Course Outline
Foundations of Data Science and AI
- Acquiring knowledge via data
- Representing knowledge
- Generating value
- Overview of Data Science
- The AI landscape and modern analytics
- Essential technologies
Data Science Process
- CRISP-DM methodology
- Data preparation
- Planning models
- Building models
- Communicating results
- Deployment
Core Technologies for Data Science
- Languages for prototyping
- Big Data technologies
- End-to-end solutions for common challenges
- Introduction to Python
- Integration of Python with Spark
AI in Business
- Understanding the AI ecosystem
- Ethical considerations in AI
- Strategies for driving AI adoption in business
Data Sources
- Categories of data
- SQL vs. NoSQL
- Data storage mechanisms
- Data preparation techniques
Data Analysis – Statistical Methods
- Probability
- Statistics
- Statistical modeling
- Business applications using Python
Machine Learning in Business
- Supervised vs. unsupervised learning
- Forecasting tasks
- Classification tasks
- Clustering tasks
- Anomaly detection
- Recommendation systems
- Association pattern mining
- Addressing ML challenges with Python
Deep Learning
- Limitations of traditional ML algorithms
- Resolving complex issues with Deep Learning
- Introduction 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 through data-driven storytelling
- Enhancing influence effectiveness
- Managing Data Science projects
Requirements
No specific prerequisites are required to enroll in this course.
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
