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

Real-world NLP

Case Studies for Data Professionals

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.

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.

Enroll now

What's inside

Syllabus

Course Overview
Transforming Your Organization with NLP

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

Save this course

Save Real-world NLP: Case Studies for Data Professionals to your list so you can find it easily later:
Save

Activities

Coming soon We're preparing activities for Real-world NLP: Case Studies for Data Professionals. These are activities you can do either before, during, or after a course.

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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.

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.
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.

Share

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

Similar courses

Here are nine courses similar to Real-world NLP: Case Studies for Data Professionals.
Automating Data Extraction from Documents Using NLP
Clinical Natural Language Processing
Applied Generative AI and Natural Language Processing
Introduction to NLP for Data Practitioners
Learn BERT - essential NLP algorithm by Google
Mastering Natural Language Processing (NLP) with Deep...
Natural Language Processing (NLP) with BERT
Integration Services Fundamentals Part 2
Cohere - An Introduction
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2024 OpenCourser