You're looking for an entire course on understanding Retail Analytics to drive business decisions involving production schedules, inventory management, promotional mail optimization, store layouting, estimating roght bundle price, customer valuation and lots of other parts of the business., right?
You've found the proper Marketing & Retail Analytics: Strategies & Models in Excel! This course teaches you everything you would like to understand about different forecasting models, Market Basket analysis, RFM (recency, frequency, monetary) analysis, Customer Valuation methods & Price Bundling analysis and the way to implement these models in Excel using advanced excel tool.
After completing this course you'll be able to:
Implement forecasting models like simple linear, simple multiple correlation , Additive and multiplicative trend and seasonality model and lots of more.
Perform market basket analysis and calculate lift to derive a store layout that maximizes sales from complementary products.
Do RFM (Recency, frequency, and monetary value) analysis to assist you maximize take advantage of promotional mail campaigns.
Increase revenue/profit of your firm by implementing revenue / profit maximizing bundle price point using Excel solver Add-in
Understand the worth of your customers to form intelligent decisions on the way to spend money acquiring them
Confidently practice, discuss and understand different retail analytics models employed by organizations
How this course will help you?
A Verifiable Certificate of Completion is presented to all or any students who undertake this Marketing & Retail Analytics: Strategies & Models in Excel course.
If you're a business manager or an executive, or a student who wants to find out and apply forecasting models in world problems of business, this course will offer you a solid base for that by teaching you the foremost popular forecasting models and the way to implement it.
Why do you have to choose this course?
We believe teaching by example. This course is not any exception. Every Section’s primary focus is to show you the concepts through how-to examples. Each section has the subsequent components:
Theoretical concepts and use cases of various forecasting models
Step-by-step instructions on implement forecasting models in excel
Downloadable Excel file containing data and solutions utilized in each lecture
Class notes and assignments to revise and practice the concepts
The practical classes where we create the model for every of those strategies are some things which differentiates this course from the other course available online.
What makes us qualified to show you?
The course is taught by Abhishek and Pukhraj. As managers in Global Analytics consulting company , we've helped businesses solve their business problem using Analytics and that we have used our experience to incorporate the sensible aspects of selling and data analytics during this course
We also are the creators of a number of the foremost popular online courses - with over 170,000 enrollments and thousands of 5-star reviews like these ones:
This is excellent , i really like the very fact the all explanation given are often understood by a layman - Joshua
Thank you Author for this excellent course. you're the simplest and this course is worth any price. - Daisy
Our Promise
Teaching our students is our job and that we are committed thereto . If you've got any questions on the course content, practice sheet or anything associated with any topic, you'll always post an issue within the course or send us an immediate message.
Download Practice files, take Quizzes, and complete Assignments
With each lecture, there are class notes attached for you to follow along. you'll also take quizzes to see your understanding of concepts. Each section contains a practice assignment for you to practically implement your learning.
What is covered during this course?
Understanding how future sales will change is one among the key information needed by manager to require data driven decisions. during this course, we'll explore how one can use forecasting models to
See patterns in statistic data
Make forecasts supported models
Let me offer you a quick overview of the course
Section 1 - Introduction
In this section we'll study the course structure
Section 2 - Basics of Forecasting
In this section, we'll discuss about the essential of forecasting and that we also will learn the simplest thanks to create simple rectilinear regression model in Excel
Section 3 - Getting Data Ready for Regression Model
In this section you'll learn what actions you would like to require a step by step to urge the info then prepare it for the analysis these steps are vital .
We start with understanding the importance of business knowledge then we'll see the way to do data exploration. We find out how to try to to uni-variate analysis and bi-variate analysis then we cover topics like outlier treatment and missing value imputation.
Section 4 - Forecasting using Regression Model
This section starts with simple rectilinear regression then covers multiple rectilinear regression .We have covered the essential theory behind each concept without getting too mathematical about it in order that you understand where the concept is coming from and the way it's important. But albeit you do not know it , it'll be okay as long as you find out how to run and interpret the result as taught within the practical lectures.
We also check out the way to quantify models accuracy, what's the meaning of F statistic, how categorical variables within the independent variables data set are interpreted within the results.
Section 5 - Handling Special events like Holiday sales
In this section we'll find out how to include effects of Day of Week Effect, Month Effect or any special event such Holidays, pay day etc.
Section 6 - Identifying Seasonality & Trend for Forecasting
In this section we'll study trends and seasonality and the way to use the Solver to develop an additive or multiplicative model to estimate trends and seasonality. we'll also find out how to use moving averages to eliminate seasonality to simply see trends in sales.
Section 7 - Market Basket Analysis and Lift
In this section we'll study market basket analysis and find out how to calculate lift to derive a store layout that maximizes sales from complementary products.
Section 8 - Recency, frequency, and price analysis
In this section we'll learn techniques to perform RFM (Recency, frequency, and monetary value) analysis to assist you maximize take advantage of promotional mail campaigns.
Section 9 - Recency, frequency, and price analysis
In this section we'll learn price bundling techniques and find out how to extend revenue/profit of your firm by implementing revenue / profit maximizing price point using Excel solver Add-in
Section 10 - Recency, frequency, and price analysis
In this section, we'll discuss about the essential of concepts of Customer Lifetime value and find out how to make excel model to seek out lifetime customer value and perform sensitivity analysis to capture variations in lifetime value under different scenarios.
Section 11 - Excel crash program
If you're new Excel, or you've played around with it but want to urge easier with Excel's advanced features required for this course. Either way, this section are going to be great for you to revise your rusty excel skills .
I am pretty confident that the course will offer you the required knowledge and skills to right away see practical benefits in your work place.
Go ahead and click on the enroll button, and I'll see you in lesson 1
Cheers
Start-Tech Academy
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