Ementorhub

What you'll learn

Gain hands-on experience using Copilot to generate code, analyze data, build simple generative models, and mitigate bias in AI-driven processes

Define generative AI, its key concepts (GANs, VAEs, Transformers), and how Microsoft Copilot leverages these models to enhance data science workflows

Identify GenAI use cases in data science (data augmentation, feature engineering, anomaly detection, and generative modeling) using Copilot examples

Assess the strengths, weaknesses, and ethical implications of different generative model architectures in data science scenarios, using Copilot

Skills you'll gain

Microsoft Copilot

Data-Driven Decision-Making

Data Storytelling

Generative AI

Large Language Modeling

Data Validation

Data Cleansing

Data Synthesis

Data Ethics

Data Presentation

Data Quality

Data Visualization Software

Specialization - 3 course series

This program features three hands-on projects designed to solidify your data science skills. You'll use Microsoft Copilot to tackle real-world challenges. The first project, you’ll learn how to enhance data workflows. You’ll design and implement a generative AI solution, addressing security and privacy concerns. In the second project, you’ll learn about data optimization while integrating Copilot into a real-world scenario to improve data quality and streamline preparation. In the final project, you’ll learn how to best communicate insights by creating tailored communication materials for technical and non-technical audiences, showcasing the power of AI in data analysis. These projects will equip you with practical experience and a portfolio of work to showcase your expertise.

Data Preparation and Evaluation with Copilot

Data Analysis, Visualization, and Communication with Copilot