Course Outline
Introduction to Data Science/AI
- Extracting knowledge from data
- Representing knowledge
- Generating value
- Overview of Data Science
- AI ecosystem and emerging analytical methods
- Core technologies
Data Science workflows
- Crisp-dm
- Data preprocessing
- Modeling strategy
- Model development
- Communication
- Implementation
Data Science tools
- Prototyping languages
- Big Data tools
- Complete solutions for typical issues
- Basics of the Python language
- Linking Python with Spark
AI in Business
- AI environment
- AI ethics
- Applying AI within business operations
Data sources
- Data categories
- SQL vs NoSQL
- Data retention
- Data preprocessing
Data Analysis – Statistical methods
- Probability
- Statistics
- Statistical modeling
- Python-based business applications
Machine learning in business
- Supervised vs unsupervised
- Prediction tasks
- Classification tasks
- Clustering tasks
- Detection of anomalies
- Recommender systems
- Pattern mining via association
- Addressing ML tasks with Python
Deep learning
- Issues where standard ML methods fall short
- Using Deep Learning to resolve complex issues
- Getting started with Tensorflow
Natural Language processing
Data visualization
- Presenting visual outcomes from models
- Common visualization issues
- Data visualization using Python
From Data to Decision – communication
- Creating impact: storytelling with data
- Effectiveness of influence
- Overseeing Data Science projects
Requirements
Participation in this course requires no specific prerequisites.
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
