NLP Advanced

Data Skills May 19, 2022

Master the advanced algorithms for unstructured data processing. Solve complex problems with advanced Natural Language Processing techniques and methodologies.

Best suited for system developers who want to advance their understanding and applications of Natural Language Processing techniques.

Dive deeper into natural language processing.

Get deeper into natural language processing to support more complex system requirements.


Advance analytics for texts and speech insights.

Natural language processing (NLP) is the study of human language from a computational perspective.

You will undergo an advanced study of frameworks, algorithms and methods in NLP -- including state-of-the-art techniques for problems such as language modelling, text classification, machine translation, and question answering.


In-depth study of semantic use cases.

You will dive even deeper into some of the latest Deep Learning techniques for text and time series applications with the instructors.

The course covers syntactic, semantic and discourse processing models, emphasizing machine learning or corpus-based methods and algorithms. It also covers applications of these methods and models in syntactic parsing, information extraction, statistical machine translation, dialogue systems, and summarization.


Build intelligent communication applications.

Best suited for machine learning analysts, data scientists, and business intelligence professionals who want to turn text into data for deeper analysis with advanced Natural Language Processing (NLP) techniques.

Learning Outcome

Upon completion, participants should be able to demonstrate each of the following;

  1. Describe common applications of Deep Learning for NLP and perform text cleaning and pre-processing techniques for modelling with neural networks.
  2. Perform more powerful word representation in word embeddings.
  3. Perform convolutional neural network (CNN) and Long short-term memory (LSTM) using Keras for classification and sentiment analysis.

Learning Path

Natural Language Processing - Advanced is one of the modules under the CADS Enterprise Data Scientist (EDS) Programme. EDS is a 23-26 days training program that supercharges Business Data Scientists with new skills to analyze and communicate insights effectively.

CADS Certification

Each exam in this program certifies job-ready knowledge and skill. Those that pass all are recognized as being able to distil insight from data and communicate its value to a decision-maker. Enter the world of Data Professionals.



Max is the official mascot for CADS or the Center of Applied Data Science.