Natural Language Processing with Python - Classroom
2.250,00 EUR
- 30 hours
This hands-on Natural Language Processing (NLP) course takes you from foundational concepts to advanced techniques, enabling you to work with unstructured text data and transform it into meaningful insights. You’ll learn how to build real-world applications such as chatbots, sentiment analysis tools, and text analytics solutions using Python and industry-standard libraries.
Key Features
Language
Course material in English
Level
Beginner - advanced structured curriculum
30+ hours of live instructor-led training
70+ hours recommended study time
25+ hours of hands-on Python practice
25 Hours of Practical Python Sessions
80+ hours of assessments and quizzes
3 real-world NLP projects
Work with real-world unstructured text data
Learn to build chatbots and sentiment analysis systems
Ask for date confirmation!
Program completion certification included
Learning Outcomes
At the end of this program, you will be able to:
Fundamentals of Text Processing
Begin your NLP journey by learning how to process and manipulate text data in Python using standard tools and libraries.
Lexical Processing
Develop the ability to extract meaningful features from unstructured text and apply machine learning techniques to analyze it.
Syntax and Semantics
Understand how to analyze sentence structure, perform sentiment analysis, and derive meaning from language.
Applications of Text Analytics
Discover how text analysis is used across various industries and explore real-world business applications.
Evaluating NLP Systems
Learn how to assess the performance of NLP models and determine whether they deliver accurate and effective results
Course timeline
Introduction to Data Science
Lesson 1
- What is Data Science
- Data analytics landscape
- Data science lifecycle
- Tools and technologies
Mastering Python
Lesson 2
- Python setup (Anaconda)
- Data types, strings, loops, control statements
- Regular expressions and data structures
- User-defined functions and lambda functions
- Object-oriented programming basics
- Importing datasets
- Data manipulation with Pandas
- Data visualization with Matplotlib, Seaborn, ggplot
Probability and Statistics
Lesson 3
- Data distribution and statistical concepts
- Conditional probability
- Hypothesis testing
Advanced Statistics
Lesson 4
- Analysis of Variance (ANOVA)
- Linear regression
- Model building techniques
- Dimensionality reduction
Predictive Modelling
Lesson 5
- Model evaluation metrics
- Classification techniques
- Performance optimization
Time Series Forecasting
Lesson 6
- Time series data and components
- Forecasting techniques
- Exponential smoothing
Capstone & Real-World Projects
Lesson 7
- Build ML models for real business problems
- Deploy solutions into production environments
- Portfolio-ready projects
Who Should Enroll in this Program?
Prerequisites
- Basic knowledge of Python programming
- Familiarity with data handling or data wrangling
- Understanding of mathematics or statistics fundamentals (recommended)
Data Scientists and aspiring data professionals
Data Analysts working with text data
AI/ML Engineers and practitioners
Software Developers and programmers
Researchers and NLP enthusiasts
Anyone interested in AI-driven language processing
Statements
Licensing and accreditation
The course is offered according to Partner Program Agreement and complies with the License Agreement requirements.
Equity Policy
Candidates are encouraged to reach out to AVC for guidance and support throughout the accommodation process.
Frequently Asked Question
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