Course Outline
Introduction to Data Science and AI
- Acquiring knowledge through data
- Representing knowledge
- Creating value
- Overview of Data Science
- The AI ecosystem and innovative analytics approaches
- Key enabling technologies
The Data Science Workflow
- CRISP-DM framework
- Data preparation
- Planning models
- Building models
- Communicating results
- Deployment
Technologies for Data Science
- Languages used for prototyping
- Big Data technologies
- End-to-end solutions for common challenges
- Introduction to the Python language
- Integrating Python with Spark
AI in Business Contexts
- The AI ecosystem
- Ethics of 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 concepts
- Statistical methods
- Statistical modeling
- Business applications using Python
Machine Learning in Business
- Supervised versus unsupervised learning
- Forecasting problems
- Classification problems
- Clustering problems
- Anomaly detection
- Recommendation engines
- Association pattern mining
- Solving ML problems with Python
Deep Learning
- Scenarios where traditional ML algorithms fail
- Addressing complex problems with Deep Learning
- Introduction to TensorFlow
Natural Language Processing
Data Visualization
- Visual reporting of modeling outcomes
- Common pitfalls in visualization
- Performing data visualization with Python
From Data to Decision: Communication Strategies
- Creating impact: data-driven storytelling
- 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
