Course Outline
Introduction to Data Science/AI
- Acquiring knowledge through data
- Methods of knowledge representation
- Creating value
- Overview of Data Science
- The AI ecosystem and modern approaches to analytics
- Essential technologies
Data Science workflow
- CRISP-DM framework
- Data preparation
- Model planning
- Building models
- Communication
- Deployment
Data Science technologies
- Prototyping languages
- Big Data technologies
- End-to-end solutions for common issues
- Intro to the Python language
- Integrating Python with Spark
AI in Business
- Understanding the AI ecosystem
- Ethical considerations in AI
- Driving AI adoption in business
Data sources
- Categories of data
- SQL versus NoSQL
- Data Storage
- Data preparation
Data Analysis – Statistical approach
- Probability
- Statistics
- Statistical modeling
- Business applications using Python
Machine learning in business
- Supervised versus unsupervised learning
- Forecasting challenges
- Classification problems
- Clustering problems
- Anomaly detection
- Recommendation engines
- Association pattern mining
- Solving ML challenges with Python
Deep learning
- Addressing limitations of traditional ML algorithms
- Tackling complex problems with Deep Learning
- Intro to Tensorflow
Natural Language processing
Data visualization
- Presenting modeling outcomes visually
- Avoiding common visualization errors
- Creating visualizations with Python
From Data to Decision – communication
- Creating impact: data-driven storytelling
- Enhancing influence effectiveness
- Managing Data Science projects
Requirements
This course does not have any specific prerequisites or prior requirements for enrollment.
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
