Course Outline
Foundations of Data Science and AI
- Extracting insights from data
- Methods of knowledge representation
- Generating business value
- Overview of Data Science
- The AI landscape and modern analytics approaches
- Core technologies
Data Science Methodologies
- CRISP-DM framework
- Data preparation techniques
- Modeling strategy
- Constructing models
- Effective communication
- Implementation and deployment
Technologies in Data Science
- Languages for prototyping
- Big Data infrastructure
- Comprehensive solutions for common challenges
- Basics of the Python language
- Integrating Python with Spark
AI in the Business Environment
- The AI ecosystem
- Ethical considerations in AI
- Driving business growth with AI
Data Sources
- Various data types
- Comparing SQL and NoSQL
- Data storage solutions
- Data preparation processes
Statistical Approaches to Data Analysis
- Probability theory
- Statistical fundamentals
- Statistical modeling
- Business applications using Python
Machine Learning in Business
- Supervised vs. unsupervised learning
- Prediction tasks
- Classification challenges
- Clustering techniques
- Detecting anomalies
- Building recommendation systems
- Mining association patterns
- Resolving ML challenges with Python
Deep Learning
- Limitations of traditional ML algorithms
- Tackling complex issues with Deep Learning
- Getting started with Tensorflow
Natural Language Processing
Data Visualization
- Presenting modeling results visually
- Avoiding common visualization errors
- Creating visualizations with Python
Turning Data into Decisions – Communication
- Creating impact: data-driven storytelling
- Enhancing influence effectiveness
- Overseeing Data Science projects
Requirements
No prior specific requirements are necessary 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