Data Analytics with Python + AI

What Data Analytics means in today's AI-driven environment.

How Python is used across the data analytics workflow.

How AI can help you write, understand, and improve Python code.

How to import, clean, and prepare datasets using Python.

How to explore datasets and identify important patterns.

Using Python and AI to perform data analysis faster.

Creating meaningful charts and visualizations with Python.

How AI can help identify trends, anomalies, and insights.

Using AI to improve your data analysis and problem-solving process.

Best practices for combining Python and AI for reliable analytics.

Data analytics is no longer just about memorizing Python, SQL, or Excel syntax. AI can now help you write code and perform many technical tasks, but you still need to know what questions to ask, how to validate the results, and what the business should do next.

This session shows you how Python and AI can work together in a real business problem from understanding the problem and cleaning data to exploring it, visualizing insights, and making data-driven recommendations.