Description

Course Description:

The Text Processing with Python Course is designed to equip learners with the skills to efficiently manipulate, analyze, and extract meaningful insights from text data. With the exponential growth of digital content, the ability to handle textual information has become a critical skill in data analysis, natural language processing (NLP), and automation. This course covers the fundamentals of Python for text processing, including string operations, regular expressions, and file handling. Learners will also explore advanced techniques such as tokenization, text normalization, sentiment analysis, and working with NLP libraries like NLTK and spaCy. Through practical exercises, real-world projects, and hands-on coding sessions, participants will gain the expertise needed to transform unstructured text into actionable information, making them valuable contributors to data-driven decision-making processes.

Key Features of Course Divine:

• Collaboration with E‑Cell IIT Tirupati
• 1:1 Online Mentorship Platform
• Credit-Based Certification
• Live Classes Led by Industry Experts
• Live, Real-World Projects
• 100% Placement Support
• Potential Interview Training
• Resume-Building Activities

Career Opportunities After Text Processing with Python Certified Course:

• Data Analyst
• Natural Language Processing (NLP) Engineer .
• Data Scientist
• Text Mining Specialist
• AI/ML Developer
• Business Intelligence Analyst
• Content Analyst

Essential Skills you will Develop Text Processing with Python Certified Course:

• Python Programming for Text
• String Handling & Regular Expressions
• Text Preprocessing & Normalization
• Natural Language Processing (NLP) Techniques
• File Handling & Data Extraction
• Text Analytics & Visualization
• Working with NLP Libraries
• Building Text-based Applications
• Data Cleaning & Preprocessing
• Project Implementation Skills

Tools Covered:

• Python
• Jupyter Notebook
• NLTK (Natural Language Toolkit)
• spaCy
• TextBlob
• Pandas NumPy
• Matplotlib & Seaborn
• Regular Expressions (re module)
• BeautifulSoup & Requests

Syllabus:

Module 1: Introduction to Text Processing Overview of text processing and its importance Understanding structured vs unstructured data Python basics refresher for text processing.

Module 2: Python String Handling String operations and methods String formatting and manipulation Working with multi-line strings

Module 3: Regular Expressions (Regex) Basics of regex syntax Pattern matching and searching Practical applications in text cleaning and extraction.

Module 4: File Handling & Text Extraction Reading and writing text files Extracting text from CSV, PDFs, and other formats Web scraping basics for text data.

Module 5: Text Preprocessing & Normalization Tokenization, stemming, and lemmatization Stop-word removal and lowercasing Handling punctuation, numbers, and special characters.

Module 6: Introduction to NLP with Python Overview of Natural Language Processing Using NLTK and TextBlob for text analysis Part-of-speech tagging and named entity recognition.

Module 7: Advanced NLP with spaCy Dependency parsing and syntactic analysis Text classification and entity recognition Building reusable NLP pipelines.

Module 8: Sentiment Analysis & Text Analytics Sentiment scoring and polarity analysis Word frequency, n-grams, and TF-IDF Visualizing text data with Python libraries.

Module 9: Building Text-based Applications Chatbots and automated responses Text summarizers and recommendation engines Integration with real-world projects.

Module 10: Capstone Project & Industry Applications End-to-end text processing project Best practices for handling large-scale text data Applications in social media, finance, healthcare, and e-commerce.

Industry Projects:

• Sentiment Analysis of Social Media Posts
• News Article Classification
• Resume Parsing System
• Chatbot for Customer Support
• Product Review Summarizer
• Email Spam Detection

Who is this program for?

• Aspiring Data Scientists
• Python Developers
• Machine Learning Enthusiasts
• Business Analysts
• Content Analysts & Marketers
• Students & Researchers
• Anyone Interested in Text Analytics

How To Apply:

Mobile: 9100348679

Email: coursedivine@gmail.com