Introduction to NLP for Data Practitioners from Pluralsight

Have you ever wondered how virtual assistants understand voice commands or how social media deciphers sentiments? This course will teach you how to extract insights from text data by executing an end-to-end NLP pipeline.

Besides deriving meaningful insights from data such as discerning the sentiments expressed in text, natural language processing (NLP) unlocks the potential of task automatization by facilitating the development of chatbots and language translation systems.

In this course, Introduction to NLP for Data Practitioners, you’ll gain the ability to extract insights from text data.

First, you’ll understand what NLP is and some of the most common applications.

Next, you’ll discover fundamental aspects of human language and the common NLP libraries.

Finally, you’ll learn how to execute an end-to-end NLP pipeline, from text acquisition to analysis. When you’re finished with this course, you’ll have the skills and knowledge of NLP needed to get started processing and analyzing text data.

What's inside

Syllabus

Course Overview

Understanding Natural Language Processing (NLP)

Exploring the NLP Pipeline

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Examines how language processing is integral to a range of modern applications and technologies, such as language translation and chatbots

Taught by Mihaela Danci, an instructor with specialized knowledge in natural language processing

Provides a comprehensive introduction to natural language processing, making it suitable for beginners and those looking to build a strong foundation

Focuses on practical applications of natural language processing, including sentiment analysis and chatbots

Involves hands-on exercises and real-world examples, ensuring learners can apply the concepts they learn

Career center

Learners who complete Introduction to NLP for Data Practitioners will develop knowledge and skills that may be useful to these careers:

Natural Language Processing Engineer

Natural Language Processing Engineers specialize in creating and deploying NLP models. This can include anything from developing chatbots to text summarization tools. With this Introduction to NLP for Data Practitioners course, you can gain an understanding of what NLP is, explore its applications, and learn how to build your own NLP pipeline.

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Machine Learning Engineer

Machine Learning Engineers apply machine learning models to solve real-world problems. NLP is a crucial aspect of utilizing machine learning for tasks that involve extracting insights from text data. By completing this course in Introduction to NLP for Data Practitioners, you will gain a valuable skillset for a career as a Machine Learning Engineer.

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Data Scientist

Data Scientists are responsible for developing new machine learning models, as well as optimizing existing ones. NLP is a fundamental component of many machine learning models, making an understanding of the topic key for success. This Introduction to NLP for Data Practitioners course can empower you with the knowledge and skills you need to get started.

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Linguist

Linguists study the structure and meaning of language. NLP draws heavily on the field of linguistics, as it seeks to understand how computers can understand and generate human language. This Introduction to NLP for Data Practitioners course can introduce you to the key concepts of NLP and help you build a foundation in the field.

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Software Engineer

Software Engineers are responsible for designing, developing, and maintaining software applications. NLP is becoming increasingly important in software development, as it allows computers to understand and interact with human language. Taking this Introduction to NLP for Data Practitioners course can expand your skillset and make you more competitive in the job market.

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Research Scientist

Research Scientists may work in fields such as computer science or linguistics. Many research projects in NLP involve developing new methods and algorithms for natural language processing tasks. This course in Introduction to NLP for Data Practitioners may be a valuable starting point for you.

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User Experience Designer

User Experience Designers create products that are easy and enjoyable to use. NLP is becoming increasingly important in UX design, as it allows designers to create more natural and intuitive interfaces. This Introduction to NLP for Data Practitioners course can be a valuable starting point for you if you're interested in a career in UX design.

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Instructional Designer

Instructional Designers are responsible for designing and developing educational materials. NLP can be a valuable tool for Instructional Designers, as it allows them to create more effective and engaging learning experiences. By completing this course in Introduction to NLP for Data Practitioners, you can build a foundation in NLP and gain the skills you need to succeed in this role.

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Technical Writer

Technical Writers create documentation and other materials that explain technical concepts to non-technical audiences. Understanding NLP can be a valuable asset for Technical Writers, as it can help them to create more clear and concise documentation. This course in Introduction to NLP for Data Practitioners can help you build a foundation in NLP and develop the skills you need to succeed in this role.

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Product Manager

Product Managers are responsible for planning and overseeing the development of new products. In the context of NLP, Product Managers may work on products such as chatbots, language translation tools, or text summarization tools. By completing this course in Introduction to NLP for Data Practitioners, you can gain a foundational understanding of NLP and its applications.

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Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to analyze financial data and make investment decisions. NLP is becoming increasingly important in quantitative finance, as it allows analysts to extract insights from large amounts of unstructured text data. By completing this course in Introduction to NLP for Data Practitioners, you can build a foundation in NLP and gain the skills you need to succeed in this role.

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Content Strategist

Content Strategists are responsible for planning and creating content that meets the needs of a specific audience. NLP can be a valuable tool for Content Strategists, as it allows them to understand the language and tone of their audience. By completing this course in Introduction to NLP for Data Practitioners, you can build a foundation in NLP and gain the skills you need to succeed in this role.

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Business Analyst

Business Analysts are responsible for analyzing business processes and identifying opportunities for improvement. NLP can be a valuable tool for Business Analysts, as it allows them to extract insights from large amounts of customer data. This course in Introduction to NLP for Data Practitioners may be useful in helping you build a foundation in NLP and gain the skills you need to succeed in this role.

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Information Architect

Information Architects are responsible for designing and organizing websites and other digital products. NLP can be a valuable tool for Information Architects, as it allows them to understand how users search for and interact with information. This course in Introduction to NLP for Data Practitioners may be useful in helping you build a foundation in NLP and gain the skills you need to succeed in this role.

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Data Analyst

Data Analysts use their technical proficiency in extracting insights from data to inform business decisions. Your ability to apply NLP to derive insights from text data will prove extremely useful. This course in Introduction to NLP for Data Practitioners may be useful in helping you build a foundation in natural language processing.

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Introduction to NLP for Data Practitioners

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