Course Outline
Introduction to Data Science and AI
- Gaining insights through data
- Methods of knowledge representation
- Creating business value
- Overview of Data Science
- The AI ecosystem and modern analytics approaches
- Essential technologies
Data Science Process
- CRISP-DM methodology
- Data preparation
- Planning the model
- Building the model
- Communication of results
- Deployment strategies
Data Science Technologies
- Languages for prototyping
- Big Data technologies
- End-to-end solutions for common challenges
- Introduction to the Python programming language
- Integrating Python with Spark
AI in Business
- The AI ecosystem
- Ethical considerations in AI
- Implementing AI strategies in business
Data Sources
- Different data types
- Comparison of SQL and NoSQL
- Data storage solutions
- Preparing data for analysis
Data Analysis – Statistical Methods
- Probability concepts
- Statistical principles
- Statistical modelling
- Business applications using Python
Machine Learning in Business
- Distinguishing supervised and unsupervised learning
- Addressing forecasting challenges
- Tackling classification problems
- Addressing clustering problems
- Detecting anomalies
- Building recommendation engines
- Mining association patterns
- Solving machine learning problems with Python
Deep Learning
- Limitations of traditional machine learning algorithms
- Resolving complex problems with Deep Learning
- Introduction to TensorFlow
Natural Language Processing
Data Visualisation
- Presentation of modelling results through visual reports
- Common errors in data visualisation
- Data visualisation techniques in Python
From Data to Decision – Communication
- Creating impact through data-driven storytelling
- Enhancing the effectiveness of influence
- Oversight of Data Science projects
Requirements
No specific prerequisites are required for participation in this course.
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 6500 € + VAT*
Contact us for an exact quote and to hear our latest promotions
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
