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Applied Data Analytics Using Microsoft Power Tools (SIMnet)

126508940X · 9781265089405
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4 Year
$99.00
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Instant access to SIMnet, our digital Microsoft Office training platform:

  • Interactive assignments and extra practice materials
  • Sharable Digital Credentials
  • Extended Access

> Learn more about SIMnet®

See Applied Data Analytics Using Microsoft Power Tools in Action

Watch as Casey offers a practical look at applied data analytics and the growing role of Microsoft Power Tools in business education. See Applied Data Analytics Using Microsoft Power Tools in action as Casey shares hands-on techniques, classroom-ready activities, and teaching strategies that help students transform data into meaningful business insights.

How will Applied Data Analytics Using Microsoft Power Tools impact students?

What needs or opportunities does Applied Data Analytics Using Microsoft Power Tools address

Meeting Employer Expectations in Higher Education - 04/15/26 Webinar Recording

What is SIMnet?

SIMnet® is McGraw Hill’s industry-leading Microsoft Office training and assessment platform designed to build students’ skills in Excel, Outlook, PowerPoint, Word and Access. SIMnet also boosts computer concepts, operating system and file management skills. Explore the resources included with this solution.

Why SIMnet?

SIMnet supports
Equitable Education?

Prepare Students for Their Careers with Digital Badges

The Support You and Your Students Deserve

How can I unlock the potential for my Applied Data Analytics course with SIMnet?

SIMnet transformed course management for Professor James Hall, addressing challenges like glitchy simulations, complex registration, and difficult-to-interpret reports. Learn more about how SIMnet’s user-friendly design, accurate simulations, and seamless access model have reduced frustrations and saved time, allowing students and faculty to focus on learning and teaching.

James Halls, Professor in the School of Business at Algonquin College.

SIMnet has revolutionized Professor Ryan Vatanchi’s Human Resource Management courses by addressing students' technical skill gaps and reducing his administrative workload. Discover how the intuitive platform, personalized practice options, and seamless LMS integration have enhanced student engagement, accelerated skill mastery, and ensured consistency across course sections.

Ryan Vatanchi, Professor in the Lawrence Kinlin School of Business at Fanshawe College.

We help make SIMnet simple. Learn how to build your course, use reporting tools and more with our helpful support videos and resources.

SIMnet delivers seamless updates that keep pace with changes in Microsoft 365. See our latest updates and releases.

Learning is a fundamentally social experience, and AI should be used to strengthen human connections.

  • Part I: Definitions
  • Chapter 1: What is Data Analytics?
  • Chapter 2: The Data Analytics Process
  • Part II: Visualize
  • Chapter 3 (PBI): Descriptive Data Analytics - Power BI
  • Chapter 3 (EX): Descriptive Data Analytics - Excel Pivot Chart and Pivot Table
  • Chapter 4 (PBI): More Descriptive Data Analytics - Power BI
  • Chapter 4 (EX): More Descriptive Data Analytics - Excel Pivot Chart and Pivot Table
  • Chapter 5 (PBI): Diagnostic Data Analytics - Power BI
  • Chapter 5 (EX): Diagnostic Data Analytics - Excel Pivot Chart and Pivot Table
  • Chapter 6: Interactivity - Power BI
  • Chapter 7: More Interactivity - Power BI
  • Part III: Extract and Transform
  • Chapter 8: Data Gathering - Power Query in Excel and Power BI
  • Chapter 9: Transforming Data - Power Query in Excel and Power BI
  • Chapter 10: Row Manipulation - Power Query in Excel and Power BI
  • Chapter 11: Adding Columns - Power Query in Excel and Power BI
  • Chapter 12: Working with Queries- Power Query in Excel and Power BI
  • Chapter 13: Profiling and Troubleshooting - Power Query in Excel
  • Part IV: Model
  • Chapter 14 (PBI):Basic Data Modeling - Power BI
  • Chapter 14 (EX): Basic Data Modeling - Power Pivot in Excel
  • Chapter 15: Introduction to DAX Expressions - Excel and Power BI
  • Chapter 16: Advanced DAXExpressions - Excel and Power BI
  • Chapter 17 (PBI): Predictive, Prescriptive and Cognitive Analytics - Power BI
  • Part V: Share
  • Chapter 18 (PBI):Sharing Content- Power BI
  • Chapter 18 (EX): Sharing Content - Excel