We may earn an affiliate commission when you visit our partners.

Real-world NLP

Case Studies for Data Professionals

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.

This course is no longer available. Find something similar by browsing:

NLP Machine Learning Text Processing Artificial Intelligence Natural Language Processing

What's inside

Syllabus

Traffic lights

Read about what's good

what should give you pause

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

Save this course

Create your own learning path. Save this course to your list so you can find it easily later.

Save

Reviews summary

Practical nlp for data professionals

According to students, this course provides a strong foundation in applying NLP concepts to real-world data workflows across various industries. Learners particularly appreciate the focus on practical case studies in areas like healthcare and finance, finding the content immediately applicable. The course helps data professionals recognize opportunities for NLP integration, enhancing their organization's efficiency. While its emphasis is on application, some learners might seek deeper theoretical dives, but for those focused on implementation, it offers valuable insights.

Provides broad overview, may lack advanced technical depth.

"For someone new to applied NLP, this course is a great start, but I wouldn't expect highly technical details."

"I wished for more in-depth explanations on the underlying algorithms, though the case studies were good."

"The course is excellent for understanding application, but don't expect it to make you an NLP algorithm expert."

Ideal for professionals seeking practical NLP applications.

"As a data professional, I found this course incredibly relevant to my daily work and career goals."

"This course is clearly designed for practitioners who want to implement, not just learn theory."

"If you're looking to apply NLP in a business context, this course hits the mark perfectly."

Teaches seamless NLP integration into data processes.

"I learned practical strategies to put NLP to work in my organization, which was exactly what I needed."

"The course demonstrated how to make data workflows faster and more efficient using NLP tools."

"It's not just about NLP; it's about making my existing data handling processes better with NLP."

Explores NLP applications across diverse industries.

"The case studies, especially those in finance and e-commerce, were incredibly insightful and relevant."

"It was great to see how NLP is being used in different sectors; it really broadened my perspective."

"I found the examples from various industries made the complex NLP concepts much more relatable."

Focuses on practical, applicable NLP solutions.

"I really valued the course's focus on how to apply NLP in real business scenarios, not just abstract theory."

"This course helped me understand where NLP can truly make a difference in my daily data work."

"The hands-on examples showed me exactly how to integrate NLP tools into existing workflows for immediate impact."

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.

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:

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.

See salaries and explore the career path for Machine Learning Engineer

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.

See salaries and explore the career path for Data Scientist

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.

See salaries and explore the career path for Investment Manager

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.

See salaries and explore the career path for Marketing 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.

See salaries and explore the career path for Healthcare Analyst

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.

See salaries and explore the career path for Data Engineer

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.

See salaries and explore the career path for Data 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.

See salaries and explore the career path for Financial Analyst

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.

See salaries and explore the career path for Business Development Manager

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.

See salaries and explore the career path for Business Analyst

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.

See salaries and explore the career path for Product 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.

See salaries and explore the career path for Marketing Manager

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.

See salaries and explore the career path for Software Engineer

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.

See salaries and explore the career path for Sales 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.

See salaries and explore the career path for Customer Success Manager

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.

Cross-Lingual Word Embeddings

Save

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.

Cross-Lingual Word Embeddings (Synthesis Lectures...

Paperback

Natural Language Processing in Action, Second...

Save

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.

Natural Language Processing in Action, Second...

Paperback

$$$

Speech and Language Processing. An Introduction to...

Save

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.

Speech and Language Processing An Introduction to...

Paperback

Natural Language Processing with Python

Save

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.

Natural Language Processing with Python: Analyzing...

Paperback

$$$

(中文) Python Natural Language Processing(Chinese Edition)

Paperback

Natural Language Processing with Python: Analyzing...

Kindle Edition

Digital Speech Processing

Save

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.

Digital Speech Processing, Synthesis, and...

Hardcover

$$$

Digital Speech Processing: Synthesis, and...

Kindle Edition

$$$$

TensorFlow in Action

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.

Help others find this course page by sharing it with your friends and followers: