Learning Outcomes

Understanding R programming and Installation

Functions and their Syntax

Matrix and Data Frame

Data Manipulation

Handling Basic Data Analytics

Creating a Bar Plot

Lesson Summary

In this module, you will be introduced to the concept of R programming and how it can be used for marketing analytics purposes. You will also be introduced to the functions and reasons for selecting R programming, as well as how you can download the program for practical use.

Wants, Needs and Demands in Marketing

Conjoint Analysis in Consumers Wants

Rating-Based of Conjoint Analysis

Pricing in Conjoint Analysis

Choice Modeling Method

Choice Based Conjoint

In this module, you will be introduced to the influence of the different key marketing concepts that are considered in marketing analytics. You will also be introduced to the importance of needs, wants, desire as well as demand. The module explains the different factors of consumers' wants.

Segmentation, Targeting and Positioning Methodology

Segmentation, Targeting and Positioning Concepts

Steps in Segmentation, Targeting and Positioning

Solving a Problem with Clustering Methods

Application of Multiple Techniques

In this module, you will be introduced to the concept of customer segmentation, targeting positioning, as well as geographic segmentation. You will also be introduced to the features of segmentation, targeting, as well as positioning in marketing analytics.

Demand and Sales Forecasting

Bundle Pricing

Using Analytics to Forecast a Demand

Technology Adoption Model

In this module, you will be introduced to the concept of demand focusing, as well as pricing in marketing analytics. You will also be introduced to the functions of demand focusing, pricing, as well as how to use the major predictor of sales in marketing analytics.

Pricing and Skimming

Power Block Pricing

Solving Pricing Problems

Price Base Segmentation

Markdown Pricing and Dynamic Pricing

Price Bundling

Price Sales Promotion

In this module, you will be introduced to the concept of pricing in marketing analytics, as well as how to approach a situation where there are multiple prices at multiple periods. You will also be introduced to the attributes of pricing, as well as the functions of other methods of pricing.

Micro Level Analysis

Linear Model

Impact of the Advertising Model

Advertising Models Equation

Media Data

In this module, you will be introduced to marketing mix models, as well as the advertising models in marketing analytics. You will also be introduced to the utilization of the macro-level cost analysis in marketing mix models, as well as how to understand when marketing decisions affect customers.

First Assessment

You must score 80% or more to pass this assessment.

Recommendation Engine

Collaborative Filtering

Hands-On Item Collaborative Filtering

User Collaborative Filtering

Application of Recommendation Engine

Working with Sparse Datasets

In this module, you will be introduced to the concept of recommendation engine and retail analytics in marketing. You will also be introduced to the features of collaborative filtering in marketing analytics as well as the problems faced in the retail analysis.

Recency Frequency Monetary Technique

Recency Frequency Monetary Analysis in R

Market Basket Analysis

Data Mining Technique

Market Basket Analysis Hands-On

In this module, you will be introduced to the concept of recency frequency monetary and market basket analysis, as well as the use of RFM and market basket analysis for different life situations.  You will also be introduced to the methods of doing simple analytics that is not focused on predictions.

Customer Churn Prediction

Customer Churn Control

Customer Switching Behavior

Customer Lifetime Value

Customer Lifetime Value in Specific Cases

Survival Analysis in Customer Churn

In this module, you will be introduced to customer service value as well as the importance of the customer churn approach in marketing analytics. You will also be introduced to the various nuances that can be used to predict customer churning behavior.

Text Mining Application

Understanding Tokenization

Text Mining in Marketing

Spam Detection

R Programming in Naive Bayes Algorithm

In this module, you will be introduced to text mining and various applications of text mining, as well as natural language processing in analytics, as well as how it applies to Marketing Analytics. You will also be introduced to the concept of tokenization severely limits.

Naïve Bayes Algorithm in Sentiment Mining

Algorithms for Sentiment Analysis

Sentiment Mining and Text Mining

Topic Modeling in Sentiment Analysis

Sentiment and Emotion Mining Approach

In this module, you will be introduced to the concept of sentiment analytics, as well as how to use the Naive Bayes for sentiment mining. You will also be introduced to the use of certain libraries that have been pre-developed by researchers for various types of applications.

Social Network Analysis for Marketing Management

Manufacturing Company Case Study in Marketing

Solving a Case with Social Network Analysis

Social Network Analysis in Real Life Situation

Creating an Interactive Dashboard

Creating a Dashboard from a Dataset

In this module, you will be introduced to the social network analysis for marketing, as well as the use the social network analysis to create connections between people and their business decisions. You will also be introduced to the application of the analysis for manufacturing companies.

Second Assessment

Diploma in Marketing Analytics - Final Assessment

Learn how to use different techniques in marketing analytics and market mix models in this free online course.

Diploma in Marketing Analytics

Diploma in Marketing Analytics is a free online course that offers an in-depth understanding of R programming and other marketing tools. You will learn about recommendation engines and the influence of demands and needs as well as wants on consumer behaviour. You will also study customer segmentation and target positioning in marketing analytics. Register for this course today and take your marketing analytics skills to the next level.

Introduction to R Programming and Consumers Wants - Course Assessment

Learn more about R programming techniques and the consumer wants approach in marketing from this free online course.

Introduction to R Programming and Consumers Wants in Marketing Analytics

Introduction to R Programming and Consumer Wants in Marketing Analytics is a free online course that offers an in-depth understanding of R programming and how to understand consumer wants. You will learn about the different functions and their syntaxes, the importance of the matrix, and data marketing in marketing analytics.