Data Science Natural Language Processing (NLP) in Python

Applications: decrypting ciphers, spam detection, sentiment analysis, article spinners, and latent semantic analysis.

Tailored for data scientists, analysts, and language enthusiasts, this program offers an in-depth understanding of NLP techniques, empowering learners to extract valuable insights from textual data.

What You Will Learn:

  1. Introduction to Natural Language Processing:
    • Gain a fundamental understanding of the principles and applications of Natural Language Processing.
    • Explore the challenges and opportunities in processing and analyzing human language.
  2. Text Preprocessing and Cleaning:
    • Learn effective techniques for cleaning and preprocessing textual data.
    • Explore methods for tokenization, stemming, and removing stop words.
  3. Text Representation Techniques:
    • Dive into various methods for representing text data, including bag-of-words, TF-IDF, and word embeddings.
    • Understand how to choose the appropriate representation for different NLP tasks.
  4. Sentiment Analysis:
    • Explore sentiment analysis techniques for gauging the emotional tone of text data.
    • Learn how to build models that can classify text as positive, negative, or neutral.
  5. Named Entity Recognition (NER):
    • Understand how to identify and classify named entities in text, such as names, locations, and organizations.
    • Explore NER techniques and their applications in information extraction.
  6. Topic Modeling:
    • Dive into topic modeling methods, including Latent Dirichlet Allocation (LDA).
    • Learn how to uncover latent topics within large text corpora.
  7. Text Classification:
    • Explore text classification techniques for categorizing text into predefined classes or categories.
    • Understand how to build machine learning models for text classification tasks.
  8. Natural Language Processing in Real-world Projects:
    • Apply your knowledge through hands-on projects and real-world case studies.
    • Gain practical experience in solving NLP challenges and extracting meaningful insights from diverse textual datasets.

The hands-on projects were engaging, allowing me to apply NLP techniques to real-world scenarios. I appreciated the practical focus of the course. Whether you're a data scientist or someone interested in the power of language processing, this course is a must.


The instructors break down complex NLP concepts into digestible modules, and the practical exercises helped solidify my understanding. The coverage of sentiment analysis, named entity recognition, and topic modeling provided a well-rounded view of NLP applications.


Your Instructor

Yoohoo Academy
Yoohoo Academy

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Frequently Asked Questions

When does the course start and finish?
The course starts now and never ends! It is a completely self-paced online course - you decide when you start and when you finish.
How long do I have access to the course?
How does lifetime access sound? After enrolling, you have unlimited access to this course for as long as you like - across any and all devices you own.
What if I am unhappy with the course?
We would never want you to be unhappy! If you are unsatisfied with your purchase, contact us in the first 30 days and we will give you a full refund.

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