Course Outline
Introduction to Data Science and AI
- Acquiring knowledge through data
- Representing knowledge
- Creating value
- Overview of Data Science
- The AI ecosystem and emerging analytics approaches
- Core technologies
Data Science Workflow
- CRISP-DM methodology
- Data preparation
- Model planning
- Model development
- Communication strategies
- Deployment processes
Data Science Technologies
- Languages utilized for prototyping
- Big Data technologies
- Comprehensive solutions for common challenges
- Introduction to the Python language
- Integrating Python with Spark
AI in Business Contexts
- The AI ecosystem
- Ethical considerations in AI
- Strategies for driving AI adoption in business
Data Sources
- Types of data
- SQL versus NoSQL
- Data storage options
- Data preparation techniques
Data Analysis: A Statistical Approach
- Probability theory
- Statistics
- Statistical modeling
- Business applications using Python
Machine Learning in Business
- Supervised versus unsupervised learning
- Forecasting challenges
- Classification problems
- Clustering challenges
- Anomaly detection
- Recommendation engines
- Association pattern mining
- Solving ML problems with Python
Deep Learning
- Scenarios where traditional ML algorithms fall short
- Addressing complex problems with Deep Learning
- Introduction to TensorFlow
Natural Language Processing
Data Visualization
- Visual reporting of modeling outcomes
- Common pitfalls in visualization
- Data visualization with Python
From Data to Decision: Communication
- Creating impact through data-driven storytelling
- Enhancing influence effectiveness
- Managing 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
