Python Applications in Data Science and AI
Use Python to prepare, analyse and visualise data, and to build machine learning and AI prototypes on real-world data.
Delivered in English at a 4/5 star hotel in Kuwait. Dates are arranged on request throughout 2026-2027.
Learning Outcomes
- Write Python code for data tasks in notebooks.
- Load, clean and transform data with NumPy and pandas.
- Visualise data and communicate findings with Matplotlib and Seaborn.
- Train and evaluate machine learning models with scikit-learn.
- Build a simple AI prototype and understand its limits.
Course Outline
- Python essentials for data work: syntax, data structures, functions and Jupyter notebooks.
- Data handling with NumPy and pandas: importing, cleaning, merging and aggregating.
- Exploratory analysis and visualisation.
- Machine learning with scikit-learn: regression, classification, clustering and model evaluation.
- AI applications: an introduction to neural networks, text and generative AI APIs.
- Capstone: an end-to-end project on a real-world dataset.
Location
Courses may be conducted at one of the following hotels in Kuwait:
- Hilton Garden Inn Kuwait – The Avenues
- Hilton Kuwait Resort – Mangaf
- Jumeirah Messilah Beach Hotel & Spa
- Radisson Blu Hotel Kuwait
Or at the client’s premises.
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