Python Fundamentals for AI
Learn to use Python for data analysis,
from manipulation to visualization, including the
application of Machine Learning models!
CPF-eligible and multiple funding options up to 100%
Request a callback Access the program3P Approach
Our training center guides you in identifying the ideal course and helps you maximize funding opportunities.
We provide everything you need for a confident start.
Experience an immersive and intensive training journey designed to immerse you in hands-on workshops and real-world case studies.
Learn by doing, and develop practical skills directly applicable to your future projects.
At the end of your journey, we assess your acquired skills, issue a certification attesting to your expertise, and support you to ensure success in your professional projects.
You are now ready to excel!
Course Description
This course will enable you to acquire the basics of the Python language and apply them to AI and data analysis. You will learn to manipulate, clean, and visualize data using the most popular Python libraries.
Learning Objectives
By the end of this course, you will be able to:
- Master the basics of the Python language.
- Manipulate and clean data with Pandas and NumPy.
- Create data visualizations .
- Apply Python to practical projects in AI and real-world data analysis.
- Understand the basic principles of machine learning algorithms.
Who Is This Course For?
The course is open to everyone, especially:
- Beginner Developers
- Data analysts
- Data Scientists
- Data Consultants
Prerequisites
Basic knowledge of information systems.
Course Outline
Introduction to Python and Data Manipulation
- Introduction to the Python language and its environment (Jupyter, Anaconda)
- Python data structures: Lists, dictionaries, sets
- Python functions: creation and usage
- Introduction to Matplotlib: creating simple charts.
- Customizing charts with Seaborn: box plots, heatmaps, etc.
- Creating advanced visualizations with Seaborn.
- Analysis of real datasets (sales, weather, etc.).
- Introduction to statistical algorithms and Scikit-learn.
- Hands-on workshops: implementing simple machine learning models.
Course Benefits
- Training that is both theoretical and practical, with concrete workshops.
- Experienced instructors specialized in data analysis with Python.
- Access to interactive learning tools and live demonstrations.
Teaching Methods and Tools Used
- Interactive courses with live demonstrations.
- Real-world case studies to put acquired skills into practice.
- Use of tools such as Jupyter Notebook and Anaconda for a complete hands-on experience.
Assessment
Assessment is continuous throughout the course:
- Multiple-choice quizzes to verify understanding of the concepts covered.
- Practical exercises to apply the skills acquired.
Normative References
The course adheres to Python programming best practices according to PEP 8 (Python Enhancement Proposal), ensuring clear and efficient code.
Logistics
In-company
The duration and syllabus can be customized to your company’s specific needs
More details Contact usNext Generation Academy