Request for consultation
Thanks for your request. You’ll soon be chatting with a consultant to get the answers you need.
Your form is submitting...
{{formPostErrorMessage.message}} [{{formPostErrorMessage.code}}]
Quick Navigation
Overview
MindTap for Albright/Winston's BUSINESS ANALYTICS: DATA ANALYSIS & DECISION MAKING, 8TH EDITION, is the online learning platform that powers students from memorization to mastery. It gives you complete control of your course to provide engaging content, challenge every individual and build their confidence. Empower students to accelerate their progress with MindTap. MindTap: Powered by You.
MindTap gives you complete ownership of your content and learning experience. Customize the interactive syllabi, emphasize the most important topics and add your own material or notes in the eBook.
- ENGAGE STUDENTS WITH REAL EXPERIENCE. MindTap is an outcome-driven application that propels students from memorization to mastery. It’s the only platform that gives you complete ownership of your course. With it, you can challenge every student, build their confidence and empower them to be unstoppable.
- ACCESS EVERYTHING YOU NEED IN ONE PLACE. Cut down on prep with preloaded, organized course materials in MindTap. Teach more efficiently with interactive multimedia, assignments, quizzes and more. And give your students the power to read, listen and study on their phones so they can learn on their terms.
- EMPOWER YOUR STUDENTS TO REACH THEIR POTENTIAL. 12 distinct metrics give you actionable insights into student engagement. Identify topics troubling your entire class and instantly communicate with struggling students. Students can track their scores to stay motivated toward their goals. Together, you can accelerate progress.
- YOUR COURSE. YOUR CONTENT. Only MindTap gives you complete control over your course. You have the flexibility to reorder textbook chapters, add your own notes and embed a variety of content including OER. Personalize course content to your students’ needs. They can even read your notes, add their own and highlight key text to aid their progress.
- A DEDICATED TEAM, WHENEVER YOU NEED THEM. MindTap isn’t just a tool, it’s backed by a personalized team eager to support you. Get help setting up your course and tailoring it to your specific objectives. You’ll be ready to make an impact from day one. And, we’ll be right here to help you and your students throughout the semester and beyond.
1. Introduction to Business Analytics.
Part 1: DATA ANALYSIS.
2. Describing the Distribution of a Variable.
3. Finding Relationships among Variables.
4. Business Intelligence (BI) Tools for Data Analysis: Power Query.
5. Business Intelligence (BI) Tools for Data Analysis: Power Pivot.
Part 2: PROBABILITY AND DECISION MAKING UNDER UNCERTAINTY.
6. Probability and Probability Distributions.
7. Decision Making under Uncertainty.
Part 3: STATISTICAL INFERENCE, REGRESSION ANALYSIS, and TIME SERIES FORECASTING.
8. Statistical Inference.
9. Regression Analysis: Estimating Relationships.
10. Regression Analysis: Statistical Inference.
11. Time Series Analysis and Forecasting.
Part 4: OPTIMIZATION AND SIMULATION MODELING.
12. Introduction to Optimization Modeling.
13. Optimization Models.
14. Introduction to Simulation Modeling.
15. Simulation Models.
Part 5: ADVANCED DATA ANALYSIS.
16. Data Mining: Classification.
17. Data Mining: Clustering and Market Basket Analysis.
Part 7: BONUS ONLINE MATERIAL.
18. Analysis of Variance and Experimental Design.
19. Statistical Process Control.
Appendix A: Statistical Reporting.
Part 1: DATA ANALYSIS.
2. Describing the Distribution of a Variable.
3. Finding Relationships among Variables.
4. Business Intelligence (BI) Tools for Data Analysis: Power Query.
5. Business Intelligence (BI) Tools for Data Analysis: Power Pivot.
Part 2: PROBABILITY AND DECISION MAKING UNDER UNCERTAINTY.
6. Probability and Probability Distributions.
7. Decision Making under Uncertainty.
Part 3: STATISTICAL INFERENCE, REGRESSION ANALYSIS, and TIME SERIES FORECASTING.
8. Statistical Inference.
9. Regression Analysis: Estimating Relationships.
10. Regression Analysis: Statistical Inference.
11. Time Series Analysis and Forecasting.
Part 4: OPTIMIZATION AND SIMULATION MODELING.
12. Introduction to Optimization Modeling.
13. Optimization Models.
14. Introduction to Simulation Modeling.
15. Simulation Models.
Part 5: ADVANCED DATA ANALYSIS.
16. Data Mining: Classification.
17. Data Mining: Clustering and Market Basket Analysis.
Part 7: BONUS ONLINE MATERIAL.
18. Analysis of Variance and Experimental Design.
19. Statistical Process Control.
Appendix A: Statistical Reporting.