimized. Finally, you’ll learn how to think creatively to apply innovations wherever you work. When you’re finished with this course, you’ll have the skills and knowledge of NLP workflow integrations needed to make yourself and your organization faster and more efficient.
Register for this course and see more details by visiting:
OpenCourser.com/course/2jc59o/real
What's inside
Syllabus
Course Overview
Transforming Your Organization with NLP
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Provides a solid foundation for beginners, teaching essential NLP concepts and their applications
Taught by David Clinton, an experienced instructor recognized for his expertise in NLP
Focuses on real-world applications, making the learning outcomes highly relevant in various industries
Emphasizes the importance of NLP integration in data workflows to enhance efficiency and productivity
Covers a diverse range of industry use cases, including healthcare, finance, e-commerce, and entertainment
Course materials include videos, readings, and discussions, providing a multi-modal learning experience
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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 Real-world NLP: Case Studies for Data Professionals with these
activities:
Brush Up on Python Programming
Show steps
Ensure you have a solid understanding of Python before starting the course.
Browse courses on
Python Programming
Show steps
-
Review the basics of Python syntax, data structures, and control flow.
-
Complete coding exercises or practice problems to refresh your skills.
Organize Course Materials
Show steps
Stay organized and enhance your learning experience by compiling and reviewing course materials.
Show steps
-
Create a dedicated folder or notebook for the course.
-
Download and print lecture slides and handouts.
-
Compile your notes, assignments, and any additional resources.
Review NLP history and applications
Show steps
Apply prior knowledge to the field of NLP. This will help recall and make new information even more meaningful.
Browse courses on
NLP Applications
Show steps
-
Review notes and materials from previous coursework or introductory NLP content.
-
Complete practice questions or take an online quiz on NLP basics.
11 other activities
Expand to see all activities and additional details
Show all 14 activities
Review NLP Concepts
Show steps
Prepare for success by reviewing core NLP concepts before the course starts.
Browse courses on
Natural Language Processing
Show steps
-
Read the course overview and preview the syllabus to get an idea of the topics that will be covered.
-
Review your notes and assignments from previous courses in NLP or related fields.
-
Take practice quizzes or complete practice problems to test your understanding of NLP fundamentals.
-
Watch introductory videos or tutorials on NLP to refresh your memory.
Read 'Natural Language Processing with Python'
Show steps
Gain additional insights and perspectives by reading a comprehensive book on NLP.
View
Natural Language Processing with Python:...
on Amazon
Show steps
-
Read the chapters that align with the topics covered in the course.
-
Take notes and highlight key concepts for future reference.
Follow NLP tutorials and walkthroughs
Show steps
Expand knowledge by exploring additional resources and gaining practical insights.
Browse courses on
Natural Language Processing
Show steps
-
Identify reputable online resources or tutorials that provide in-depth coverage of NLP topics.
-
Follow the tutorials step-by-step, taking notes and completing any exercises or projects.
-
Experiment with different NLP techniques and tools to gain hands-on experience.
Complete NLP exercises and coding challenges
Show steps
Strengthen foundational understanding of NLP concepts and techniques.
Browse courses on
Natural Language Processing
Show steps
-
Find online platforms or resources that provide NLP exercises and coding challenges.
-
Practice regularly by working through exercises and challenges covering different NLP tasks.
-
Analyze and debug code to improve problem-solving and coding proficiency.
Join a Study Group
Show steps
Enhance your comprehension and recall through collaborative learning with peers.
Show steps
-
Find or create a study group with other students enrolled in the course.
-
Meet regularly to discuss course materials, complete assignments together, and quiz each other.
-
Share resources, ideas, and insights to support each other's learning.
Engage in discussions and study groups
Show steps
Enhance understanding through collaboration, peer support, and exchange of ideas.
Browse courses on
Natural Language Processing
Show steps
-
Join online forums or discussion groups dedicated to NLP.
-
Participate in discussions, ask questions, and share knowledge with other learners.
-
Form study groups with peers to review concepts, work on projects, and provide feedback.
Complete Practice Exercises
Show steps
Deepen your understanding and improve your skills through regular practice.
Show steps
-
Work through the practice exercises provided in the course materials.
-
Find additional practice exercises or coding challenges online to further test your abilities.
-
Participate in online forums or discussion groups to ask questions and learn from others.
Explore Online Tutorials
Show steps
Supplement your learning by seeking out additional resources and tutorials online.
Show steps
-
Search for online tutorials, videos, or articles that cover specific NLP topics.
-
Follow along with the tutorials, take notes, and try out the exercises provided.
-
Use these tutorials to reinforce your understanding and clarify any concepts you may have missed.
Develop an NLP glossary or cheat sheet
Show steps
Reinforce understanding of key NLP concepts and improve recall.
Browse courses on
Natural Language Processing
Show steps
-
Create a list of important NLP terms, concepts, and techniques.
-
Define each term clearly and provide examples to illustrate its usage.
-
Organize the glossary or cheat sheet for easy reference.
Develop an NLP Application
Show steps
Showcase your skills and solidify your understanding by creating a practical NLP application.
Show steps
-
Identify a problem or opportunity that can be addressed using NLP.
-
Design and develop an NLP-based solution.
-
Test and evaluate your application to ensure its accuracy and effectiveness.
Build an NLP project or prototype
Show steps
Apply NLP knowledge and skills to create a tangible deliverable, showcasing problem-solving abilities and practical implementation.
Browse courses on
Natural Language Processing
Show steps
-
Identify a specific NLP problem or task to address.
-
Design and implement an NLP solution using appropriate tools and techniques.
-
Evaluate the performance of the project or prototype and identify areas for improvement.
Brush Up on Python Programming
Show steps
Ensure you have a solid understanding of Python before starting the course.
Browse courses on
Python Programming
Show steps
Show steps
Show steps
- Review the basics of Python syntax, data structures, and control flow.
- Complete coding exercises or practice problems to refresh your skills.
Organize Course Materials
Show steps
Stay organized and enhance your learning experience by compiling and reviewing course materials.
Show steps
Show steps
Show steps
- Create a dedicated folder or notebook for the course.
- Download and print lecture slides and handouts.
- Compile your notes, assignments, and any additional resources.
Review NLP history and applications
Show steps
Apply prior knowledge to the field of NLP. This will help recall and make new information even more meaningful.
Browse courses on
NLP Applications
Show steps
Show steps
Show steps
- Review notes and materials from previous coursework or introductory NLP content.
- Complete practice questions or take an online quiz on NLP basics.
11 other activities
Expand to see all activities and additional details
Show all 14 activities
Review NLP Concepts
Show steps
Prepare for success by reviewing core NLP concepts before the course starts.
Browse courses on
Natural Language Processing
Show steps
Show steps
Show steps
- Read the course overview and preview the syllabus to get an idea of the topics that will be covered.
- Review your notes and assignments from previous courses in NLP or related fields.
- Take practice quizzes or complete practice problems to test your understanding of NLP fundamentals.
- Watch introductory videos or tutorials on NLP to refresh your memory.
Read 'Natural Language Processing with Python'
Show steps
Gain additional insights and perspectives by reading a comprehensive book on NLP.
View
Natural Language Processing with Python:...
on Amazon
Show steps
Show steps
Show steps
- Read the chapters that align with the topics covered in the course.
- Take notes and highlight key concepts for future reference.
Follow NLP tutorials and walkthroughs
Show steps
Expand knowledge by exploring additional resources and gaining practical insights.
Browse courses on
Natural Language Processing
Show steps
Show steps
Show steps
- Identify reputable online resources or tutorials that provide in-depth coverage of NLP topics.
- Follow the tutorials step-by-step, taking notes and completing any exercises or projects.
- Experiment with different NLP techniques and tools to gain hands-on experience.
Complete NLP exercises and coding challenges
Show steps
Strengthen foundational understanding of NLP concepts and techniques.
Browse courses on
Natural Language Processing
Show steps
Show steps
Show steps
- Find online platforms or resources that provide NLP exercises and coding challenges.
- Practice regularly by working through exercises and challenges covering different NLP tasks.
- Analyze and debug code to improve problem-solving and coding proficiency.
Join a Study Group
Show steps
Enhance your comprehension and recall through collaborative learning with peers.
Show steps
Show steps
Show steps
- Find or create a study group with other students enrolled in the course.
- Meet regularly to discuss course materials, complete assignments together, and quiz each other.
- Share resources, ideas, and insights to support each other's learning.
Engage in discussions and study groups
Show steps
Enhance understanding through collaboration, peer support, and exchange of ideas.
Browse courses on
Natural Language Processing
Show steps
Show steps
Show steps
- Join online forums or discussion groups dedicated to NLP.
- Participate in discussions, ask questions, and share knowledge with other learners.
- Form study groups with peers to review concepts, work on projects, and provide feedback.
Complete Practice Exercises
Show steps
Deepen your understanding and improve your skills through regular practice.
Show steps
Show steps
Show steps
- Work through the practice exercises provided in the course materials.
- Find additional practice exercises or coding challenges online to further test your abilities.
- Participate in online forums or discussion groups to ask questions and learn from others.
Explore Online Tutorials
Show steps
Supplement your learning by seeking out additional resources and tutorials online.
Show steps
Show steps
Show steps
- Search for online tutorials, videos, or articles that cover specific NLP topics.
- Follow along with the tutorials, take notes, and try out the exercises provided.
- Use these tutorials to reinforce your understanding and clarify any concepts you may have missed.
Develop an NLP glossary or cheat sheet
Show steps
Reinforce understanding of key NLP concepts and improve recall.
Browse courses on
Natural Language Processing
Show steps
Show steps
Show steps
- Create a list of important NLP terms, concepts, and techniques.
- Define each term clearly and provide examples to illustrate its usage.
- Organize the glossary or cheat sheet for easy reference.
Develop an NLP Application
Show steps
Showcase your skills and solidify your understanding by creating a practical NLP application.
Show steps
Show steps
Show steps
- Identify a problem or opportunity that can be addressed using NLP.
- Design and develop an NLP-based solution.
- Test and evaluate your application to ensure its accuracy and effectiveness.
Build an NLP project or prototype
Show steps
Apply NLP knowledge and skills to create a tangible deliverable, showcasing problem-solving abilities and practical implementation.
Browse courses on
Natural Language Processing
Show steps
Show steps
Show steps
- Identify a specific NLP problem or task to address.
- Design and implement an NLP solution using appropriate tools and techniques.
- Evaluate the performance of the project or prototype and identify areas for improvement.
Career center
Learners who complete Real-world NLP: Case Studies for Data Professionals will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
A Data Scientist uses scientific methods to analyze data and extract insights. They use these insights to develop predictive models and make recommendations that improve business outcomes. This course can help you develop the skills needed to be a successful Data Scientist, including how to use NLP to build machine learning models.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer develops and deploys machine learning models. They use these models to automate tasks and improve business outcomes. This course can help you develop the skills needed to be a successful Machine Learning Engineer, including how to use NLP to build and deploy machine learning models.
Healthcare Analyst
Healthcare Analyst
A Healthcare Analyst specializes in collecting, analyzing, and interpreting healthcare data. They use their findings to improve patient care and reduce costs. This course can help you develop the skills needed to be a successful Healthcare Analyst, including how to use NLP to analyze healthcare data and make recommendations that improve patient care.
Data Analyst
Data Analyst
A Data Analyst specializes in collecting, cleaning, and analyzing data. They use their findings to make recommendations that improve business outcomes. This course can help you develop the skills needed to be a successful Data Analyst, including how to use NLP to automate data analysis tasks.
Financial Analyst
Financial Analyst
A Financial Analyst specializes in collecting, analyzing, and interpreting financial data. They use their findings to make investment recommendations and develop financial strategies. This course can help you develop the skills needed to be a successful Financial Analyst, including how to use NLP to analyze financial data and make investment recommendations.
Marketing Analyst
Marketing Analyst
A Marketing Analyst specializes in collecting, analyzing, and interpreting marketing data. They use their findings to improve marketing campaigns and increase sales. This course can help you develop the skills needed to be a successful Marketing Analyst, including how to use NLP to analyze marketing data and make recommendations that improve marketing campaigns.
Data Engineer
Data Engineer
A Data Engineer is responsible for designing, building, and maintaining data pipelines. They work with data analysts, data scientists, and other engineers to ensure that data is available and accessible. This course can help you develop the skills needed to be a successful Data Engineer, including how to use NLP to automate data pipeline tasks.
Investment Manager
Investment Manager
An Investment Manager is responsible for managing investment portfolios. They work with clients to develop investment strategies and make investment decisions. This course can help you develop the skills needed to be a successful Investment Manager, including how to use NLP to analyze investment data and make investment decisions.
Customer Success Manager
Customer Success Manager
A Customer Success Manager is responsible for ensuring that customers are satisfied with their products or services. They work with customers to resolve issues, provide support, and ensure that customers are getting the most value from their products or services. This course can help you develop the skills needed to be a successful Customer Success Manager, including how to use NLP to analyze customer data and make recommendations that improve customer satisfaction.
Product Manager
Product Manager
A Product Manager is responsible for the development and launch of new products. They work with engineers, designers, and marketers to bring new products to market. This course can help you develop the skills needed to be a successful Product Manager, including how to use NLP to understand customer needs and develop new products.
Sales Manager
Sales Manager
A Sales Manager is responsible for leading and managing a team of sales representatives. They work with sales representatives to develop sales strategies and close deals. This course can help you develop the skills needed to be a successful Sales Manager, including how to use NLP to analyze sales data and make recommendations that improve sales performance.
Business Analyst
Business Analyst
A Business Analyst helps businesses understand their data and make better decisions. They use their analytical skills to identify opportunities and solve problems. This course can help you develop the skills needed to be a successful Business Analyst, including how to use NLP to analyze data and make recommendations.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software applications. They work with other engineers, designers, and product managers to bring new software products to market. This course can help you develop the skills needed to be a successful Software Engineer, including how to use NLP to build software applications that process and understand natural language.
Marketing Manager
Marketing Manager
A Marketing Manager is responsible for developing and executing marketing campaigns. They work with creative teams, media buyers, and data analysts to reach target audiences and achieve marketing goals. This course can help you develop the skills needed to be a successful Marketing Manager, including how to use NLP to analyze customer data and develop targeted marketing campaigns.
Business Development Manager
Business Development Manager
A Business Development Manager is responsible for generating new business for a company. They work with potential customers to develop sales leads and close deals. This course can help you develop the skills needed to be a successful Business Development Manager, including how to use NLP to analyze market data and identify potential customers.
For more career information including salaries, visit:
OpenCourser.com/course/2jc59o/real
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
Real-world NLP: Case Studies for Data Professionals.
Delves into the latest advancements in deep learning for NLP. It covers topics such as neural network architectures, attention mechanisms, and transformer models, providing a comprehensive overview of the field's cutting-edge techniques.
Focuses on practical NLP applications in Python. It provides detailed examples and case studies, demonstrating how to use NLP techniques to solve real-world problems in various domains.
This classic textbook provides a comprehensive overview of speech and language processing. It covers foundational concepts, algorithms, and applications, making it a valuable resource for those seeking a deeper understanding of the field.
Comprehensive guide to the NLTK, a popular Python library for NLP. It provides hands-on examples and exercises, making it a valuable resource for those looking to implement NLP solutions using NLTK.
Focuses on speech recognition technologies. While not directly related to NLP, it provides valuable insights into the challenges and techniques involved in processing and understanding spoken language.
Save
Focuses on NLP using TensorFlow. It covers topics such as text preprocessing, feature extraction, and neural network models, providing a valuable resource for those looking to implement NLP solutions using TensorFlow.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/2jc59o/real
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Cohere - An Introduction
Time
31 hours
Level
Introductory
Via
Pluralsight
Instructor
David Clinton
Language
English
Good to know
Provides a solid foundation for beginners, teaching essential NLP concepts and their applications
Taught by David Clinton, an experienced instructor recognized for his expertise in NLP
Focuses on real-world applications, making the learning outcomes highly relevant in various industries
Emphasizes the importance of NLP integration in data workflows to enhance efficiency and productivity
Covers a diverse range of industry use cases, including healthcare, finance, e-commerce, and entertainment
Course materials include videos, readings, and discussions, providing a multi-modal learning experience
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