Book Online Tickets for Marketing Analytics Course by Henry Harv, noida. 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 ana

Marketing Analytics Course by Henry Harvin Education

 

  • Marketing Analytics Course

    Marketing Analytics Course

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About The Event

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 :-

 

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?

 

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

 

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