Course Outline
Introduction to Data Science/AI
- Acquiring knowledge through data
- Representation of knowledge
- Creating value
- Overview of Data Science
- The AI ecosystem and a new perspective on analytics
- Essential technologies
Data Science workflow
- CRISP-DM methodology
- Data preparation
- Model planning
- Building models
- Communication strategies
- Deployment
Data Science technologies
- Languages utilized for prototyping
- Big Data technologies
- End-to-end solutions for common issues
- Introduction to the Python language
- Integration of Python with Spark
AI in Business
- The AI ecosystem
- Ethical considerations in AI
- Driving AI adoption in business
Data sources
- Categories of data
- SQL versus NoSQL
- Data Storage
- Data preparation
Data Analysis – Statistical approach
- Probability
- Statistics
- Statistical modeling
- Business applications using Python
Machine learning in business
- Supervised versus unsupervised learning
- Forecasting challenges
- Classification challenges
- Clustering challenges
- Anomaly detection
- Recommendation engines
- Mining association patterns
- Addressing ML problems with the Python language
Deep learning
- Scenarios where traditional ML algorithms fall short
- Tackling complex problems with Deep Learning
- Introduction to TensorFlow
Natural Language processing
Data visualization
- Visualizing reporting outcomes from models
- Common pitfalls in visualization
- Data visualization with Python
From Data to Decision – communication
- Creating impact: Data-driven storytelling
- Effectiveness of influence
- Managing Data Science projects
Requirements
There are no specific prerequisites required to enroll 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
