The digital learning ecosystem An efficient management approach to capability development, delivering smarter teams, improved productivity and better business outcome for the managers.
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Training provider of the year: 2013, 14 and 15
Upstream learning simulator With more than 50,000 participants instructed in various disciplines, data driven OilSim runs real-world oil and gas business scenarios and technical challenges.Engaging. Educational. Enjoyable
Develop measurable skills and capabilities
This course introduces essential concepts of natural language processing (NLP) with emphasis on the methods to extract actionable insights from unstructured text data. The topics include text clustering and classification, similarity analysis, text summarization and topic modeling.
After completing this course you will be able to:
This course is delivered entirely online, for 4 hours each day.
Natural Language Processing Basics
Introduction to Python for Natural Language Processing
Text Processing and Feature Engineering
Text Similarity and Clustering
Geoscientists, Engineers, IT professionals and aspiring Citizen Data Scientists working in the oil and gas industry who want to be introduced to text mining techniques.
Participants should have completed a foundational course on data analytics, such as NExT Fundamentals of Data Analytics, NExT Essential Data Science for Petroleum Geoscientists and Engineers, or an equivalent course. Exposure to Python programming is also preferred.
Customize your own learning journey and track your progress when you start using a defined learning path.