Microsoft Copilot for Data Analysis and Visualization

Packt via Coursera

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Provider

Coursera
Pricing

Paid Course
Languages

English
Certificate

Certificate Available
Effort

5 hours
Sessions

Self-Paced
Level

Intermediate
Subtitles

English

Found in

Overview

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Discover how to leverage Microsoft Copilot for advanced data analysis, visualization, and business reporting. This course provides hands-on lessons in using Copilot to clean, analyze, and generate insights across Microsoft Excel, Power BI, and PowerPoint, driving smarter decisions in real-time. In this course, you’ll master integrating Microsoft Copilot into data analysis and visualization. Starting with an introduction to Copilot’s role in business intelligence, you’ll explore tools for seamless data transformation, cleaning, and automation. As you progress, you’ll apply Copilot’s features to generate statistics, perform trend analysis, and automate tasks like pivoting and parsing. The course also covers creating visualizations with Copilot, guiding you through building interactive dashboards and charts in Power BI and Excel. You’ll work with real-time data integration, ensuring your reports are up-to-date and actionable. The focus is on using AI to improve decision-making and effectively presenting findings in PowerPoint. By the end, you’ll be skilled in creating advanced dashboards, conducting exploratory data analysis, and generating real-time insights. You’ll also learn to integrate AI insights into project planning and reporting, automating tasks like meeting recaps and status updates. This course will equip you to leverage Microsoft Copilot for enhanced productivity and business intelligence. This course is perfect for data analysts, business intelligence professionals, project managers, and anyone working with large datasets across Microsoft platforms. Professionals with a basic understanding of Excel and Power BI will benefit most, though no prior experience with Microsoft Copilot is required. If you're looking to improve your skills in data cleaning, reporting, and visualizations, and want to leverage AI to enhance your workflows, this course will equip you with the knowledge and hands-on experience you need. This course teaches you to use Microsoft Copilot for data analysis and visualization. You'll learn to connect data sources, create real-time dashboards, and apply AI tools for data cleaning, anomaly detection, and visualizations in Excel, Power BI, and PowerPoint to generate actionable insights. This course is based on Microsoft Copilot for Data Analysis and Visualization, by Anton Voroniuk. This video is licensed and distributed by Packt. All rights reserved. Packt is one of the world's most prolific publishers of cutting-edge technical content. For over two decades we've made it our mission to curate and publish the knowledge of only the very best technical experts. We focus on real-world courses that help our customers get the job done, with coverage that extends across a wide range of established and cutting-edge technical topics. If you're an individual or an organisation that embraces learning by doing, Packt is the perfect fit for you.

Syllabus

Welcome & Course Introduction
- This module provides an overview of Microsoft Copilot's role in business intelligence and analytics, explaining its features, benefits, and how it enhances decision-making processes. Learners will gain foundational knowledge of the course structure and objectives, as well as an understanding of Copilot's impact on productivity and data-driven strategies.
Connecting Data & Configuring Copilot
- This module teaches learners how to connect data and configure Microsoft Copilot for efficient data handling. It covers navigating Copilot features, generating Power Query M code, and applying it in data transformation workflows. By the end, learners will be able to integrate Copilot into their data projects with confidence.
Data Preparation, Cleaning & Anomaly Detection
- This module covers essential data preparation techniques, including cleaning, standardizing, and automating data tasks using Copilot. Learners will also explore methods for detecting anomalies and ensuring data quality, with a focus on practical implementation in Excel.
Exploratory Data Analysis with Copilot
- This module teaches learners how to use Copilot for conducting descriptive statistics, generating correlation matrices, performing hypothesis testing, and verifying data insights. It covers practical techniques for analyzing and interpreting business data effectively. Learners will gain hands-on skills in leveraging AI assistance for data analysis tasks.
Creating Advanced Visualizations
- This module covers the creation of advanced data visualizations using Excel and Copilot, focusing on generating charts, dashboards, and AI-powered visuals. Learners will gain skills in customizing and styling visuals to enhance data storytelling and presentation. The module also includes a knowledge check to reinforce key concepts.
Building Dashboards & Real-Time Data Integration
- This module covers the process of creating interactive Power BI dashboards, setting up real-time data integration, and sharing insights securely with stakeholders. Learners will also explore how to measure the impact of AI on business outcomes and use Copilot to automate report creation.
Enhancing Microsoft Excel with Copilot
- This module explores how Microsoft Excel with Copilot enhances data analysis through conversational AI, improves workflow efficiency, and teaches users to navigate and utilize Copilot's capabilities effectively while understanding its limitations.
Enhancing Presentations with Copilot in PowerPoint
- This module teaches learners how to leverage Copilot within PowerPoint and Word to create effective storyboards, executive summaries, and data-driven presentations. It covers strategies for communicating complex ideas and supporting strategic decision-making through visual and textual content. Learners will gain practical skills in using AI tools to enhance their presentations.
Applying Data Insights in Project Planning & Reporting
- This module explores how to leverage Microsoft Copilot for streamlining project planning, forecasting, meeting management, and team communication. Learners will gain hands-on skills in using AI tools to generate project plans, automate updates, and monitor key performance indicators. The focus is on enhancing productivity and clarity in project management workflows.
Final – Real-World Applications
- This module explores practical applications of Copilot through real-world case studies and provides learners with the opportunity to reflect on key takeaways and their real-life implementation.