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We're here to help you find itTEXT Analysis with Python ( NLP) Course Overview
The "Text Analysis with Python (NLP)" course provides comprehensive natural language processing training designed to equip learners with the skills necessary to analyze, understand, and generate insights from textual data. Starting with the Natural Language Basics, students are introduced to the fundamentals of linguistics and language structure, ensuring a solid foundation in the principles underpinning natural language processing.
Through the subsequent modules, participants will receive a Python refresher, covering essential programming concepts and Regex, which are crucial for handling text data. The course then dives into practical NLP techniques, including Text tokenization, Text classification, and Sentiment analysis, providing hands-on experience with real-world applications.
By the end of this natural language processing course, learners will be adept at performing Text summarization, understanding Text similarity, and Clustering, as well as Semantic analysis. This training not only imparts theoretical knowledge but also emphasizes practical skills, preparing students to tackle NLP challenges across various domains.
Successfully delivered 1 sessions for over 2 professionals
Intermediate
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USD
View Fees Breakdown
Course Fee | 1,575 |
Total Fees |
1,575 (USD) |
USD
View Fees Breakdown
Course Fee | 1,150 |
Total Fees |
1,150 (USD) |
USD
View Fees Breakdown
Flexi Video | 16,449 |
Official E-coursebook | |
Exam Voucher (optional) | |
Hands-On-Labs2 | 4,159 |
+ GST 18% | 4,259 |
Total Fees (without exam & Labs) |
22,359 (INR) |
Total Fees (with exam & Labs) |
28,359 (INR) |
♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
To successfully undertake the Text Analysis with Python (NLP) course offered by Koenig Solutions, the following minimum prerequisites are recommended:
No advanced knowledge of linguistics, machine learning, or deep learning is required to start this course, as foundational concepts will be covered within the training. However, a keen interest in text analysis and processing will greatly enhance the learning experience.
Koenig Solutions' TEXT Analysis with Python (NLP) course is designed for professionals seeking to leverage natural language processing using Python.
Target Audience for the Course:
This course equips students with the tools and techniques for advanced text analysis using Python, covering everything from natural language basics to sentiment analysis.