Master Predictive Analytics for Operations Professionals

Name: Master Predictive Analytics for Operations Professionals
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Microsoft Excel Predictive Analytics & Automation: The Complete Guide for Forecasting and Process Optimization

Created byEcoStar Academy

Last updated 6/2026

English

What you'll learn

Master Predictive Analytics Using Excel Students will learn how to use Excel’s built-in tools and functions, such as LINEST and TREND
Automate Repetitive Tasks with Macros and VBA Learners will gain the skills to create and implement Excel macros and basic VBA to automate repetitive tasks
Apply Advanced Forecasting Techniques Students will explore and apply advanced forecasting methods, such as exponential smoothing to predict trends
Learners will develop dynamic, interactive dashboards using PowerPivot, Power BI, and Excel’s advanced charting tools to present insights effectively.

Course content

8 sections • 29 lectures • 3h 18m total length

Introduction6:58
Predictive Analytics, Automation, and AI Tools: The Complete No-Code Guide for Every Professional.' I'll walk you through the key learning objectives, including mastering predictive analytics, automating tasks with Excel, and creating dynamic dashboards—all without coding. Whether you're a business professional, data analyst, or small business owner, this course will equip you with powerful tools to make smarter, data-driven decisions.
Learning Objectives1:08
In this course, you will:
Master predictive analytics using Excel tools like LINEST and TREND.
Automate tasks with Excel macros and VBA.
Apply advanced forecasting techniques like exponential smoothing.
Build interactive dashboards using PowerPivot and Power BI.
Integrate AI tools like ChatGPT to automate and improve decision-making—no coding needed.
This course will give you the key skills to enhance your Excel capabilities.

Foundations of Predictive Analytics3:00
Learn the key concepts of predictive analytics and how it differs from descriptive and prescriptive analytics. Gain insight into how these concepts can be applied to real-world business scenarios.
Forecast sales using 2D line chart and forecast sheet9:30
Forecast sales using 2D line chart and forecast sheet.
Trend and Linest8:24
Hands-on Use of Excel Functions: Apply key Excel functions like LINEST (for linear regression) and TREND to perform predictive analytics, analyzing relationships between variables and predicting outcomes based on historical data.
Forecasting with Exponential smoothing and Excel Exercise7:54
Forecasting with Exponential Smoothing: Learn how to apply Excel’s Forecast.ETS function to use exponential smoothing—a technique for making predictions that gives more weight to recent data points. This is especially useful for forecasting in time series data (e.g., sales trends, inventory demand).
LINEST Function
Linear Regression Application
TREND Function
Initial Forecast Value
Exponential Smoothing Calculation
Smoothing Factor Weights
FORECAST.ETS Usage
Lower Confidence Bound
Upper Confidence Bound

What - If Analysis Intro2:24
In this lesson, you'll be introduced to What-If Analysis in Excel, a powerful tool that allows you to explore different scenarios and predict outcomes by adjusting variables in your data.
What - If Analysis Data Table in Excel6:39
In this lesson, you'll be introduced to What-If Analysis in Excel, a powerful tool that allows you to explore different scenarios and predict outcomes by adjusting variables in your data.You'll learn how to use features like Data Tables to make informed decisions by analyzing potential outcomes based on different assumptions.
Scenario Manager8:22
You'll learn how to use Scenario Manager to make informed decisions by analyzing potential outcomes based on different assumptions.
Solver Intro2:13
In this lesson, you'll learn how to use Solver, an advanced Excel tool for optimization. Solver helps you find the best solution to a problem by adjusting multiple variables, subject to constraints. Whether you're maximizing profits, minimizing costs, or optimizing resource allocation, Solver allows you to automate and solve complex scenarios in Excel with ease.
Excel Solver Exercise7:21
In this lesson, you'll learn how to use Solver, an advanced Excel tool for optimization. Solver helps you find the best solution to a problem by adjusting multiple variables, subject to constraints. Whether you're maximizing profits, minimizing costs, or optimizing resource allocation, Solver allows you to automate and solve complex scenarios in Excel with ease.
Budget Allocation Formula
Calculating Total Conversions
Dividing Marketing Spend
Profit Calculation
Increasing Sales Value
Predicting Future Profit Values

Macro in Excel6:35
In this lesson, you'll discover how to use Macros in Excel to automate repetitive tasks. Macros are small programs that record your actions in Excel and can be run to perform the same steps automatically. You’ll learn how to record, edit, and run macros, streamlining tasks like formatting, calculations, and data entry—saving you time and reducing errors in your workflow.
Python in Excel12:16
In this lesson, you'll explore how to use Python within Excel to enhance data analysis and automate tasks. Python, a powerful programming language, can now be integrated directly into Excel, allowing you to perform complex data manipulations, statistical analysis, and automate workflows without needing external tools. You’ll learn how to run Python scripts alongside Excel formulas, combining the best of both worlds to solve advanced data problems efficiently.
Results Interpretation of Python Exercise3:43
In this lesson, you'll explore how to use Python within Excel to enhance data analysis and automate tasks. Python, a powerful programming language, can now be integrated directly into Excel, allowing you to perform complex data manipulations, statistical analysis, and automate workflows without needing external tools. You’ll learn how to run Python scripts alongside Excel formulas, combining the best of both worlds to solve advanced data problems efficiently.
Purpose of Macros
Make predictions without coding

Intro to Logistic regression model7:00
In this lesson, you'll dive into Logistic Regression, a powerful statistical method used in Excel to predict the probability of a binary outcome (e.g., yes/no, pass/fail). Unlike linear regression, logistic regression is used when the dependent variable is categorical. You’ll learn how to apply logistic regression using Excel’s Solver tool to model and predict outcomes such as customer churn, purchase likelihood, or any scenario where the result falls into one of two categories. This is essential for classification problems in business and data science.
Logistic regression model - example7:41
In this lesson, you'll dive into Logistic Regression, a powerful statistical method used in Excel to predict the probability of a binary outcome (e.g., yes/no, pass/fail). Unlike linear regression, logistic regression is used when the dependent variable is categorical. You’ll learn how to apply logistic regression using Excel’s Solver tool to model and predict outcomes such as customer churn, purchase likelihood, or any scenario where the result falls into one of two categories. This is essential for classification problems in business and data science.
Logistic regression model - example interpretation3:25
In this lesson, you'll dive into Logistic Regression, a powerful statistical method used in Excel to predict the probability of a binary outcome (e.g., yes/no, pass/fail). Unlike linear regression, logistic regression is used when the dependent variable is categorical. You’ll learn how to apply logistic regression using Excel’s Solver tool to model and predict outcomes such as customer churn, purchase likelihood, or any scenario where the result falls into one of two categories. This is essential for classification problems in business and data science.
Intro to K-means clustering2:23
Intro to K-means clustering
K- means clustering in excel19:11
Hands-on: Perform customer segmentation using K-Means clustering.
Intro to Weighted Scoring4:09
Intro to Weighted Scoring
Weighted Scoring - Excel Example7:07
Weighted Scoring - Excel Example
Logistic Regression Formula
Log-Loss Calculation
Summing Log-Loss Values
KMeans Clustering Formula
Assigning Fruits to Clusters
Updating Cluster Centers
Calculating Weighted Scores

Introduction to PowerBI8:31
Introduction to PowerBI
Introduction to Powerpivot with example in excel and interpretation10:34
Introduction to Powerpivot with example in excel and interpretation
Utility Bills Tracking9:02
Utility Bills Tracking
Machine Learning in Excel10:16
Machine Learning in Excel
Sparklines5:23
Sparklines
Sparklines
Types of Sparklines
Adding Sparklines
Conditional Checking
ARIMA in Excel
XLSTAT
ARIMA

Requirements

Basic Understanding of Excel Students should have a basic familiarity with Excel, including knowledge of standard functions like SUM, AVERAGE, and simple cell formatting.
Access to Excel Software Learners will need access to Microsoft Excel (preferably version 2021 or Excel 365) to follow along with the exercises and practical applications.
No Coding Experience Required No prior programming or coding knowledge is needed, as this course focuses on no-code solutions for predictive analytics and automation using Excel.
A Desire to Learn Predictive Analytics While no advanced math or analytics background is required, students should be motivated to explore how data-driven decisions can be made using Excel’s tools.

Description

Are you an industrial engineer (or aspiring one) who wants to master data-driven decision making with Excel?
Or perhaps you’re a mechanical engineer or operations professional who wants to apply predictive analytics and automation to real-world challenges?

In today’s world, engineers are expected to do more than just design processes — they need to forecast trends, optimize operations, and automate repetitive tasks. That’s where this course comes in.

This course takes you step by step through predictive analytics and automation in Excel, focusing on industrial engineering scenarios that mirror what you’ll face in the field: demand forecasting, queuing analysis, process optimization, and more.

You’ll learn how to:

Forecast demand and production volumes using Excel’s built-in predictive tools
Analyze waiting times and queuing problems to improve operations efficiency
Automate repetitive workflows with Excel macros and VBA — no coding experience required
Apply trend analysis and regression models to industrial and operations data
Build dashboards that help managers and engineers make better, faster decisions

Tools You’ll Master

Excel predictive formulas: TREND, FORECAST.LINEAR, LINEST
Automation with Macros and VBA (no prior programming needed)
Data visualization with Excel charts and dashboards

Who This Course Is For

Industrial engineers who want to strengthen their analytics skills
Operations and quality professionals looking to use Excel for predictive insights
Mechanical engineers who want to expand into forecasting and process optimization

Who this course is for:

Business Professionals Anyone working in business roles such as finance, marketing, sales, or operations who needs to make data-driven decisions and improve their forecasting capabilities without relying on complex coding.
Analysts and Data Enthusiasts People in data analysis roles or those interested in learning practical, no-code methods for performing predictive analytics and creating powerful data visualizations using Excel.
Small Business Owners and Entrepreneurs Entrepreneurs looking to optimize their business performance by forecasting sales, automating tasks, and gaining insights from their data using easy-to-understand tools in Excel.
Excel Users Seeking Advanced Skills Intermediate Excel users who want to elevate their skills by learning advanced Excel features such as macros, Solver, PowerPivot, and data visualization techniques to boost their productivity and analysis capabilities.

Master Predictive Analytics for Operations Professionals

What you'll learn

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Course content

Introduction - Course Outline and Learning Objectives2 lectures • 8min

Foundations of Predictive Analytics with Excel4 lectures • 29min

Advanced Forecasting and Automation in Excel5 lectures • 27min

Automating Workflows with Excel Macros, VBA, and AI Tools3 lectures • 23min

Advanced Machine Learning Models without Coding7 lectures • 51min

Dynamic Data Visualization and Interactive Dashboards5 lectures • 44min

Connecting Excel to Easy Data Sources for Analysis2 lectures • 17min

Conclusion and Next Steps1 lecture • 1min

Requirements

Description

Who this course is for: