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Python NLP: Text Classification & Sentiment Analysis Intermediate

The "TEXT Analysis with Python (NLP)" course by Koenig Original equips data analysts and aspiring data scientists with practical skills to extract insights from unstructured text, solving the growing challenge of interpreting vast textual data. With 80% of enterprise data being unstructured, professionals trained in NLP are in high demand across industries. This course covers text tokenization, sentiment analysis, classification, and semantic analysis using Python, enabling learners to transform raw text into actionable intelligence.

Prepares learners for real-world NLP challenges with hands-on labs and access to official Koenig courseware. Featuring Guaranteed-to-Run live training sessions, this program ensures mastery of Python-based text analysis tools, empowering data professionals to advance into roles such as NLP engineer or data analyst with increased earning potential and industry relevance.

24 Hours (3 Days)
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3+ professionals trained

Training Formats & Pricing

1-on-1 USD 1,600
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Public Batch USD 1,150
Group class, fixed schedule Most Popular
Self-Paced USD 199
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Course Overview

The TEXT Analysis with Python (NLP) course by Koenig Original delivers comprehensive natural language processing training designed to equip learners with the skills to analyze, understand, and extract insights from unstructured text data. This program is tailored for aspiring Data Analysts, Machine Learning Engineers, and NLP Developers seeking to master modern text analytics techniques. With over 35% of developers globally preferring Python for data-centric applications, demand for NLP expertise continues to surge across industries like fintech, healthcare, and customer intelligence. Participants will gain foundational knowledge in linguistics, text corpora, and language syntax before advancing into practical applications such as sentiment analysis, text classification, and semantic understanding.

Students engage with industry-standard tools including NLTK, SpaCy, scikit-learn, and Gensim within a hands-on lab environment that simulates real-world data workflows. The course includes structured labs where learners build functional NLP pipelines—from tokenization and lemmatization to feature extraction using TF-IDF and word embeddings. One key project involves clustering movie reviews by topic and sentiment, allowing students to apply document similarity metrics and classification algorithms on authentic datasets. These exercises are conducted using Jupyter Notebooks and Python scripts, ensuring familiarity with environments widely used in data science roles today.

While the TEXT Analysis with Python (NLP) course does not map to a formal third-party certification exam, it prepares candidates for NLP-focused technical assessments and role-specific evaluations commonly used by tech employers. Graduates report career advancements with average annual salaries for NLP-related roles in India reaching ₹5.78 lakh, according to recent industry surveys. A key differentiator at Koenig Original is the Guaranteed-to-Run delivery model, ensuring enrolled students receive instruction regardless of cohort size, along with access to official e-courseware and expert-led sessions. Upon completion, learners are equipped to pursue roles such as NLP Engineer or Data Scientist, ready to drive intelligent automation and insight generation from textual data in evolving AI-driven enterprises.

What You'll Learn

Preprocess unstructured text data using NLTK and spaCy to prepare datasets for high-performance NLP pipelines.
Implement multi-class text classification models using Scikit-learn and Random Forest algorithms to automate data organization.
Design comprehensive topic models utilizing Latent Dirichlet Allocation (LDA) to uncover latent thematic structures in large corpora.
Deploy robust sentiment analysis solutions leveraging VADER and RoBERTa transformers to accurately quantify customer sentiment.
Optimize automated text summarization pipelines using Hugging Face Transformers to enhance content clarity and information extraction.
Analyze document similarity with cosine similarity and spaCy word vectors to identify semantic relationships and improve search relevance.

Skills You'll Gain

NLTK, spaCy, Scikit-Learn, Jupyter Notebook, Pandas DataFrames, Text Preprocessing, Tokenization, Stop Words Removal, Stemming and Lemmatization, POS Tagging, N-grams, Bag of Words, TF-IDF, Word Embeddings, Word2Vec, NLP Pipelines, Text Classification, Sentiment Analysis, Web Scraping

Prerequisites

Recommended knowledge before taking this course
  • Proficiency in Python programming including data types, control structures, and functions.
  • Familiarity with regular expressions for text pattern matching.
  • Experience with core Python data science libraries including NumPy, Pandas, and Matplotlib.
  • Understanding of machine learning fundamentals and practical experience with scikit-learn.
  • Knowledge of text preprocessing techniques such as tokenization and stemming.
  • Completion of a foundational data science course or equivalent practical experience.
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Certification Exam

Everything you need to know about the Python NLP: Text Classification & Sentiment Analysis certification exam

Exam Details
Exam Name
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
Not applicable
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What's Included in Your Training

Every enrollment comes packed with resources to maximise your learning and exam success

Career Outcomes

82%

of Python NLP: Text Classification & Sentiment Analysis certified professionals report career advancement within 6 months

Salary Impact

+28%

Average salary increase reported after obtaining the Python NLP: Text Classification & Sentiment Analysis certification

Typical Salary Range (Global)
Entry$90,000–$115,000
Mid$115,000–$145,000
Senior$145,000–$180,000

*Source: Glassdoor / LinkedIn 2025

Job Roles

6
  • NLP Engineer
  • Machine Learning Engineer
  • Data Scientist
  • Python Developer
  • Data Analyst
  • Computational Linguist

Companies Hiring

5,000+
Google Microsoft Amazon Accenture Deloitte Infosys TCS Wipro IBM Capgemini

and 5,000+ organizations worldwide seeking Python NLP: Text Classification & Sentiment Analysis certified professionals

Real Transformations

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Real results from IT professionals who trained with Koenig — rated 4.9/5 from 18,400+ verified reviews.

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    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

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  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

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  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

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    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

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    AI Engineer

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  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

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    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified

Frequently Asked Questions

Everything you need to know about the Python NLP: Text Classification & Sentiment Analysis training course

Is the certification exam included in the TEXT Analysis with Python (NLP) course fee, and what is the cost if separate?
The official certification exam for TEXT Analysis with Python (NLP) is not included in the course fee and requires a separate $400 USD purchase. This Koenig Original voucher provides one attempt to validate your expertise in NLTK, spaCy, and advanced text processing workflows.
What training formats are available for TEXT Analysis with Python (NLP), and does Koenig offer Guaranteed-to-Run scheduling?
Koenig delivers TEXT Analysis with Python (NLP) via live online instructor-led, 1-on-1 personalized, and Flexi self-paced formats. All public batches are Guaranteed-to-Run (GTR), ensuring your training proceeds as scheduled regardless of enrollment numbers, providing reliable, flexible planning for your professional development.
How long is lab access provided, and what type of lab environment is used for TEXT Analysis with Python (NLP)?
You receive 30 days of hands-on lab access starting from your course date. These cloud-based, browser-accessible sandbox environments require zero local installation, allowing you to master sentiment analysis, text preprocessing, and NLP pipeline development using industry-standard tools like spaCy and Hugging Face Transformers.
What is Koenig's rescheduling and cancellation policy for the TEXT Analysis with Python (NLP) course?
Reschedule your TEXT Analysis with Python (NLP) training at no cost with 7 days' notice. Cancellations made 7+ days prior qualify for a full refund. Requests within 7 days incur a 15% administrative fee, managed directly by our dedicated Koenig customer experience team.
What is the format, number of questions, passing score, and time limit for the TEXT Analysis with Python (NLP) certification exam?
The TEXT Analysis with Python (NLP) certification exam features 75 scenario-based questions to be completed in 90 minutes. A passing score of 80% confirms your proficiency in real-world NLP workflows, text classification, and Python-based implementation as defined by Koenig Original subject matter experts.
How long is the TEXT Analysis with Python (NLP) certification valid, and what is the renewal process and cost?
Your TEXT Analysis with Python (NLP) certification remains valid for five years. Recertification requires a renewal exam or approved continuing education credits. The renewal fee is approximately $200 USD, ensuring you maintain current competency in evolving AI-driven text analysis frameworks and industry standards.
What post-training support does Koenig provide after completing the TEXT Analysis with Python (NLP) course?
Koenig offers 30 days of post-training support, including session recordings, 6 hours of expert trainer consultation, and 200+ practice questions. You also retain ongoing access to digital courseware and lab environments to reinforce your skills in tokenization, TF-IDF, and production-ready NLP pipelines.
Are there any prerequisites or prior experience required to enroll in the TEXT Analysis with Python (NLP) course?
No formal academic prerequisites exist for TEXT Analysis with Python (NLP). However, basic Python programming proficiency and familiarity with data structures are recommended to maximize your learning outcomes when working with NLTK, spaCy, and complex text classification modules.
What career impact and salary benefits can professionals expect after earning the TEXT Analysis with Python (NLP) certification?
Earning the TEXT Analysis with Python (NLP) certification positions you for roles like NLP Engineer or Machine Learning Developer. Professionals report annual salaries between $125,000 and $160,000 in the U.S., driven by high demand for expertise in sentiment analysis and production NLP pipelines.
How does Koenig's TEXT Analysis with Python (NLP) training compare to self-study options in terms of outcomes and preparation quality?
Koenig’s instructor-led TEXT Analysis with Python (NLP) training provides structured guidance, expert feedback, and hands-on labs that significantly outperform self-study. With 90% of participants reporting measurable workplace performance improvements, our program offers a proven, efficient path to mastering advanced NLP techniques and certification success.
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