Course Outline
Introduction to Data Science/AI
- Acquiring knowledge from data
- Methods for representing knowledge
- Creating value from data
- Overview of Data Science
- The AI ecosystem and emerging approaches to analytics
- Core technologies
The Data Science Workflow
- CRISP-DM methodology
- Data preparation
- Model planning
- Model building
- Communication of results
- Deployment
Data Science Technologies
- Programming languages for prototyping
- Big Data technologies
- End-to-end solutions for common challenges
- Introduction to Python
- Integrating Python with Spark
Artificial Intelligence in Business
- The AI ecosystem
- Ethical considerations in AI
- Strategies for driving AI adoption in business
Data Sources
- Types of data
- SQL versus NoSQL
- Data storage mechanisms
- Data preparation techniques
Statistical Approaches to Data Analysis
- Probability theory
- Statistics
- Statistical modeling
- Business applications using Python
Machine Learning in Business Contexts
- Supervised versus unsupervised learning
- Solving forecasting problems
- Addressing classification problems
- Approaches to clustering problems
- Anomaly detection
- Recommendation engines
- Mining association patterns
- Implementing ML solutions with Python
Deep Learning
- Scenarios where traditional ML algorithms are insufficient
- Tackling complex problems via Deep Learning
- Introduction to TensorFlow
Natural Language Processing
Data Visualization
- Creating visual reports from modeling outcomes
- Common pitfalls in data visualization
- Visualizing data with Python
From Data to Decision – Communication Strategies
- Making an impact: storytelling with data
- Enhancing influence effectiveness
- Managing Data Science projects
Requirements
None
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
