Introduction to Data Analysis with Artificial Intelligence

This 4-day hands-on training will teach you how to master essential libraries (NumPy, Pandas, Matplotlib, Scikit-Learn), manipulate real datasets, and develop your first data science and machine learning projects for practical business applications.

🧠 What You’ll Learn

• Write, compile, and run your first Python programs

• Work with the Anaconda environment and Spyder IDE

• Use NumPy for scientific computing and data structures

• Manipulate tabular data with Pandas and visualize it with Matplotlib

• Apply preprocessing techniques for data cleaning and preparation

• Build basic machine learning models (KNN, decision trees, regression, neural networks)

• Explore supervised and unsupervised learning (classification, clustering, KMeans)

• Develop practical mini-projects in data science and AI

👥 Who Should Take This Training?

• Engineers and analysts exploring AI applications

• Professionals and industry specialists seeking to leverage Python for automation and data analysis

• Students and teachers aiming to strengthen their digital skillset

• Anyone with a university-level background, no prior programming knowledge required

🎯 What You’ll Achieve

• Design and execute Python programs for scientific computing

• Create data visualizations and graphical reports

• Develop end-to-end data science and machine learning projects (classification, clustering, anomaly detection)

• Apply best practices for data preparation and model building

• Gain the ability to supervise and execute AI projects within your organization

✅ Prerequisites

No technical prerequisites required.

A university-level background is sufficient to successfully complete this training