Applying Business Analytics – Using AI Techniques and Data Visualization Course
Overview
Artificial intelligence and business intelligence tools are transforming how organizations analyze data and make decisions. In Applying Business Analytics – Using AI Techniques and Data Visualization, you’ll learn how to critically evaluate AI‑assisted analyses, interpret statistical outputs responsibly, and communicate insights through effective data visualization.
This course focuses on understanding when AI tools are appropriate, how to recognize their limitations, and how to distinguish meaningful insights from misleading results. You’ll explore both descriptive and predictive analytics, customer segmentation, regression modeling, and classification techniques, with an emphasis on interpreting results in real-world business contexts.
Using tools such as Excel and Power BI, you’ll gain hands-on experience evaluating AI-generated outputs, selecting appropriate visualizations, and applying analytics insights across functional areas including marketing, operations, finance, and customer strategy.
What You’ll Learn
By completing this course, you will be able to:
- Evaluate the strengths and limitations of AI-assisted analytics tools
- Distinguish between exploratory analysis and statistical inference
- Understand the difference between prediction and interpretation
- Interpret statistical results, including margins of error, p-values, and practical significance
- Create and assess effective data visualizations using Excel, Power BI, and AI-assisted tools
- Identify when commonly used charts and dashboards are appropriate—or misleading
- Apply AI-assisted clustering techniques to identify and interpret customer segments
- Interpret and evaluate simple and multiple linear regression models
- Compare outcomes across groups using A/B tests, t-tests, and ANOVA
- Interpret models using percentage changes, elasticity, and logarithmic transformations
- Analyze binary outcomes such as customer churn using decision trees and logistic regression
Who Should Register?
This course is designed for:
- Business professionals seeking to strengthen their ability to interpret and apply data-driven insights
- Managers and leaders who work with analytics outputs and need to confidently assess AI-generated results
- Professionals in marketing, operations, finance, consulting, or customer analytics roles
- Individuals responsible for communicating analytical findings to stakeholders or leadership teams
- Those looking to build practical experience with data visualization and AI-assisted business analytics tools
No advanced technical background is required, but comfort working with data is recommended.
Curriculum
8 Week Course
Module 1: AI-Assisted Analysis and Statistical Foundations
Explore the goals, strengths, and limitations of AI-assisted analytics. Learn essential statistical concepts needed to accurately interpret results, including correlation vs. causation, prediction vs. interpretation, descriptive vs. predictive analytics, and statistical vs. practical significance.
Module 2: Gaining Insight Through Data Visualization
Create and evaluate visualizations using Excel, Power BI, and AI tools. Learn to interpret and critique commonly used charts, including histograms, scatter plots, box plots, and decomposition trees, and assess when visualizations are appropriate for the data.
Module 3: Customer Segmentation Using AI-Assisted Clustering
Learn when clustering methods such as k-means and hierarchical clustering are appropriate. Use AI-assisted tools to calculate and visualize customer segments and interpret resulting graphs and summary statistics.
Module 4: Simple Linear Regression for Business Insights
Assess when linear regression models are appropriate, interpret regression outputs, and understand common misinterpretations related to slope, R-squared values, and p-values.
Module 5: Evaluating Multiple Regression Models
Interpret AI-assisted multiple regression output, understand what it means to control for variables, evaluate when to include categorical inputs, and compare modeling approaches using training datasets versus full datasets.
Module 6: Comparing Groups and Experimental Analysis
Use A/B tests, t-tests, and ANOVA to compare outcomes across groups. Extend regression models to evaluate differences while controlling for other variables.
Module 7: Interpreting Percentage Change Models
Analyze models that estimate percentage changes rather than absolute changes. Interpret exponential, logarithmic, and power regression models and apply elasticity concepts to business scenarios.
Module 8: Predicting Binary Outcomes and Customer Churn
Analyze yes/no outcomes using decision trees and logistic regression. Estimate probabilities, interpret results, and compare model performance when predicting customer churn.
If you’re going to pay by credit card, you can either get started with installment payments or pay in full. Just let your enrollment representative know the option that work best for you.
Corporate and Military Tuition Assistance
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Corporate and Military TA
Corporate tuition assistance is paid by your employer. You will need to provide appropriate forms for processing, prior to enrollment. Air Force tuition assistance is available for active-duty service members. You will need to provide a valid military tuition assistance voucher. Both TA options are subject to employer benefit policies.
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Deferred Corporate TA
Pay tuition now and have your employer reimburse you. Additional documentation will be needed to process this payment. Subject to employer benefit policies.
Military Benefits
Active Duty
Michigan State offers a 15% savings, per certificate course, to active-duty servicemembers, Guardsmen and Reservists (upon verification of military status).
Veterans
Michigan State offers a 15% savings, per certificate course to veterans (upon verification of military status).
Spouses and Family
Michigan State offers a 15% savings, per certificate course, to active-duty servicemembers, veterans, Guardsmen, Reservists and their spouses and dependents (upon verification of military status).
If you are interested in learning more about the steps you need to complete payment, please contact a Student Success Representative. This reduction is valid off the standard tuition fee rate of the listed courses offered by Michigan State University with online administration by Bisk. This reduction is not stackable with other reductions, and you may not use this reduction in conjunction with other reductions.
