Data Processing and Optimization with Generative AI
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.
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What you'll learn
Generate synthetic data using generative AI models to overcome data limitations
Implement advanced data cleaning techniques with AI assistance to resolve complex data quality issues
Optimize datasets for improved analysis efficiency and performance
Apply ethical considerations in data processing and synthetic data generation
Identify and mitigate biases in data and AI algorithms
Evaluate synthetic data quality using appropriate metrics and benchmarks
Skills you'll gain
This course includes:
16 Hours PreRecorded video
28 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 5 modules in this course
This comprehensive course explores advanced methods for data cleaning, preparation, and optimization using AI-assisted tools. Students learn to generate synthetic data to address privacy concerns and data limitations in their projects. The curriculum covers leveraging AI to identify and resolve complex data quality issues, ensuring datasets are primed for analysis. Key topics include synthetic data generation using generative AI models, advanced data cleaning techniques with AI assistance, dataset optimization for improved analysis efficiency, and ethical considerations in data processing and synthetic data generation. Through hands-on assignments and practical examples, learners develop skills to transform their data workflows and enhance analytical capabilities using the latest AI technologies.
Synthetic data generation
Module 1 · 3 Hours to complete
Advanced data cleaning techniques
Module 2 · 3 Hours to complete
Dataset preparation
Module 3 · 3 Hours to complete
Datasets optimization
Module 4 · 3 Hours to complete
Ethical considerations in data processing
Module 5 · 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 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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Frequently asked questions
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