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
Overview
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
- 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