Microsoft Generative AI for Data Analysis Professional Certificate

Enhance your data analysis with generative AI. Unlock your AI-driven data analysis potential. Build skills to turn complex data into actionable insights. Some data experience is recommended.

Instructor: Microsoft

What you'll learn

  •   Apply generative AI techniques to optimize data processing, cleaning, and preparation for analysis.
  •   Use AI-powered tools for advanced data analysis, including predictive modeling and time-series forecasting.
  •   Create compelling data visualizations and interactive dashboards using generative AI assistance.
  •   Implement AI-driven automation for data workflows, including code generation and report creation.

    • Skills you'll gain

  •   Text Mining
  •   Anomaly Detection
  •   Data Quality
  •   Interactive Data Visualization
  •   Microsoft Copilot
  •   Dashboard
  •   Prompt Engineering
  •   Business Reporting
  •   Data Presentation
  •   Data Ethics
  •   Risk Analysis
  •   Excel Formulas

    • Professional Certificate - 6 course series

    By completion, you'll have the expertise to apply Generative AI in data analytics, streamlining workflows and communicating insights effectively.

    Upon completion of this course, you'll be able to: Define generative AI and its role in data analysis Integrate generative AI tools into existing data analysis workflows Develop prompt engineering skills for data analysis tasks Evaluate ethical considerations in using generative AI for data analysis

    Upon completion of this course, you'll be able to: Generate synthetic data using generative AI models Implement advanced data cleaning techniques with AI assistance Optimize datasets for improved analysis efficiency Apply ethical considerations in data processing and synthetic data generation

    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

    By the end of this course, you'll be able to: - Explore and prepare datasets for visualization using generative AI, identifying key insights, patterns, and trends relevant to business objectives. - Create a variety of compelling and interactive data visualizations tailored to specific audiences and business needs, utilizing generative AI tools. - Produce detailed and structured reports that effectively summarize data insights, incorporating visualizations, narratives, and recommendations to drive decision-making with the assistance of generative AI. - Communicate complex data insights effectively to diverse audiences, using storytelling techniques, such as narratives, metaphors, and visual cues, to drive business impact.

    Upon completion of this course, you'll be able to: - Generate code snippets for data analysis tasks using AI - Create and optimize formulas for data manipulation and analysis - Design automated data processing pipelines with generative AI - Integrate AI capabilities into existing coding environments and workflows

    Upon completion of this course, you'll be able to: - Conduct scenario analysis using generative AI models - Perform root cause analysis with AI assistance - Identify and assess potential risks using AI-powered techniques - Develop data-driven strategies based on AI-generated scenario insights

    Data Processing and Optimization with Generative AI

    Advanced Data Analysis with Generative AI

    Data Visualization and Reporting with Generative AI

    Coding and Automation for Data Analysis with Generative AI

    Scenario and Root Cause Analysis with Generative AI

    ©2025  ementorhub.com. All rights reserved