Machine Learning in Excel

Introducing you to the essentials of machine learning in Excel with beginner-friendly, hands-on projects. You will learn how to use linear and logistic regression, k-means clustering, decision trees, and Azure ML Studio.

with Ivan Kitov

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Course Overview

This course focuses on predictive modeling and enters multidimensional spaces that require an understanding of mathematical methods, transformations, and distributions. We will introduce you to all these concepts, gradually blending them into complex means of analysis such as k-means clustering and decision trees, while helping you hone your Excel skills.

70 High Quality Lessons
22 Practical Tasks
6 Hours of Video
Certificate of Achievement

Skills you will gain

data analysisexcelmachine learningtheory

What You'll Learn

This course will help you master predictive modeling with multiple different approaches such as linear regression, logistic regression, cluster analysis, and decision trees in Excel. By the end of the course, you’ll understand the intuition behind machine learning algorithms and will be able to apply your knowledge in practice.

Perform linear regression
Grasp logistic regression 
Implement K-means clustering
Approach decision trees
Explore the future of machine learning in the cloud
Upgrade your Excel skills

Curriculum

“In the last 10 years machine learning has redefined industries such as finance, banking, and investments. This course will help you learn the advanced statistical techniques employed by successful data analysts. You will grasp the intuition behind regression analysis, clustering, and decision trees without having to code at all! Excel is the perfect environment to understand and apply different machine learning techniques in an easy-to-follow way.”

Machine Learning in Excel

with Ivan Kitov

Start Course