Natural Language Processing Python Course
What will I learn?
Learn how to use Natural Language Processing with Python in this course designed for people working with Business Intelligence. You'll learn how to prepare data, clean text, break it down into smaller parts (tokenization), and deal with common words that don't add much meaning. You'll also explore how to find the main topics in text using Latent Dirichlet Allocation (LDA), and understand how people feel about things using sentiment analysis with TextBlob and NLTK. You'll visualize your findings using Seaborn and Matplotlib, and turn what you learn into useful advice for business. Improve your Business Intelligence skills with practical, high-quality training.
Apoia's Unique Features
Develop skills
Strengthen the development of the practical skills listed below
Learn how to find the main topics in text using Latent Dirichlet Allocation (LDA).
Clean and prepare text data for Natural Language Processing work.
Use Pandas to explore and understand your data.
Create nice visuals using Seaborn and Matplotlib.
Do sentiment analysis using TextBlob and NLTK.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can change the chapters and the workload.
- Choose which chapter to start with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can add
You will be able to generate more chapters like the examples below
This is a free course, focused on personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.