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 the recommendation engines and the influence of demands and needs as well as wants on consumer’s behaviour. You will also study customer segmentation and target positioning in marketing analytics. Register for this course today and take your marketing analytics skill to the next level.

What You Will Learn In This Free Course

Introduction to R Programming

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.

Consumers Wants

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

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 Focusing and Pricing

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.

Understanding Pricing

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.

Marketing Mix Models and Advertising Model

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.

Diploma in Marketing Analytics – First Assessment

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

Recommendation Engine and Retail Analysis

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.

RFM and Market Basket Analysis

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.

Customers Churn and Customer Service Value

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 and Sentiment Analytics

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.

Sentiment Analytics

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 and Excel Dashboard

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.

Diploma in Marketing Analytics – Second Assessment

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

Course assessment