Course Outline
Intro to Data Science & AI
- Acquiring knowledge from data
- Representing knowledge
- Generating value
- Overview of Data Science
- The AI ecosystem and modern analytics approaches
- Essential technologies
Data Science Process
- CRISP-DM framework
- Preparing data
- Planning models
- Building models
- Communication strategies
- Deployment
Technologies in Data Science
- Languages for prototyping
- Big Data technologies
- End-to-end solutions for common issues
- Introduction to the Python language
- Integrating Python with Spark
Business AI
- The AI ecosystem
- Ethical considerations in AI
- Implementing AI in business settings
Data Sources
- Data types
- SQL vs. NoSQL
- Storage solutions
- Data preparation techniques
Data Analysis – Statistical Methods
- Probability theory
- Statistical principles
- Statistical modeling
- Business applications using Python
Business Machine Learning
- Supervised vs. unsupervised learning
- Forecasting tasks
- Classification challenges
- Clustering tasks
- Anomaly detection
- Recommendation systems
- Association rule mining
- Addressing ML problems with Python
Deep Learning
- Limitations of traditional ML algorithms
- Complex problem solving with Deep Learning
- Introduction to TensorFlow
Natural Language Processing
Data Visualization
- Presenting modeling results visually
- Avoiding common visualization errors
- Visualization techniques in Python
From Data to Decision – Communication
- Creating impact: Data-driven storytelling
- Enhancing influence
- Overseeing Data Science projects
Requirements
No prior experience or specific prerequisites are required 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
