Course Outline
Foundations of Data Science and AI
- Acquiring knowledge through data
- Methods of knowledge representation
- Generating value
- Overview of Data Science
- The AI landscape and modern approaches to analytics
- Essential technologies
The Data Science Process
- CRISP-DM framework
- Preparing data
- Planning models
- Constructing models
- Communicating insights
- Implementing solutions
Technologies in Data Science
- Languages for prototyping
- Big Data technologies
- Comprehensive solutions for common challenges
- Getting started with the Python language
- Connecting Python with Spark
AI in the Business Sector
- The AI ecosystem
- Ethical considerations in AI
- Strategies for integrating AI into business
Data Sources
- Categorization of data types
- Comparing SQL and NoSQL
- Data storage solutions
- Data preparation techniques
Data Analysis via Statistical Methods
- Probability
- Statistics
- Statistical modeling
- Business applications using Python
Machine Learning in Business
- Supervised vs. unsupervised learning
- Predictive challenges
- Classification tasks
- Clustering tasks
- Identifying anomalies
- Recommendation systems
- Mining association patterns
- Addressing ML challenges with Python
Deep Learning
- Scenarios where traditional ML algorithms fall short
- Tackling complex issues with Deep Learning
- Introduction to TensorFlow
Natural Language Processing
Data Visualization
- Presenting visual reports from models
- Avoiding common visualization errors
- Visualizing data with Python
From Data to Decisions: Communication
- Creating impact through data storytelling
- Ensuring effective influence
- Overseeing Data Science projects
Requirements
Participation in this course requires no prior specific prerequisites.
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
