This course delves into sophisticated analytical methods, including predictive modeling, time-series forecasting, and anomaly detection. You'll learn to harness the power of AI to uncover hidden patterns and trends in complex datasets. The course covers text data analysis, enabling you to extract valuable insights from unstructured data sources.
Advanced Data Analysis with Generative AI
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Advanced Data Analysis with Generative AI
This course is part of Microsoft Generative AI for Data Analysis Professional Certificate
Instructor: Microsoft
Included with 
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
16 hours to complete
3 weeks at 5 hours a week
Flexible schedule
Learn at your own pace
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Recently updated!
November 2024
Assessments
24 assignments
Taught in English
See how employees at top companies are mastering in-demand skills
Build your Data Analysis expertise
This course is part of the Microsoft Generative AI for Data Analysis Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate from Microsoft
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
There are 5 modules in this course
Establish a structured data analysis workflow and harness the power of generative AI tools to streamline documentation, enhance efficiency, and make informed decisions throughout the process.
What's included
13 videos7 readings5 assignments
Leverage generative AI models to analyze historical data, identify patterns, and generate accurate predictions for future trends and outcomes.
What's included
12 videos5 readings5 assignments
Analyze sequential data to identify patterns and Predict future trends
What's included
9 videos5 readings4 assignments1 discussion prompt
Harness generative AI technologies to extract valuable insights from unstructured text data, including sentiment analysis and automated content generation.
What's included
6 videos5 readings5 assignments
Apply generative AI algorithms to detect and analyze anomalies and outliers in datasets, enhancing data quality and uncovering potential issues
What's included
9 videos7 readings5 assignments
Recommended if you're interested in Data Analysis
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Duke University
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Frequently asked questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
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