Global Certificate in NLP for Business Analytics

Name: Global Certificate in NLP for Business Analytics
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The Global Certificate in NLP for Business Analytics is a crucial course designed to meet the growing industry demand for professionals with Natural Language Processing (NLP) skills. This certification equips learners with essential skills to analyze and interpret complex data in the business world.

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AboutThisCourse

NLP is a vital component of data analytics, powering various applications such as sentiment analysis, chatbots, and speech recognition. By mastering NLP techniques, learners can unlock valuable insights from unstructured data, leading to better decision-making and improved business outcomes. This course is essential for career advancement as NLP skills are highly sought after by employers in various industries, including finance, healthcare, and technology. Learners will gain hands-on experience with industry-leading tools and techniques, setting them apart in a competitive job market. By completing this course, learners will demonstrate a deep understanding of NLP and its applications in business analytics, making them attractive candidates for employers looking to harness the power of data.

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Here are the essential units for a Global Certificate in NLP for Business Analytics:

• Natural Language Processing (NLP) Fundamentals: This unit will cover the basics of NLP, including text processing, tokenization, part-of-speech tagging, and named entity recognition. It will also introduce NLP applications in business analytics.

• Sentiment Analysis: This unit will focus on the use of NLP to extract subjective information from text data, such as opinions, appraisals, and emotions. Participants will learn how to use sentiment analysis techniques for brand monitoring, product feedback, and customer service.

• Topic Modeling: This unit will cover unsupervised learning techniques for discovering hidden thematic structures in text data, such as Latent Dirichlet Allocation (LDA) and Non-negative Matrix Factorization (NMF). Participants will learn how to use topic modeling for identifying trends, patterns, and insights in business data.

• Text Classification: This unit will focus on supervised learning techniques for categorizing text data into predefined classes, such as Naive Bayes, Support Vector Machines (SVMs), and deep learning models. Participants will learn how to use text classification for document tagging, spam filtering, and churn prediction.

• Information Extraction: This unit will cover techniques for extracting structured information from unstructured text data, such as Named Entity Recognition (NER), Relation Extraction (RE), and Dependency Parsing. Participants will learn how to use information extraction for knowledge graphs, entity linking, and semantic search.

• Text Summarization: This unit will focus on techniques for generating concise summaries of long text documents, such as extractive and abstractive summarization. Participants will learn how to use text summarization for content curation, report generation, and decision making.

• Conversational AI: This unit will cover the use of NLP for building chatbots, voice assistants, and other conversational interfaces. Participants will

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EntryRequirements

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ProficiencyEnglish
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FastTrack GBP £140

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ThreeFourHoursPerWeek
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StandardMode GBP £90

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TwoThreeHoursPerWeek
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GLOBAL CERTIFICATE IN NLP FOR BUSINESS ANALYTICS

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London School of International Business (LSIB)

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05 May 2025

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