Copilot & AI Agents for Data Science Bootcamp [2026]

About this course

In this hands-on bootcamp, you will master Microsoft CoPilot, GPT-5, and intelligent AI agents for data science. You’ll master the full data science workflow, including data wrangling and feature engineering, data cleaning and merging with CoPilot. We will then cover data visualization and storytelling, turning raw data into dashboards and narratives that drive business decisions. You’ll also cover model development and validation, building and evaluating classifiers while tracking performance using metrics such as accuracy, precision, recall and ROC curves. Finally, you’ll cover anomaly detection, applying methods such as Z-Score and Isolation Forest to spot unusual patterns before they cost money.. What You’ll Learn:

• Clean and prepare real-world datasets using CoPilot’s advanced prompt engineering.
• Build predictive models for forecasting, classification, and anomaly detection.
• Automate feature engineering and data wrangling tasks with custom AI agents.
• Visualize trends and correlations using Matplotlib, Seaborn, and Plotly inside CoPilot.
• Detect anomalies using Z-Score and Isolation Forest techniques.
• Create executive-level insights and recommendations from raw data.
• Compare and evaluate multiple machine learning models with proper validation.
• Design custom GPTs for advanced analysis, reporting, and business strategy.

Bootcamp Modules:

• CoPilot Overview & AI Agents Demo – From messy data cleanup to CEO-level storytelling.
• Data Wrangling & Feature Engineering in CoPilot – Practical workflows for handling missing values, merging datasets, and creating features.
• Data Visualization in CoPilot – Scatter plots, heatmaps, pairplots, and executive-ready dashboards.

Model Development & Validation – Build, eva

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