Course Outline
Introduction to Data Science/AI
- Gaining knowledge from data
- Representing knowledge
- Creating value
- Overview of Data Science
- The AI landscape and modern analytics approaches
- Essential technologies
Data Science Process
- Crisp-dm methodology
- Data preparation
- Modeling strategy
- Building models
- Communication of results
- Deployment
Data Science Tools
- Prototyping languages
- Big Data frameworks
- Comprehensive solutions for common challenges
- Basics of the Python language
- Connecting Python with Spark
AI in Corporate Environments
- The AI ecosystem
- AI ethics
- Strategies for implementing AI in business
Data Origins
- Data categories
- SQL versus NoSQL
- Data storage mechanisms
- Data preprocessing
Data Analysis – Statistical Methods
- Probability theory
- Statistical concepts
- Statistical modeling techniques
- Business applications using Python
Machine Learning in Business
- Supervised versus unsupervised learning
- Forecasting tasks
- Classification challenges
- Clustering techniques
- Anomaly detection
- Recommendation systems
- Mining association patterns
- Addressing ML issues with Python
Deep Learning
- Limits of traditional ML algorithms
- Tackling complex issues with Deep Learning
- Getting started with Tensorflow
Natural Language Processing
Data Visualization
- Visualizing modeling outcomes
- Avoiding common visualization errors
- Creating visualizations with Python
From Data to Decisions – Communication
- Generating impact: Data-driven storytelling
- Enhancing influence effectiveness
- Overseeing Data Science projects
Requirements
No prior experience or specific prerequisites are required to participate in this course.
Select an available course date
- Format Online
- Language Polish
- Course Public course
- Start Date 2026-11-03
- Duration 5 days (35 hours)
Net price per participant
Testimonials (7)
Hands-on exercises related to content really helps to understand more about each topic. Also, style of start class with lecture and continue with hands-on exercise is good and helpful to relate with the lecture that presented earlier.
Nazeera Mohamad - Ministry of Science, Technology and Innovation
Course - Introduction to Data Science and AI using Python
Trainer expertise and ability to engage students
Nikita - EY GLOBAL SERVICES (POLAND) SP Z O O
Course - Introduction to Data Science and AI using Python
Ania has great knowledge and knows how to explain even complex topics.
Kasia - EY GLOBAL SERVICES (POLAND) SP Z O O
Course - Introduction to Data Science and AI using Python
The course is very interesting being the main focus nowdays
mohamed taher - FAB banak Egypt
Course - Introduction to Data Science and AI (using Python)
Ahmed was very interactive and didn’t mind answering any kind of questions Well presentation and smooth flow of the course
Mohamed Ghowaiba - FAB banak Egypt
Course - Introduction to Data Science and AI (using Python)
Helpful and good listener .. interactive
Ahmed El Kholy - FAB banak Egypt
Course - Introduction to Data Science and AI (using Python)
Subject presentation knowledge timing
