Marketing Analytics Course by Henry Harvin Education

Henry Harvin Education introduces 5-days / 20-hours Live Virtual Training and Certification course on 'Certified Marketing Analytics Practitioner' program that equips participants with explore+analyze+solve marketing problems using popular analytics tools such as R & Advanced Excel. This enables marketers to understand analytics-based marketing to drive ROI for their marketing campaigns.

About the Course

• Duration/Mode/Certificate: 5 days/20 hours Live Virtual Training and Certification course creating competent Marketing Analytics professionals – Certified Marketing Analytics Practitioner (CMAP)
• LMS: 24 x 7 access to Henry Harvin's® LMS platform with abundant content on Marketing Analytics including study material (PPTs and PDFs), videos, case studies, examples, resource library and related more
• Employment Support: Get Placement and Internship support
• Trainer: Delivered industry professionals having extensive experience as practitioners of marketing analytics with international companies. These professionals are also empanelled as domain expert with Henry Harvin Analytics Academy
• Tools: R, Advanced Excel

Program Glimpse :-

• Official Facebook Page

Curriculum

Module 1: Introduction

• What is Analytics
• Types of Analytics
• Marketing meets Analytics
• Organisations using Marketing Analytics                                                                                                               

Data Collection & Data Understanding – Basics

• Data Dictionary
• Data types
• Data Handling
• Outlier Treatment
• Handling Missing Values
  Marketing Data using - EXCEL
• MS Excel Functions
• Pivot Tables
• MS Excel Charts
• Case Study

R Programming

• R-studio
• Understanding Basics
• Packages in R
• Swirl R
• Summarise & slice data
• Case Study

 Linear Regression

• What is regression?
• Introduction to Linear Regression
• Applications & examples from the marketing world
• Case Study
• Understanding Data using R
• Uni-variate analysis
• Bi-variate analysis
• Best fit line – regression
• R-square, Adjusted R-square concept
• Test vs. Train datasets ( concept )
• Running the regression in R
• Linear Equation & significant variables
• Assumptions of Linear Regression
• Testing Multi-collinearity
• Heteroskedasticity
• Case Study

Module 2: Logistic Regression

• Classification techniques & business problems
• Intro to Logistic Regression models
• Why Logistic vs. Linear models
• Odds Ratio
• Probability of an event
• Applications of Logistic regression models
• Case Study
• Generalized Linear models using R
• Shortlist the significant variables
• Test vs. Train data sets
• Validation of the model – Confusion matrix
• Evaluate the model and give business recommendations.

Module 3: Decision Tree 

• Introduction
• Applications & industry examples
• Types of Decision Tree ( CART & CHAID )
• Splitting Algorithms
• Case Study
• R-code
• Interpretation
• Final o/p
• Case Study: Net Promoter Score (understand NPS & its Promoters by uncovering the relationship between the variables to devise customer satisfaction improvement strategy)
• R-code
• Interpretation
• Final o/p

Module 4:  Clustering

K-Means

• Marketing analytics & unsupervised techniques
• Why and Where to use Clustering
• Clustering methods and examples
• K-means Clustering Algorithm
• K-means – Cluster the given set of customer base to help in segmentation to help identify different marketing campaigns for each cluster
• Practice the k-means using R codes

RFM- Recency Frequency Monetary models

• Identify differences in behaviour of
• Online shoppers
• In-store shoppers
• Multi-channel shoppers

Market Basket Analytics 

• Intro to the Basics
• Applications
• Algorithm
• Case Study
• R-code
• Interpretation
• Final o/p

Framework to solve analytics case studies

• ​​CRISP – DM & other known frameworks

To view detailed curriculum, Click Here to download course brochure

Learning Outcomes:

• Explore, Analyse & Solve Marketing Problems using Analytics Tools like R & Advanced Excel.
• Understand 'What' & 'How' aspects of Data Collection
• Get insights from Industry Best Practices for Marketing Measurement & Analysis
• Communicate Marketing Objectives in a focused manner with data analysts & help evaluate results of data analysis better
• Develop Goal Oriented Marketing Strategies
• Gain Full View of Customers across Different Channels by Accessing+Integrating+Analysing Customer Data through Multiple Sources & Engage Customers in Real Time
• Understand Affinity of Product by Analyzing Transactional data
• Understand Analytics-Based- Marketing to drive ROI for your Marketing Campaigns
• Take Actionable Data Driven Decisions to increase market share
• Ultimately, identify what is working and what is not working for your Marketing Campaigns

Why choose us?

• Ranked No.1 Online Marketing Analytics Course by Trainings360
• Ranked No.2 Marketing Analytics Institute in India by Trainings360

Schedule, Fees & Location

• Dates: 6th,12th, 13th, 19th & 20th May 2018
• Day:5 Weekends Days (Saturday & Sunday)
• Timings:8pm-12am(Saturdays), 4pm-8pm (Sundays)
• Location: Delhi
• Fees:  INR 12500/- ((including 18% GST)
• Last Date: Seat availability on first come first serve basis only. First 20 registration only
• Payment Mode: Click Here

Connect with Counselors of Henry Harvin Education For More Information!