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Microsoft

Advanced Data Analysis with Generative AI

Microsoft via Coursera

Overview

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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 Who this course is for: Advanced Data Analysis with Generative AI is designed for business analysts and data analysts who are ready to move beyond foundational data work and apply AI-powered techniques to real-world analytical challenges. It's ideal for professionals who are comfortable working with data day-to-day and want to expand their skillset into predictive modeling, forecasting, and text analysis — without needing a background in data science or machine learning. If you've been looking for a practical, tool-focused way to bring advanced analytics into your workflow, this course is for you.

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. In this module, you'll explore the core principles that underpin effective data analysis and discover how generative AI can act as a practical partner at every stage — from clarifying your analytical objectives to summarizing findings. You'll get hands-on experience using AI tools to clean and prepare data, generate initial hypotheses, and produce clear documentation without getting bogged down in manual tasks. By the end of this module, you'll have a repeatable, AI-assisted workflow you can apply immediately to your own data projects.
  • 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
    • Explore the key components of time series data and learn how to decompose patterns over time. Apply a range of forecasting methods to predict future trends with confidence. Evaluate model accuracy to select the approach that best fits your data. Build practical solutions that turn time series analysis into real business insight.
  • 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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