Generative AI for Data Science with Copilot
This course is part of Microsoft Copilot for Data Science.
This comprehensive course introduces you to generative AI applications in data science, with a focus on leveraging Microsoft Copilot to streamline workflows and enhance productivity. You'll explore foundational concepts of generative AI, including GANs, VAEs, and Transformers, while gaining practical experience implementing these models through Copilot. The course begins with core principles of generative AI and how Copilot utilizes these technologies to assist with code generation, data analysis, and visualization. You'll discover practical applications like data augmentation, pattern recognition, anomaly detection, and scenario simulation for decision-making. The program also addresses critical security and ethical considerations, teaching you to identify vulnerabilities like data breaches and misinformation while implementing privacy-preserving techniques. Through hands-on assignments and real-world case studies, you'll learn to assess different generative models' strengths and weaknesses, mitigate bias in AI systems, and integrate Copilot responsibly into data science workflows.
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What you'll learn
Define and differentiate types of generative AI models including GANs, VAEs, and Transformers
Use Microsoft Copilot to streamline code generation for data science tasks
Implement data analysis and visualization workflows with Copilot assistance
Apply generative AI for data augmentation and synthetic data creation
Identify patterns and anomalies in datasets using generative models
Develop simulation scenarios for enhanced decision-making
Skills you'll gain
This course includes:
1.8 Hours PreRecorded video
6 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 3 modules in this course
The course provides a comprehensive introduction to generative AI for data science using Microsoft Copilot, organized into three focused modules. The first module covers foundational concepts of generative AI, including model types like GANs, VAEs, and Transformers, while demonstrating how Copilot leverages these technologies to enhance data science workflows through code generation and analysis tools. The second module explores practical applications of generative AI in data science, showing how Copilot can be used for data augmentation, pattern discovery, anomaly detection, and scenario simulation to support decision-making processes. The final module addresses the critical aspects of data security and privacy in generative AI, teaching students to identify potential risks such as data breaches and misinformation while implementing privacy-preserving techniques and responsible AI practices. Throughout the course, theoretical knowledge is reinforced with practical demonstrations, case studies, and hands-on assignments.
Foundations of generative AI and Microsoft Copilot
Module 1 · 2 Hours to complete
Generative AI use cases in data science with Copilot
Module 2 · 1 Hours to complete
Data security and privacy in generative AI
Module 3 · 2 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Microsoft Copilot for Data Science
Instructor
Empowering Individuals and Organizations Through Technology
Microsoft's mission is "to empower every person and every organization on the planet to achieve more," reflecting its commitment to leveraging technology for global empowerment. The company aims to drive digital transformation through an integrated cloud approach, creating a robust platform that enhances productivity and accessibility for users worldwide. Its vision statement emphasizes the goal of democratizing artificial intelligence, ensuring that AI technologies are accessible and beneficial for everyone. This focus on empowerment and inclusivity underpins Microsoft's strategies and product development, positioning it as a leader in innovation within the technology sector. The company has consistently pursued excellence by fostering a culture of innovation, diversity, and corporate social responsibility, ultimately aiming to improve quality of life and facilitate progress across various fields, including education, healthcare, and business.
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Frequently asked questions
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