Course Outline
Introduction to Data Science/AI
- Acquiring knowledge through data
- Representing knowledge
- Creating value
- Overview of Data Science
- The AI ecosystem and modern approaches to analytics
- Core technologies
Data Science workflow
- CRISP-DM
- Preparing data
- Planning models
- Building models
- Communication
- Deployment
Data Science technologies
- Languages for prototyping
- Big Data technologies
- Comprehensive solutions to common challenges
- Overview of the Python language
- Integrating Python with Spark
AI in Business
- The AI ecosystem
- Ethical considerations in AI
- Implementing AI within business operations
Data sources
- Data types
- SQL compared to NoSQL
- Data Storage
- Data preparation
Data Analysis – Statistical approach
- Probability
- Statistics
- Statistical modeling
- Applying Python to business scenarios
Machine learning in business
- Supervised versus unsupervised learning
- Forecasting challenges
- Classification challenges
- Clustering challenges
- Anomaly detection
- Recommendation engines
- Mining association patterns
- Addressing ML problems using Python
Deep learning
- Challenges where conventional ML algorithms fall short
- Addressing complex problems with Deep Learning
- Overview of TensorFlow
Natural Language processing
Data visualization
- Presenting visual outcomes from modeling
- Frequent errors in visualization
- Creating visualizations with Python
From Data to Decision – communication
- Cutting 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
