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Mihaela Danci
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.
Read more
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.
Read more
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/2ftqvf/introduction
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What's inside
Syllabus
Course Overview
Understanding Natural Language Processing (NLP)
Exploring the NLP Pipeline
Good to know
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
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Save Introduction to NLP for Data Practitioners 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 Introduction to NLP for Data Practitioners with these
activities:
Read 'Natural Language Processing with Python' by Steven Bird, Ewan Klein, and Edward Loper
Show steps
Enhance your theoretical understanding of NLP by reading a well-respected textbook covering the field's fundamental concepts.
View
Natural Language Processing with Python:...
on Amazon
Show steps
-
Acquire a copy of the book
-
Read and understand the key concepts
-
Complete the exercises provided in the book
Participate in a study group or discussion forum on NLP
Show steps
Benefit from peer learning and exchange ideas with fellow students by actively participating in discussion forums or study groups.
Browse courses on
NLP
Show steps
-
Identify relevant online forums or study groups
-
Join the group
-
Engage in discussions and ask questions
Follow an online NLP tutorial
Show steps
Solidify your understanding of NLP concepts and techniques by following a comprehensive online tutorial.
Browse courses on
Natural Language Processing
Show steps
-
Identify reputable online tutorial providers
-
Choose a tutorial that aligns with your learning objectives
-
Follow the tutorial instructions and complete the accompanying exercises
Four other activities
Expand to see all activities and additional details
Show all seven activities
Solve NLP exercises and coding challenges
Show steps
Sharpen your NLP problem-solving skills by engaging in coding challenges and exercises.
Browse courses on
NLP
Show steps
-
Find online platforms or books that provide NLP exercises
-
Attempt to solve the exercises independently
-
Review and understand the solutions to the exercises
Build an NLP-powered chatbot or language translation system
Show steps
Apply your NLP skills to create a practical and functional NLP system that addresses a real-world problem.
Browse courses on
NLP Applications
Show steps
-
Identify a specific NLP task to focus on
-
Design and implement the NLP pipeline
-
Evaluate and refine your system's performance
Develop a data visualization to present NLP insights
Show steps
Showcase your ability to interpret and communicate NLP results effectively by creating visually appealing data visualizations.
Browse courses on
NLP
Show steps
-
Identify a specific NLP task or dataset
-
Analyze the results and extract insights
-
Choose an appropriate data visualization technique
-
Create the data visualization
Build an NLP project that addresses a specific business or personal need
Show steps
Solidify your NLP skills by applying them to a real-world project that solves a specific problem and provides tangible value.
Browse courses on
NLP Applications
Show steps
-
Identify a real-world problem that NLP can solve
-
Gather and analyze the necessary data
-
Design and develop your NLP solution
-
Deploy and evaluate your project
Read 'Natural Language Processing with Python' by Steven Bird, Ewan Klein, and Edward Loper
Show steps
Enhance your theoretical understanding of NLP by reading a well-respected textbook covering the field's fundamental concepts.
View
Natural Language Processing with Python:...
on Amazon
Show steps
Show steps
Show steps
- Acquire a copy of the book
- Read and understand the key concepts
- Complete the exercises provided in the book
Participate in a study group or discussion forum on NLP
Show steps
Benefit from peer learning and exchange ideas with fellow students by actively participating in discussion forums or study groups.
Browse courses on
NLP
Show steps
Show steps
Show steps
- Identify relevant online forums or study groups
- Join the group
- Engage in discussions and ask questions
Follow an online NLP tutorial
Show steps
Solidify your understanding of NLP concepts and techniques by following a comprehensive online tutorial.
Browse courses on
Natural Language Processing
Show steps
Show steps
Show steps
- Identify reputable online tutorial providers
- Choose a tutorial that aligns with your learning objectives
- Follow the tutorial instructions and complete the accompanying exercises
Four other activities
Expand to see all activities and additional details
Show all seven activities
Solve NLP exercises and coding challenges
Show steps
Sharpen your NLP problem-solving skills by engaging in coding challenges and exercises.
Browse courses on
NLP
Show steps
Show steps
Show steps
- Find online platforms or books that provide NLP exercises
- Attempt to solve the exercises independently
- Review and understand the solutions to the exercises
Build an NLP-powered chatbot or language translation system
Show steps
Apply your NLP skills to create a practical and functional NLP system that addresses a real-world problem.
Browse courses on
NLP Applications
Show steps
Show steps
Show steps
- Identify a specific NLP task to focus on
- Design and implement the NLP pipeline
- Evaluate and refine your system's performance
Develop a data visualization to present NLP insights
Show steps
Showcase your ability to interpret and communicate NLP results effectively by creating visually appealing data visualizations.
Browse courses on
NLP
Show steps
Show steps
Show steps
- Identify a specific NLP task or dataset
- Analyze the results and extract insights
- Choose an appropriate data visualization technique
- Create the data visualization
Build an NLP project that addresses a specific business or personal need
Show steps
Solidify your NLP skills by applying them to a real-world project that solves a specific problem and provides tangible value.
Browse courses on
NLP Applications
Show steps
Show steps
Show steps
- Identify a real-world problem that NLP can solve
- Gather and analyze the necessary data
- Design and develop your NLP solution
- Deploy and evaluate your project
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 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.
Machine Learning Engineer
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.
Data Scientist
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.
Linguist
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.
Software Engineer
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.
Research Scientist
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.
User Experience Designer
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.
Instructional Designer
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.
Technical Writer
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.
Product Manager
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.
Quantitative Analyst
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.
Content Strategist
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.
Business Analyst
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.
Information Architect
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.
Data Analyst
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.
For more career information including salaries, visit:
OpenCourser.com/course/2ftqvf/introduction
Reading list
We've selected seven 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
Introduction to NLP for Data Practitioners.
Classic textbook on NLP, providing a comprehensive overview of the field. It covers a wide range of topics, from the basics of language to advanced NLP techniques. This book valuable resource for anyone interested in learning about NLP.
Provides a comprehensive overview of deep learning for NLP, covering a wide range of topics, from the basics of deep learning to advanced NLP techniques. This book valuable resource for anyone interested in learning about deep learning for NLP.
Provides a comprehensive overview of statistical NLP, covering a wide range of topics, from the basics of statistical NLP to advanced techniques. This book valuable resource for anyone interested in learning about statistical NLP.
Provides a practical introduction to NLP in Python, covering a wide range of topics, from the basics of NLP to advanced NLP techniques. This book valuable resource for anyone interested in learning about NLP in Python.
Provides a comprehensive overview of NLP, covering a wide range of topics, from the basics of NLP to advanced NLP techniques. This book valuable resource for anyone interested in learning about NLP.
Save
Provides a practical introduction to text mining with R, covering a wide range of topics, from the basics of text mining to advanced text mining techniques. This book valuable resource for anyone interested in learning about text mining with R.
Provides a comprehensive overview of NLP for the social sciences, covering a wide range of topics, from the basics of NLP for the social sciences to advanced NLP for the social sciences techniques. This book valuable resource for anyone interested in learning about NLP for the social sciences.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/2ftqvf/introduction
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Time
41 hours
Level
Introductory
Via
Pluralsight
Instructor
Mihaela Danci
Language
English
Good to know
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
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