COURSE OVERVIEW
This course introduces participants to Python programming with a focus on its application in artificial intelligence (AI)
and data science. Designed for beginners, the course covers essential Python syntax, data structures, and libraries
commonly used in AI and data analysis, such as NumPy, Pandas, and Matplotlib. Participants will learn how to write
basic scripts, manipulate data, visualize results, and prepare datasets for machine learning models. By the end of the
course, delegates will have the skills to start building simple data-driven applications and confidently use Python as a
key tool in AI and data science projects.

WHO SHOULD ATTEND?
This course is ideal for beginners, aspiring data scientists, AI enthusiasts, researchers, and professionals from non-
programming backgrounds who want to gain practical skills in Python for use in data analysis and AI projects. It is also suitable for analysts, business professionals, and anyone looking to transition into roles involving data-driven decision-
making or machine learning development. No prior programming experience is required.

COURSE OUTCOMES
Delegates will gain the knowledge and skills to:
• Comprehend the basics of Python programming, including syntax, variables, and data types.
• Work with core data structures such as lists, dictionaries, and tuples.
• Write and execute Python scripts for data manipulation and analysis.
• Use key Python libraries like NumPy, Pandas, and Matplotlib.
• Perform basic data cleaning, transformation, and visualization.
• Prepare datasets for use in machine learning and AI applications.
• Build a solid foundation for more advanced study in data science, machine learning, and artificial intelligence.

KEY COURSE HIGHLIGHTS
At the end of the course, you will understand;
• Python fundamentals including syntax, variables, loops, and functions.
• How to work with core data structures such as lists, dictionaries, and arrays.
• The use of Python libraries (NumPy, Pandas, Matplotlib) for data analysis and visualization.
• How to clean, preprocess, and prepare datasets for analysis or machine learning.
• How to apply Python in basic data exploration, interpretation, and mini-projects.
• Why Python is a key foundation for advanced AI and data science learning.

Course Booking

Please use the “book now” or “inquire” buttons on this page to either book your space or make further enquiries.