Marketing Analytics and Retail Business Management at UDEMY Overview
Duration | 11 hours |
Total fee | ₹1,920 |
Mode of learning | Online |
Credential | Certificate |
- Overview
- Highlights
- Course Details
- Curriculum
- Entry Requirements
- + 1 more item
Marketing Analytics and Retail Business Management at UDEMY Highlights
- Earn a Certificate of completion from Udemy
- Get a 30 days money back guarantee on the course
- Get full lifetime access of this course material
- Learn from 4 articles and 2 downloadable resources
Marketing Analytics and Retail Business Management at UDEMY Course details
- For anyone who id curious to learn the analytics behind most popular marketing stategies
- Become proficient in using powerful tools such as excel solver to create forecasting models
- Learn how to estimate the trend and seasonal aspects of sales
- Perform market basket analysis and calculate lift to derive a store layout that maximizes sales from complementary products
- Understand how to interpret the result of Linear Regression model and translate them into actionable insight
- Implement forecasting models such as simple linear, simple multiple regression, Additive and multiplicative trend and seasonality model and many more, required for devising marketing analytics strategies effectively
- Perform marketing analytics and 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 help you maximize profit from promotional mail campaigns
- Increase revenue/profit of your firm by implementing revenue / profit maximizing bundle price point using marketing analytics tool like Excel solver Add-in
Marketing Analytics and Retail Business Management at UDEMY Curriculum
Section 1 - Introduction
Section 2 - Basics of Forecasting
Section 3 - Getting Data Ready for Regression Model
Data Exploration
The Data and the Data Dictionary
Univariate analysis and EDD
Discriptive Data Analytics in Excel
Outlier Treatment
Identifying and Treating Outliers in Excel
Missing Value Imputation
Identifying and Treating missing values in Excel
Section 4 - Forecasting using Regression Model
Section 5 - Handling Special events like Holiday sales
In this section we will learn how to incorporate 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 will learn about trends and seasonality and how to use the Solver to develop an additive or multiplicative model to estimate trends and seasonality. We will also learn how to use moving averages to eliminate seasonality to easily see trends in sales.
Marketing Analytics and Retail Business Management at UDEMY Entry Requirements
- Prerequisites : Basic understanding of Excel operations like opening, closing and saving a file
- Not mentioned
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