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Top 10 Skills for Computational Linguistics

Top 10 Skills for Computational Linguistics

31mBeginner2022-09-09

Authors

Ben Sullins

Ben Sullins

Data Geek, Tech Consultant

Free the Data Academy

Free the Data Academy

Data Analytics Training Company

Course details

Check out the Top 10 Skills series, where career experts and LinkedIn Learning instructors walk you through the most important skills for data science professionals today. In this short beginner-friendly course, find out what you need to know to succeed in the rapidly growing field of computational linguistics, gathering insights along the way from data expert Ben Sullins to build out your toolbox and boost your career.

Whether you’re looking for a new move in data science, or just retooling for your current role, Ben shows you the skill set that can set you apart, working down the list, one skill at a time. Explore the power of knowing more about linguistics, data science, Python, natural language processing, natural language processing tasks, text sentiment, machine translation, machine learning, speech recognition, and soft skills like leadership, problem-solving, and creativity. Discover the importance of preparing for tomorrow by learning impactful, new skills today.

Skills covered

Data Science FoundationsArtificial Intelligence FoundationsPersonaArtificial Intelligence (AI)Data Science

Concepts

1. Top 10 Skills for Computational Linguistics

  • 01 - Skills for computational linguistics
  • 02 - Linguistics
  • 03 - Data science
  • 04 - Python
  • 05 - NLP
  • 06 - NLP tasks
  • 07 - Text sentiment
  • 08 - Machine translation
  • 09 - Machine learning
  • 10 - Speech recognition
  • 11 - Soft skills

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