Course Outline
Introduction to Data Science/AI
- Acquiring knowledge through data
- Knowledge representation
- Value creation
- Overview of Data Science
- AI ecosystem and a new approach to analytics
- Key technologies
Data Science workflow
- CRISP-DM
- Data preparation
- Model planning
- Model building
- Communication
- Deployment
Data Science technologies
- Languages used for prototyping
- Big Data technologies
- End-to-end solutions to common problems
- Introduction to Python language
- Integrating Python with Spark
AI in Business
- AI ecosystem
- Ethics of AI
- Strategies to drive AI in business
Data sources
- Types of data
- SQL vs NoSQL
- Data Storage
- Data preparation
Data Analysis – Statistical approach
- Probability
- Statistics
- Statistical modeling
- Business applications using Python
Machine learning in business
- Supervised vs unsupervised learning
- Forecasting problems
- Classification problems
- Clustering problems
- Anomaly detection
- Recommendation engines
- Association pattern mining
- Solving ML problems with Python language
Deep learning
- Challenges where traditional ML algorithms fail
- Solving complex problems with Deep Learning
- Introduction to TensorFlow
Natural Language processing
Data visualization
- Visual reporting outcomes from modeling
- Common pitfalls in visualization
- Data visualization with Python
From Data to Decision – communication
- Creating impact: data-driven storytelling
- Effectiveness of influence
- Managing Data Science projects
Requirements
There are no specific prerequisites required to attend 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 8000 € + 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
