Introduction to Generative AI for Data Analysis
This course is part of Microsoft Generative AI for Data Analysis Certificate.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Microsoft Generative AI for Data Analysis Professional Certificate program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.3
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What you'll learn
Define generative AI and its applications in data analysis workflows
Integrate AI tools like Microsoft Copilot into data exploration processes
Apply prompt engineering techniques to improve AI-generated insights
Identify and address data inconsistencies using generative AI
Evaluate ethical considerations when implementing AI for data analysis
Craft effective prompts using frameworks like RACE and PARE
Skills you'll gain
This course includes:
17 Hours PreRecorded video
29 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 5 modules in this course
This comprehensive course provides a foundational understanding of generative AI and its applications in data analysis. Students learn to leverage key tools and platforms like Microsoft Copilot, Power BI, and Microsoft Fabric to enhance their data workflows. The curriculum covers essential topics including data exploration, data cleaning, and prompt engineering techniques specifically tailored for analysts. Through hands-on projects and practical exercises, learners develop skills to craft effective prompts, evaluate AI-generated insights, and address ethical considerations in AI implementation. By the end of the course, participants will be able to integrate generative AI tools into existing data analysis workflows, improving efficiency and uncovering deeper insights from their data.
Introduction to Generative AI
Module 1 · 3 Hours to complete
Data exploration with GenAI
Module 2 · 3 Hours to complete
Data cleaning with GenAI
Module 3 · 3 Hours to complete
Prompt Engineering Fundamentals
Module 4 · 3 Hours to complete
Ethical and Safe Use of GenAI
Module 5 · 3 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 Generative AI for Data Analysis Certificate
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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4.3 course rating
28 ratings
Frequently asked questions
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