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Overview

The Natural Language Processing (NLP) Fundamentals with Python course is designed for professionals and learners seeking to understand and implement NLP techniques. This course introduces foundational concepts of NLP, enabling learners to process and analyse textual data effectively using Python.

NLP is a key area of AI, driving innovations in applications such as chatbots, sentiment analysis, and language translation. This course covers essential topics including text preprocessing, tokenisation, sentiment analysis, and text classification, empowering learners to create NLP solutions for real-world problems.

This intensive 2-day training includes expert-led sessions, hands-on exercises, and practical case studies. Learners will gain experience with popular Python libraries like NLTK, spaCy, and TensorFlow, equipping them to implement NLP techniques in various applications.
 

Course Objectives

  • Understand the fundamentals of Natural Language Processing
  • Learn to preprocess and tokenise textual data using Python libraries
  • Develop skills in sentiment analysis and text classification
  • Explore techniques for language modelling and text summarisation
  • Apply NLP techniques to real-world datasets and projects

Upon completion, learners will possess the knowledge and skills to implement NLP techniques effectively, advancing their expertise in AI and data science applications.

 

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Average completion time

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Course Includes

Course Details

Develop your understanding of essential financial, business and management accounting techniques with ACCA Applied Knowledge. You'll learn basic business and management principles and the skills required of an accountant working in business.

Entry Requirements

    • Educational Background: A basic understanding of programming and data science is recommended. 

    • Technical Proficiency: Familiarity with Python is essential, as the course involves hands-on coding exercises. 

    • Interest in NLP: Ideal for individuals eager to explore Natural Language Processing and its applications in AI and data science. 

Learning Outcomes

    • Master NLP Fundamentals: Understand key concepts such as tokenisation, language modelling, and text classification. 

    • Develop Practical Skills: Gain expertise in using Python libraries like NLTK and spaCy for text processing and analysis. 

    • Solve Real-World Problems: Apply NLP techniques to tasks such as sentiment analysis, text summarisation, and entity recognition. 

    • Build NLP Solutions: Learn to implement and evaluate NLP models for various applications. 

Target Audience


    The Natural Language Processing (NLP) Fundamentals with Python course is tailored for professionals and learners eager to explore NLP techniques. It provides practical skills to process and analyse textual data effectively using Python. Below are the individuals who will benefit from this course: 

    • Software Developers 

    • Data Scientists 

    • Machine Learning Engineers 

    • Data Analysts 

    • Artificial Intelligence (AI) Researchers 

    • Product Managers 

    • Business Analysts 

Course content


    Module 1: Introduction to NLP 

    • What is Natural Language Processing? 

    • Why is NLP Important? 

    • Applications of NLP 

    • Challenges in NLP 

    • Tools and Resources for NLP
       

    Module 2: Text Preprocessing 

    • Text Cleaning and Normalisation 

    • Tokenisation 

    • Part of Speech Tagging 

    • Named Entity Recognition 

    • Stop Word Removal
       

    Module 3: Text Representation 

    • Bag of Words 

    • Term Frequency-Inverse Document Frequency (TF-IDF) 

    • Word Embeddings 

    • Topic Modelling
       

    Module 4: Text Classification 

    • Supervised Learning 

    • Naive Bayes 

    • Support Vector Machines (SVM) 

    • Decision Trees 

    • Evaluation Metrics for Text Classification
       

    Module 5: Advanced NLP Techniques 

    • Sequence Labelling 

    • Language Modelling 

    • Neural Machine Translation 

    • Sentiment Analysis 

    • Text Summarisation 

     

MPES Support That Helps You Succeed

At MPES, we offer comprehensive support to help you succeed in your studies. With expert guidance and valuable resources, we help you stay on track throughout your course.

  • MPES Learning offers dedicated support to help you succeed in Accounting and Finance courses.
  • Get expert guidance from tutors available online to assist with your studies.
  • Check your eligibility for exemptions with the relevant professional body before starting.
  • Our supportive team is here to offer study advice and support throughout your course.
  • Access a range of materials to help enhance your learning experience. These resources include practice exercises and additional reading to support your progress.

Career Growth Stories

MPES Learning offers globally recognised courses in accounting,

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Have Questions? We’ve Got You

If you have any questions, we’re here to help. Find the answers you need in the MPES detailed FAQ section.

Q. What is the focus of the NLP Fundamentals with Python course?

This course focuses on introducing learners to NLP concepts and techniques, enabling them to process and analyse textual data effectively using Python libraries like NLTK and spaCy. 

Q. Do I need prior experience with Python to take this course?

Yes, familiarity with Python is essential, as the course involves hands-on coding exercises and practical implementation of NLP techniques. 

Q. What practical skills will I gain from this course?

You will learn to preprocess text, perform sentiment analysis, implement text classification, and use Python libraries like TensorFlow for NLP tasks such as language modelling and summarisation. 

Q. Who should take this course?

This course is ideal for Data Scientists, Machine Learning Engineers, Software Developers, and anyone interested in building NLP solutions for AI and data science applications. 

Q. How is the course delivered?

The course combines expert-led sessions, hands-on exercises, and practical case studies, ensuring a comprehensive and applied understanding of NLP concepts and techniques. 

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Resources

Access a wide range of free resources to support your learning journey. From blogs to news and podcasts, these valuable guides are available at no cost to help you succeed.

Course Schedule

£3995

Natural Language Processing (NLP) Fundamentals with Python

2nd May 2024

3rd May 2024

(2 days)

DELIVERY METHOD

Classroom

£3995

Natural Language Processing (NLP) Fundamentals with Python

3rd October 2024

4th October 2024

(2 days)

DELIVERY METHOD

Classroom

Course Schedule

£2495

Natural Language Processing (NLP) Fundamentals with Python

Thu 11th Jan 2024

Fri 12th Jan 2024

Duration - 2 Days

DELIVERY METHOD

Virtual

£2495

Natural Language Processing (NLP) Fundamentals with Python

Thu 18th Apr 2024

Fri 19th Apr 2024

Duration - 2 Days

DELIVERY METHOD

Virtual

£2495

Natural Language Processing (NLP) Fundamentals with Python

Thu 22nd Aug 2024

Fri 23rd Aug 2024

Duration - 2 Days

DELIVERY METHOD

Virtual

£2495

Natural Language Processing (NLP) Fundamentals with Python

Thu 21st Nov 2024

Fri 22nd Nov 2024

Duration - 2 Days

DELIVERY METHOD

Virtual