Course Outline
Introduction to Data Science/AI
- Gaining insights through data
- Representing knowledge structures
- Generating business value
- Overview of Data Science
- AI ecosystem and modern analytics approaches
- Essential technologies
Data Science workflow
- CRISP-DM framework
- Preparing data
- Planning models
- Constructing models
- Communicating findings
- Deployment strategies
Data Science technologies
- Prototyping languages
- Big Data technologies
- End-to-end solutions for common challenges
- Getting started with Python
- Integrating Python with Spark
AI in Business
- Understanding the AI landscape
- Ethical considerations in AI
- Strategies for driving AI adoption in business
Data sources
- Categorizing data types
- Comparing SQL and NoSQL
- Data storage solutions
- Preprocessing data
Data Analysis – Statistical approach
- Probability concepts
- Statistical principles
- Building statistical models
- Applying statistics in business using Python
Machine learning in business
- Supervised versus unsupervised learning
- Forecasting challenges
- Classification tasks
- Clustering tasks
- Identifying anomalies
- Building recommendation systems
- Mining association patterns
- Implementing ML solutions with Python
Deep learning
- Scenarios where traditional ML falls short
- Addressing complex issues with Deep Learning
- Introduction to TensorFlow
Natural Language processing
Data visualization
- Presenting modeling results visually
- Avoiding common visualization errors
- Creating visualizations using Python
From Data to Decision – communication
- Creating impact: data-driven storytelling
- Enhancing influence effectiveness
- Oversight of Data Science projects
Requirements
No prior specific requirements are necessary to participate 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
