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
This course is part of Microsoft Generative AI for Data Analysis Professional Certificate
Instructor: Microsoft
Included with
Recommended experience
Skills you'll gain
Details to know
Add to your LinkedIn profile
November 2024
24 assignments
See how employees at top companies are mastering in-demand skills
Build your Data Analysis expertise
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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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Frequently asked questions
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