Data Preparation and Evaluation with Copilot
This course is part of Microsoft Copilot for Data Science.
This course equips you with the skills to use Microsoft Copilot for streamlining data preparation and evaluation tasks. You'll master how to leverage generative AI and natural language processing capabilities to assess data quality, identify anomalies, and generate actionable insights. The curriculum covers synthetic data generation for various applications including model training and privacy preservation, helping you understand both the techniques and ethical considerations involved. You'll also learn to automate data cleaning processes, saving valuable time while improving data quality. Through practical demonstrations and hands-on assignments, you'll develop strategies for seamlessly integrating Copilot into existing data workflows, ultimately becoming a more efficient and effective data professional.
Instructors:
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What you'll learn
Assess and improve data quality using Copilot's analysis tools
Generate synthetic datasets for various applications, such as model training or privacy preservation
Clean and prepare data for analysis, automating tasks like formatting, deduplication, and standardization
Develop strategies for integrating Copilot into existing data workflows
Master anomaly detection techniques using generative AI
Optimize data quality to improve business outcomes
Skills you'll gain
This course includes:
2.35 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
This course provides a comprehensive introduction to using Microsoft Copilot for data preparation and evaluation tasks. It is structured into three main modules that cover essential skills for modern data professionals. The first module focuses on data quality evaluation using generative AI, teaching students how to assess data quality, identify anomalies, and generate insights for improvement. The second module explores synthetic data generation, including techniques, applications, and ethical considerations. The final module covers data cleaning and preparation, demonstrating how to automate tedious tasks and optimize workflows. Throughout the course, students learn practical applications through demonstrations and hands-on assignments that prepare them to integrate Copilot effectively into their data science workflows.
Data quality evaluation with generative AI and Copilot
Module 1 · 2 Hours to complete
Synthetic data generation with Copilot
Module 2 · 2 Hours to complete
Data cleaning and preparation with Copilot
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
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.