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AI-Powered Data Analysis with Microsoft Copilot

AI-Powered Data Analysis with Microsoft Copilot

本课程是 Microsoft Excel & Copilot: From Basics to AI 专项课程的一部分

位教师：Anton Voroniuk

顶尖授课教师

包含在中

了解更多

6个模块

深入了解一个主题并学习基础知识。

初级等级

推荐体验

5 小时完成

灵活的计划

自行安排学习进度

6个模块

深入了解一个主题并学习基础知识。

初级等级

推荐体验

5 小时完成

灵活的计划

自行安排学习进度

您将学到什么

Use Microsoft Copilot to analyze financial and business data efficiently and extract actionable insights.
Create professional data visualizations and dashboards that communicate key findings to stakeholders.
Build confidence in making data-driven decisions independently using proven analytical techniques

您将获得的技能

您将学习的工具

要了解的详细信息

可分享的证书

添加到您的领英档案

了解顶级公司的员工如何掌握热门技能

了解关于 Coursera for Business 的更多信息

Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

积累特定领域的专业知识

本课程是 Microsoft Excel & Copilot: From Basics to AI 专项课程专项课程的一部分

在注册此课程时，您还会同时注册此专项课程。

向行业专家学习新概念
获得对主题或工具的基础理解
通过实践项目培养工作相关技能
获得可共享的职业证书

该课程共有6个模块

Master the essential skills of data analysis and visualization, even with no prior experience. This course teaches you how to leverage Microsoft Copilot's AI-powered capabilities to transform raw data into actionable insights and compelling visualizations. Through real-world case studies in financial analysis and business analytics, you'll learn to interpret trends, create professional dashboards, and make data-driven decisions with confidence.

Whether you're looking to advance your career, understand your business better, or simply gain a valuable new skill, this course accelerates your learning by combining Copilot's intelligent features with proven analytical techniques. You'll discover how AI can dramatically reduce the time spent on routine tasks, allowing you to focus on strategic thinking and decision-making. By the end of this course, you'll be equipped to analyze complex datasets, visualize patterns that matter, and communicate insights that drive real business results—all while building the confidence to tackle data challenges independently.

单元详情

This introductory module establishes the foundational principles of artificial intelligence and machine learning, offering a comprehensive architectural overview of Microsoft Copilot and its integration into modern business intelligence workflows.

涵盖的内容

4个视频1篇阅读材料1个作业

4个视频总计15分钟

What is Microsoft Copilot? An Architectural Overview4分钟
Integrating Microsoft Copilot into Modern BI Workflows4分钟
A Beginner's Guide to AI and Machine Learning Concepts3分钟
Inside Large Language Models: The Tech Powering Generative AI3分钟

1篇阅读材料总计10分钟

Generative AI Architecture: The Five Layers10分钟

1个作业总计15分钟

Test Your Knowledge15分钟

You will explore advanced methodologies for structuring scalable data pipelines, utilizing Microsoft Copilot to automate Power Query M code generation and optimize raw data transformation processes.

涵盖的内容

4个视频1篇阅读材料1个作业

4个视频总计19分钟

Building Scalable Data Pipelines for AI Integration4分钟
The Essentials of Structuring and Transforming Raw Data7分钟
A Complete Walkthrough of Microsoft Copilot Capabilities5分钟
Automating Power Query M Code Generation via AI Prompts3分钟

1篇阅读材料总计10分钟

Key Strategies for Data Cleaning Workflows10分钟

1个作业总计15分钟

Test Your Knowledge15分钟

This section provides rigorous statistical approaches for anomaly detection and data standardization, empowering learners to leverage AI-driven prompt engineering for organizing and refining complex datasets.

涵盖的内容

7个视频1篇阅读材料1个作业

7个视频总计31分钟

Evaluating Dataset Health: Metrics for Data Quality6分钟
AI-Ready Data: Structuring Information for Copilot Success5分钟
Finding the Needle: Statistical Methods for Outlier Detection5分钟
Hands-Free Data Standardization: Prompt Engineering in Copilot4分钟
Organizing Messy Datasets: The Principles of Tidy Data4分钟
Effortless Data Reshaping: Parsing and Pivoting at Scale4分钟
AI-Driven Quality Assurance: Spotting Data Anomalies Fast4分钟

1篇阅读材料总计10分钟

The 7 Golden Rules for Preprocessing and Cleaning Data10分钟

1个作业总计15分钟

Test Your Knowledge15分钟

Learners will master the application of natural language processing to conduct comprehensive exploratory data analysis, generating descriptive statistics, correlation matrices, and hypothesis tests to validate business assumptions.

涵盖的内容

7个视频1篇阅读材料1个作业

7个视频总计31分钟

Blueprint for Discovery: Conducting Effective EDA4分钟
Decoding Data Relationships: Correlation and Descriptive Stats3分钟
Proving Your Point: A Guide to Statistical Significance4分钟
Instant Statistical Summaries: Leveraging Copilot for EDA5分钟
Uncovering Hidden Trends: Matrix Generation with AI5分钟
Validating Business Assumptions Using AI Hypothesis Testing4分钟
Bulletproofing Your Data: Advanced Verification Strategies5分钟

1篇阅读材料总计10分钟

The Ultimate Playbook for Exploratory Data Analysis10分钟

1个作业总计15分钟

Test Your Knowledge15分钟

This module delves into the psychological and technical principles of data visualization, teaching students how to generate, style, and export dynamic AI-powered charts and dashboards within Microsoft Excel.

涵盖的内容

5个视频1篇阅读材料1个作业

5个视频总计22分钟

Designing for Impact: The Psychology of Data Visualization4分钟
Text-to-Chart: Generating Excel Visualizations with Prompts3分钟
Building Dynamic AI Dashboards from Scratch5分钟
The Future of Analytics: Exploring AI-Generated Visuals4分钟
Polishing Your Presentation: Advanced Filtering and Exporting5分钟

1篇阅读材料总计10分钟

The Decision Matrix for Choosing the Perfect Data Graphic10分钟

1个作业总计15分钟

Test Your Knowledge15分钟

Focusing on operational efficiency, this concluding module demonstrates how to deploy Microsoft Copilot across Word, Excel, and Outlook to automate project forecasting, financial modeling, and performance reporting.