Course Outline
Basics of Data Science and AI
- Acquiring insights from data
- Representing knowledge
- Generating value
- Overview of Data Science
- The AI landscape and modern analytics approaches
- Essential technologies
Data Science Processes
- CRISP-DM methodology
- Preparing data
- Planning models
- Constructing models
- Communicating results
- Implementation
Tools for Data Science
- Programming languages for prototyping
- Big Data infrastructure
- Comprehensive solutions for common challenges
- Getting started with Python
- Connecting Python with Spark
AI Applications in Business
- The AI ecosystem
- Ethical considerations in AI
- Strategies for adopting AI in business
Data Origins
- Categorizing data
- SQL compared to NoSQL
- Storing data
- Data processing
Data Analysis via Statistical Methods
- Probability
- Statistical concepts
- Building statistical models
- Business applications using Python
Machine Learning in Corporate Settings
- Supervised versus unsupervised learning
- Prediction challenges
- Classification tasks
- Clustering exercises
- Identifying anomalies
- Building recommendation systems
- Discovering association patterns
- Addressing ML tasks with Python
Deep Learning
- Limitations of traditional ML algorithms
- Handling complex issues with Deep Learning
- Getting to know TensorFlow
Processing Natural Language
Visualizing Data
- Presenting modeling results visually
- Avoiding common visualization errors
- Creating visualizations with Python
Turning Data into Decisions – Communication Skills
- Creating impact through data-driven narratives
- Improving influence effectiveness
- Oversight of Data Science initiatives
Requirements
No prior prerequisites are necessary to enroll in this training.
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
