Excel Solver for Beginners (2 full examples + methodology)
4.5 (4 ratings)
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26 students enrolled
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Excel Solver for Beginners (2 full examples + methodology)

Background information on linear programming, 2 complete examples, and plenty of resources to further your learning!
4.5 (4 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
26 students enrolled
Last updated 9/2015
English
Current price: $10 Original price: $25 Discount: 60% off
4 days left at this price!
30-Day Money-Back Guarantee
Includes:
  • 32 mins on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • Install and enable Solver add-in within MS Excel
  • Formulate and solve a linear program using Solver in Excel
  • Understand the components and objective of a linear program (using Solver/Excel)
  • Solve for linear optimization graphically
View Curriculum
Requirements
  • MS Excel will be required to follow along.
Description

This course gives an overview of linear programming (definition, background, use cases) and then shows how to solve a linear program using Microsoft Excel through 2 complete examples. Below is a complete outline of the course:

Lecture 1: Introduction: Linear programming in Excel - course overview + use cases

  • —Quick introduction + our backgrounds

Lecture 2: Enabling Solver add-on for linear optimization

  • —Enabling Solver add-on in MS Excel

Lecture 3: What is linear programming?

  • —What linear programming is comprised of, and the general framework of solving for a linear optimization.

Lecture 4: Examples of when to use linear programming

Lecture 5: How to identify optimal solutions in linear programming graphically

  • —We will walk you through determining feasible and optimal solutions in linear programming given a graph.

Lecture 6: Linear programming example 1 - 'taking a test' (optimizing score)

  • —Test score optimization problem (our first example)

Lecture 7: Linear programming example 2 - 'Stanley's glass'

Students joining this course should have access to MS Excel, and a willingness to learn!

Who is the target audience?
  • Students interested in learning how to use Solver and create linear programs in Excel. This is an introductory course targeted at individuals with little to no experience using Solver for linear optimization.
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Curriculum For This Course
+
Introduction: Linear programming in Excel - course overview + use cases
2 Lectures 05:16

In this lecture, we will quickly introduce ourselves and discuss our backgrounds.

Next, we'll cover the targeted audience for this course, how the course is laid out, and what you can expect to learn!

Preview 03:11

Briefly demonstrating how to enable the Solver add-on within MS Excel, as it is necessary that this add-on is enabled in order to formulate an LP.

Preview 02:05
+
Components of linear programming
3 Lectures 03:21

In this lecture, we'll discuss what linear programming is comprised of, and the general framework of solving for a linear optimization.

Preview 00:37


We will walk you through determining feasible and optimal solutions in linear programming given a graph.

Preview 01:15
+
Solving a basic optimization problem using linear programming in Excel
1 Lecture 09:14

Our first complete example! We will cover an optimization problem where a student is looking to optimize his test score given a set of constraints. A great first example and introduction to the power of an LP.

Preview 09:14
+
Solving a more complex optimization problem using linear programming in Excel
1 Lecture 10:56

Here we will dive into a more complex example, where ***** descriptor****

Linear programming example - 'Stanley's glass'
10:56
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Conclusion + additional resources
1 Lecture 03:32
Conclusion, further learning, and our contact information
03:32
About the Instructor
Erik Rood
4.0 Average rating
151 Reviews
1,625 Students
5 Courses
Analyst at Google

Hi! My name is Erik. I currently work as an analyst at Google. I have a strong interest in data visualization and analysis, so the content I publish here will be more or less related to that.

Feel free to reach out via email with any questions, hope you find the courses useful!

Crystal Wesnoski
4.4 Average rating
14 Reviews
76 Students
2 Courses
Analyst at Pebble Tech

I'm a 2014 graduate of the University of Michigan, with my BS in Industrial and Operations Engineering. Upon graduation, I spent about 8 months at The Dow Chemical Company where I optimized chemical production on reactor assets. I am Pebble Tech as a Product Analyst. I also have created & manage a data-centric blog in efforts to learn some new tools for analysis and further refine my skills.