Course Features

Price

Original price was: ر.س2,470.66.Current price is: ر.س75.58.

Study Method

Online | Self-paced

Course Format

Reading Material - PDF, article

Duration

6 hours, 25 minutes

Qualification

No formal qualification

Certificate

At completion

Additional info

Coming soon

Overview

Excel Machine Learning opens the door to one of the most in-demand skills in modern data-driven industries — building predictive models using the power of Microsoft Excel. This comprehensive course blends the simplicity of Excel with the sophistication of machine learning, empowering learners to analyse data, uncover patterns, and make informed business decisions without complex coding.

Through structured modules, you’ll learn how to create linear and logistic regression models, interpret outputs, and test assumptions using real-world datasets. You’ll explore predictive analytics in action — forecasting trends, identifying relationships, and presenting insights using Excel’s built-in tools. Whether you’re analysing sales performance, customer behaviour, or operational data, this course will give you the ability to make evidence-based predictions that drive results.

Beyond regression and prediction models, you’ll gain hands-on experience with Excel functions, visualisation techniques, and statistical tools to enhance your analytical confidence. The course is taught in an easy-to-follow format, guiding you step-by-step from foundational theory to practical applications. You’ll understand not just how to perform analyses, but also why each method matters — a key element in professional data storytelling.

This course helps learners build strong analytical and presentation skills, enabling them to confidently communicate insights to managers, clients, and stakeholders. By the end, you’ll know how to build and interpret machine learning models directly within Excel — making you a more efficient, insightful, and data-driven professional.

Upon completion, you’ll receive a free course completion certificate. Learners can also purchase premium certificates and transcript packages for formal recognition and portfolio enhancement. Dedicated 5-star rated support is available 24/7 via email, ensuring expert guidance every step of the way.

This course is ideal for business analysts, data enthusiasts, finance professionals, and managers who want to apply machine learning techniques using Excel. It’s also perfect for beginners who wish to explore predictive analytics without coding.
No prior knowledge of machine learning or programming is required. A basic understanding of Microsoft Excel and an interest in data analysis will help learners maximise the course’s benefits.

Graduates can pursue roles such as Data Analyst, Business Intelligence Specialist, or Financial Modeller. The skills gained also prepare learners for advanced studies in data science, analytics, or artificial intelligence.

Who is this course for?

Excel Machine Learning opens the door to one of the most in-demand skills in modern data-driven industries — building predictive models using the power of Microsoft Excel. This comprehensive course blends the simplicity of Excel with the sophistication of machine learning, empowering learners to analyse data, uncover patterns, and make informed business decisions without complex coding.

Through structured modules, you’ll learn how to create linear and logistic regression models, interpret outputs, and test assumptions using real-world datasets. You’ll explore predictive analytics in action — forecasting trends, identifying relationships, and presenting insights using Excel’s built-in tools. Whether you’re analysing sales performance, customer behaviour, or operational data, this course will give you the ability to make evidence-based predictions that drive results.

Beyond regression and prediction models, you’ll gain hands-on experience with Excel functions, visualisation techniques, and statistical tools to enhance your analytical confidence. The course is taught in an easy-to-follow format, guiding you step-by-step from foundational theory to practical applications. You’ll understand not just how to perform analyses, but also why each method matters — a key element in professional data storytelling.

This course helps learners build strong analytical and presentation skills, enabling them to confidently communicate insights to managers, clients, and stakeholders. By the end, you’ll know how to build and interpret machine learning models directly within Excel — making you a more efficient, insightful, and data-driven professional.

Upon completion, you’ll receive a free course completion certificate. Learners can also purchase premium certificates and transcript packages for formal recognition and portfolio enhancement. Dedicated 5-star rated support is available 24/7 via email, ensuring expert guidance every step of the way.

This course is ideal for business analysts, data enthusiasts, finance professionals, and managers who want to apply machine learning techniques using Excel. It’s also perfect for beginners who wish to explore predictive analytics without coding.
No prior knowledge of machine learning or programming is required. A basic understanding of Microsoft Excel and an interest in data analysis will help learners maximise the course’s benefits.

Graduates can pursue roles such as Data Analyst, Business Intelligence Specialist, or Financial Modeller. The skills gained also prepare learners for advanced studies in data science, analytics, or artificial intelligence.

Requirements

Excel Machine Learning opens the door to one of the most in-demand skills in modern data-driven industries — building predictive models using the power of Microsoft Excel. This comprehensive course blends the simplicity of Excel with the sophistication of machine learning, empowering learners to analyse data, uncover patterns, and make informed business decisions without complex coding.

Through structured modules, you’ll learn how to create linear and logistic regression models, interpret outputs, and test assumptions using real-world datasets. You’ll explore predictive analytics in action — forecasting trends, identifying relationships, and presenting insights using Excel’s built-in tools. Whether you’re analysing sales performance, customer behaviour, or operational data, this course will give you the ability to make evidence-based predictions that drive results.

Beyond regression and prediction models, you’ll gain hands-on experience with Excel functions, visualisation techniques, and statistical tools to enhance your analytical confidence. The course is taught in an easy-to-follow format, guiding you step-by-step from foundational theory to practical applications. You’ll understand not just how to perform analyses, but also why each method matters — a key element in professional data storytelling.

This course helps learners build strong analytical and presentation skills, enabling them to confidently communicate insights to managers, clients, and stakeholders. By the end, you’ll know how to build and interpret machine learning models directly within Excel — making you a more efficient, insightful, and data-driven professional.

Upon completion, you’ll receive a free course completion certificate. Learners can also purchase premium certificates and transcript packages for formal recognition and portfolio enhancement. Dedicated 5-star rated support is available 24/7 via email, ensuring expert guidance every step of the way.

This course is ideal for business analysts, data enthusiasts, finance professionals, and managers who want to apply machine learning techniques using Excel. It’s also perfect for beginners who wish to explore predictive analytics without coding.
No prior knowledge of machine learning or programming is required. A basic understanding of Microsoft Excel and an interest in data analysis will help learners maximise the course’s benefits.

Graduates can pursue roles such as Data Analyst, Business Intelligence Specialist, or Financial Modeller. The skills gained also prepare learners for advanced studies in data science, analytics, or artificial intelligence.

Career path

Excel Machine Learning opens the door to one of the most in-demand skills in modern data-driven industries — building predictive models using the power of Microsoft Excel. This comprehensive course blends the simplicity of Excel with the sophistication of machine learning, empowering learners to analyse data, uncover patterns, and make informed business decisions without complex coding.

Through structured modules, you’ll learn how to create linear and logistic regression models, interpret outputs, and test assumptions using real-world datasets. You’ll explore predictive analytics in action — forecasting trends, identifying relationships, and presenting insights using Excel’s built-in tools. Whether you’re analysing sales performance, customer behaviour, or operational data, this course will give you the ability to make evidence-based predictions that drive results.

Beyond regression and prediction models, you’ll gain hands-on experience with Excel functions, visualisation techniques, and statistical tools to enhance your analytical confidence. The course is taught in an easy-to-follow format, guiding you step-by-step from foundational theory to practical applications. You’ll understand not just how to perform analyses, but also why each method matters — a key element in professional data storytelling.

This course helps learners build strong analytical and presentation skills, enabling them to confidently communicate insights to managers, clients, and stakeholders. By the end, you’ll know how to build and interpret machine learning models directly within Excel — making you a more efficient, insightful, and data-driven professional.

Upon completion, you’ll receive a free course completion certificate. Learners can also purchase premium certificates and transcript packages for formal recognition and portfolio enhancement. Dedicated 5-star rated support is available 24/7 via email, ensuring expert guidance every step of the way.

This course is ideal for business analysts, data enthusiasts, finance professionals, and managers who want to apply machine learning techniques using Excel. It’s also perfect for beginners who wish to explore predictive analytics without coding.
No prior knowledge of machine learning or programming is required. A basic understanding of Microsoft Excel and an interest in data analysis will help learners maximise the course’s benefits.

Graduates can pursue roles such as Data Analyst, Business Intelligence Specialist, or Financial Modeller. The skills gained also prepare learners for advanced studies in data science, analytics, or artificial intelligence.

    • Understanding Machine Learning Concepts 00:10:00
    • Key Types of Machine Learning Explained 00:10:00
    • Introduction to Linear Regression 00:10:00
    • Basics of Linear Regression in Practice 00:10:00
    • Visualising Linear Relationships in Excel 00:10:00
    • Excel Spreadsheet Preparation for Regression 00:10:00
    • Running Your First Linear Regression in Excel 00:10:00
    • Understanding Ordinary Least Squares (OLS) 00:10:00
    • Reading Regression Output – Part 1 00:10:00
    • Explaining Variability in Data 00:10:00
    • Reading Regression Output – Part 2 00:10:00
    • Reading Regression Output – Part 3 00:10:00
    • Exploring Multiple Regression Analysis 00:10:00
    • Applying Multiple Linear Regression in Excel 00:10:00
    • Analysing Output from Multiple Regression 00:10:00
    • Introduction to OLS Model Assumptions 00:10:00
    • OLS Assumption: Linearity 00:10:00
    • OLS Assumption: No Endogeneity 00:10:00
    • OLS Assumptions: Normality & Homoscedasticity 00:10:00
    • OLS Assumption: No Autocorrelation 00:10:00
    • OLS Assumption: No Multicollinearity 00:10:00
    • Using Dummy Variables in Regression 00:10:00
    • Making Data-Driven Predictions in Excel 00:10:00
    • What Is Logistic Regression? 00:10:00
    • Transitioning from Linear to Logistic Models 00:10:00
    • Logistic Function vs Logit Function 00:10:00
    • Performing Logistic Regression in Excel 00:10:00
    • How to Interpret Logistic Regression Coefficients 00:10:00
    • Case Study: Logistic Regression with XReal 00:10:00
    • Logistic Regression Output Explained – Part 2 00:10:00
    • Understanding ROC Curve and Model Evaluation 00:10:00
    • Dealing with Underfitting and Overfitting 00:10:00
    • Exam of Excel-Powered Machine Learning: From Fundamentals to Predictive Analytics 00:50:00
    • Premium Certificate 00:15:00
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Yes, our premium certificate and transcript are widely recognized and accepted by embassies worldwide, particularly by the UK embassy. This adds credibility to your qualification and enhances its value for professional and academic purposes.

Yes, this course is designed for learners of all levels, including beginners. The content is structured to provide step-by-step guidance, ensuring that even those with no prior experience can follow along and gain valuable knowledge.

Yes, professionals will also benefit from this course. It covers advanced concepts, practical applications, and industry insights that can help enhance existing skills and knowledge. Whether you are looking to refine your expertise or expand your qualifications, this course provides valuable learning.

No, you have lifetime access to the course. Once enrolled, you can revisit the materials at any time as long as the course remains available. Additionally, we regularly update our content to ensure it stays relevant and up to date.

I trust you’re in good health. Your free certificate can be located in the Achievement section. The option to purchase a CPD certificate is available but entirely optional, and you may choose to skip it. Please be aware that it’s crucial to click the “Complete” button to ensure the certificate is generated, as this process is entirely automated.

Yes, the course includes both assessments and assignments. Your final marks will be determined by a combination of 20% from assignments and 80% from assessments. These evaluations are designed to test your understanding and ensure you have grasped the key concepts effectively.

We are a recognized course provider with CPD, UKRLP, and AOHT membership. The logos of these accreditation bodies will be featured on your premium certificate and transcript, ensuring credibility and professional recognition.

Yes, you will receive a free digital certificate automatically once you complete the course. If you would like a premium CPD-accredited certificate, either in digital or physical format, you can upgrade for a small fee.

Course Features

Price

Original price was: ر.س2,470.66.Current price is: ر.س75.58.

Study Method

Online | Self-paced

Course Format

Reading Material - PDF, article

Duration

6 hours, 25 minutes

Qualification

No formal qualification

Certificate

At completion

Additional info

Coming soon

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