Advanced Data Analysis 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.
Instructors:
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What you'll learn
Perform predictive analysis using generative AI tools to forecast trends and outcomes
Conduct time-series analysis and forecasting with AI assistance for sequential data
Extract insights from text data using generative AI and NLP technologies
Identify and analyze anomalies and outliers in datasets using AI algorithms
Create automated, AI-enhanced data analysis reports and documentation
Streamline the data analysis workflow with generative AI assistance
Skills you'll gain
This course includes:
16 Hours PreRecorded video
24 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 data analysis techniques enhanced by generative AI. Students learn to apply sophisticated analytical methods including predictive modeling, time-series forecasting, text analysis, and anomaly detection. The curriculum focuses on leveraging AI to uncover hidden patterns in complex datasets, extract insights from unstructured text, and generate accurate predictions. Through hands-on assignments and practical demonstrations, participants develop skills in using generative AI tools to streamline the entire data analysis workflow - from initial data cleaning through visualization to final report generation. The course emphasizes both technical implementation and strategic decision-making when selecting appropriate analytical approaches for different business scenarios.
Data analysis fundamentals with GenAI
Module 1 · 3 Hours to complete
Predictive Analysis with GenAI
Module 2 · 3 Hours to complete
Time-Series Analysis
Module 3 · 2 Hours to complete
Text Data Analysis
Module 4 · 3 Hours to complete
Anomalies and Outliers Detection
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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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.