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Microsoft

Advanced Data Analysis with Generative AI

Microsoft via Coursera

Overview

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. Upon completion of this course, you'll be able to: - Perform predictive analysis using generative AI tools - Conduct time-series analysis and forecasting with AI assistance - Extract insights from text data using generative AI technologies - Identify and analyze anomalies and outliers in datasets using AI

Syllabus

  • Data analysis fundamentals with GenAI
    • 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.
  • Predictive Analysis with GenAI
    • Leverage generative AI models to analyze historical data, identify patterns, and generate accurate predictions for future trends and outcomes.
  • Time-Series Analysis
    • Analyze sequential data to identify patterns and Predict future trends
  • Text Data Analysis
    • Harness generative AI technologies to extract valuable insights from unstructured text data, including sentiment analysis and automated content generation.
  • Anomalies and Outliers Detection
    • Apply generative AI algorithms to detect and analyze anomalies and outliers in datasets, enhancing data quality and uncovering potential issues

Taught by

Microsoft

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