--- title: Text Mining & NLP Certification | Amity Online Course description: Learn Text Mining and NLP with Amity Online. Master sentiment analysis, machine learning techniques, and AI-driven text processing to enhance data insights. --- # Certificate in Text Mining and NLP Post successful completion, apply for paid internship In Collaboration With Take your career to the next level with a Certificate in Text Mining and NLP, a meticulously designed program that combines foundational knowledge with advanced applications. Crafted by industry experts, it equips you with the skills and tools to master Python programming, Natural Language Processing (NLP), machine learning, and deep learning techniques. Whether you’re a data science enthusiast, AI aspirant, or professional looking to upskill, this program offers hands-on projects, real-world applications, and industry-recognized certification to ensure you stand out in the competitive field of data analytics and AI. **Comprehensive Learning:** Covers Python, NLP, machine learning, and deep learning. **Industry-Relevant Skills:** Practical projects and hands-on experience with real-world datasets. **Expert Guidance:** Learn from KPMG professionals with extensive industry expertise. **Recognized Certification:** Enhance your resume with a certificate from KPMG. **Internship Opportunities:** Apply for a paid internship after you complete the program. **Flexible Learning:** Learn anytime, anywhere with our expert-led recorded lectures. \*Paid internship will be as per organization's norms or on a first-come, first-serve basis. Hurry! First batch intake closes on 30 Aug 2026 — only 5 internship spots left! ## Skills you'll gain ### Python Programming Writing and executing Python scripts for data tasks. ### Text Preprocessing Tokenization, stemming, lemmatization, and stop-word removal. ### NLP Techniques Bag-of-words, n-grams, and TF-IDF applications. ### Machine Learning for Text Building classification models with EDA and feature extraction. ### Sentiment Analysis Performing sentiment analysis and topic modelling on text data. ### Web Scraping Extracting and automating data scraping from websites and social media. ### Deep Learning Models Using RNNs and LSTMs for text analysis. ### Industry-relevant Skills Real-world professional experience through an internship\*. ## Tools and Platforms covered ### 1\. Basics of Python using Jupyter Notebook Build a solid foundation in Python programming and explore the basics of Jupyter Notebook. Learn how to install and configure Anaconda, write and run Python scripts, and work with essential data types to prepare for advanced text analysis and data processing tasks. 1. Introduction to Jupyter Notebook 2. Installing and exploring Anaconda and Jupyter Notebook 3. Writing and Running Python Scripts with various basic datatypes ### 2\. Foundations of Natural Language Processing (NLP) ### 3\. Advanced NLP Techniques and Applications             ### 4\. Machine Learning for Text Data: Techniques and Applications ### 5\. Semantics and Sentiment Analysis ### 6\. Web Scraping and Topic Modelling ### 7\. Deep Learning in NLP ## Earn and Share Your Certificate ## Meet our top-ranked faculty ### Jagadish GS Analyst, Advisory KPMG India ## Amity Online Advantages: Why We're the Right Fit for You ### Learn from Analytics Experts and Industry Veterans Learn from experienced faculty and industry professionals who specialize in data analytics and ML. Our experts help you build dynamic skills and knowledge that meet industry standards. ### Real-World Case Studies and Data-Driven Projects Gain hands-on experience in NLP, machine learning, and deep learning techniques. This practical approach prepares you to make data-driven decisions in any business setting. ### Flexible Learning for Busy Professionals Study at your own pace with a flexible curriculum designed to fit around your schedule, making it ideal for working professionals looking to upskill. ### Certification with Industry Recognition Receive a certification in Text Mining and NLP from Amity University Online, respected by employers across multiple sectors. - Total Modules: 7 Gain insight into a topic and learn the fundamentals. - Duration 32 hours - Level: Beginner No prior experience required - Internship Be eligible for internship (paid/unpaid) - Fee: ₹~~40,000~~ ₹25,000 ## Program Overview and Structure ### 1\. Basics of Python using Jupyter Notebook Build a solid foundation in Python programming and explore the basics of Jupyter Notebook. Learn how to install and configure Anaconda, write and run Python scripts, and work with essential data types to prepare for advanced text analysis and data processing tasks. 1. Introduction to Jupyter Notebook 2. Installing and exploring Anaconda and Jupyter Notebook 3. Writing and Running Python Scripts with various basic datatypes ### 2\. Foundations of Natural Language Processing (NLP) Gain an in-depth understanding of NLP fundamentals, including text preprocessing, tokenization, and n-gram analysis. Master Python tools like spaCy and NLTK to implement bag-of-words and other key NLP techniques. Build a strong base to tackle advanced NLP challenges. 1. Understanding NLP: An Overview 2. What is NLP 3. Python Text Processing Essentials 4. Getting Started with spaCy and NLTK 5. Tokenization 6. Bag of Words 7. N-gram Analysis 8. Bigram and Trigram Analysis 9. MCQ ### 3\. Advanced NLP Techniques and Applications Explore advanced NLP techniques like stemming, lemmatization, and removing stop words. Learn how to extract meaningful insights from text using Named Entity Recognition (NER), sentence segmentation, part-of-speech tagging, and TF-IDF. Visualize and analyze text data effectively. 1. Stemming 2. Lemmatization 3. Stop Words 4. NER 5. Visualization of NER 6. Sentence Segmentation 7. POS Tagging 8. TF-IDF 9. MCQ ### 4\. Machine Learning for Text Data: Techniques and Applications Understand machine learning concepts for text data, including classification techniques and confusion matrices. Perform exploratory data analysis (EDA), visualize text data, and extract features to build and evaluate classification models, preparing for real-world machine learning challenges. 1. ML Overview 2. Classification Matrix 3. Confusion Matrix 4. Data Visualization and Exploratory Data Analysis (EDA) of Text Data 5. Text Feature Extraction 6. Text Classification 7. ML Model Building Use Cases 8. MCQ ### 5\. Semantics and Sentiment Analysis Dive into the concepts of semantics and sentiment analysis, gaining expertise in analyzing emotional tones and extracting topics from text. Apply what you have learned through sentiment analysis projects and topic modelling, equipping yourself to handle practical use cases in text analytics. 1. Semantics and Sentiment Analysis Overview 2. Sentiment Analysis Project 3. Topic Modelling 4. Use Cases 5. MCQ ### 6\. Web Scraping and Topic Modelling Master web scraping techniques to collect and analyze data from websites and social media. Automate web scraping tasks and apply topic modelling to uncover hidden patterns and insights from the collected data, enabling data-driven decision-making. 1. Introduction to Web Scraping 2. Automation of Web Scraping 3. Scraping data from Social Media sites ### 7\. Deep Learning in NLP Discover the power of deep learning in NLP by learning to implement Recurrent Neural Networks (RNN) and Long Short-Term Memory (LSTM) models. Develop the skills to handle complex text data and build advanced NLP models for cutting-edge applications. 1. Deep learning for NLP using RNN 2. Long Short-Term Memory (LSTM) 3. MCQ ## Frequently Asked Questions ### What makes these certifications unique? These certifications are unique because they combine foundational concepts with practical applications in text mining and NLP, equipping you with industry-relevant skills through hands-on projects and real-world case studies. ### Who is this program for? This program is for professionals and students interested in extracting insights from text data, and those aiming to build careers in data science, artificial intelligence, machine learning, or related fields involving Natural Language Processing (NLP). ### What are the prerequisites for enrollment? There are no strict prerequisites for enrollment, but a basic understanding of Python programming and an interest in data analysis or natural language processing will be helpful. ### What tools and technologies will I learn? You will learn tools and technologies like Python, Natural Language Processing (NLP) libraries (such as NLTK and spaCy), and text mining techniques to process and analyze large volumes of textual data. ### How is the program structured? The program is structured to provide a comprehensive understanding of text mining and natural language processing (NLP) through interactive video lectures, practical projects, and real-world case studies, ensuring hands-on skill development. ### Will I receive a certificate upon completion? Yes, students will receive a certification upon successfully completing the program. ### How can I apply what I learn to my career? You can apply what you learn by using text mining and NLP techniques to extract insights from unstructured data, automate text analysis, and enhance decision-making, opening up opportunities in data science, AI, and business analytics roles. ### Does this program offer a paid internship? Yes! Students who successfully complete the program may become eligible for a paid internship with KPMG or its associates, depending on selection criteria. ### What roles are available in the paid internship? Interns work in consulting, analytics, product development, and business intelligence, handling dashboard development, data analysis, and strategic problem-solving. ### How much is the stipend? The average internship stipend is ₹8,000 per month. ### Where are the paid internships conducted? Paid internships are conducted in-person at KPMG India offices in cities such as: Gurugram, Noida, Bangalore, Mumbai, Pune, Chennai, Kochi, Kolkata, Chandigarh, and Ahmedabad. ### When do paid internships start? Paid internships are offered quarterly, with the selection process taking place in the last week of each quarter. ### Can I reapply if I don’t get selected? Yes, students can reapply twice, but only in alternate quarters. If a student declines a paid internship after selection, they will not be eligible to reapply. ### How do I enroll and what are the payment options? You can enroll by visiting our website and following the enrollment instructions. We offer various payment options, including credit/debit cards, online banking, and installment plans. ### Can I access course materials after completion? Yes, students will have continued access to learning materials even after completing the course.