Udemy

Machine Learning in Ms. Excel

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  • 994 Students
  • Updated 1/2022
  • Certificate Available
4.3
(19 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
2 Hour(s) 10 Minute(s)
Language
English
Taught by
Ed Spot
Certificate
  • Available
  • *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
4.3
(19 Ratings)
2 views

Course Overview

Machine Learning in Ms. Excel

English

Hi and welcome to the Machine Learning with Excel course,

Machine Learning is shaping our everyday lives and it one of the most important features of innovations

in technology. The purpose of this course is to equip you with the newest methods that are applied in

Machine Learning by Using Microsoft Excel. It will introduce you to a different way of thinking about

data science and machine learning. This is a good way to start a career in Machine Learning since you

will understand some initial concepts and gain some hands-on experience on it. I am extremely happy

share with you everything that I know about Machine Learning with Excel. I promise you it is going to be

worth it and you will gain a valuable set of knowledge and skills by attending this course.

This is the only course in Udemy where Machine Learning is applied in Microsoft Excel. The reason why

we chose to go with Excel is because we know that many of you are already familiar with it. We will start

from ground zero and together we will continuously develop new skills from the beginning to the end of

this course. In this course together we will implement a complete data science project from start to

finish using Credit Risk Data. For this course we have data for around 40,000 consumers and a lot of

characteristics about them such as: their level of education, their age, their marital status, where they

live, if they own a home, and other useful details. We will get our hands dirty with these data and

explore them in depth and you can practice all this on your own too. Moreover, you will gain access to

valuable resources such as lectures, homework, quizzes, slides as well as some literature review in

regard to the modelling approaches. Let’s go ahead now and see how the course structure looks like!

Course Content

  • 8 section(s)
  • 29 lecture(s)
  • Section 1 Introduction
  • Section 2 Theoretical Background for Credit Risk
  • Section 3 Data Overview
  • Section 4 Preprocessing Data
  • Section 5 Continuous Variables
  • Section 6 Choosing Variables for Machine Learning Algorithm
  • Section 7 Running the Machine Learning Algorithm
  • Section 8 Validation of Results

What You’ll Learn

  • Machine Learning Algorithms in Excel
  • Data Clustering such as Fine Classing and Weight of Evidence
  • Data Wrangling and Transformation
  • Mathematics for Machine Learning
  • Credit Risk Modelling and Validation
  • Build a complete Credit Risk Model with Machine Learning by Using Excel
  • Impress interviews by adding a special skill in your Resume


Reviews

  • I
    Imam Marzuki
    4.0

    good

  • L
    Lawal Riliwan Akanji
    4.5

    This course provides the basis for understanding key statistical and machine learning concept such as logistic regression.

  • M
    Michael Bell
    4.5

    Amazing Course. It is clear and explains in depth each of the concepts of Machine Learning

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