Certified Marketing Analytics Practitioner Course

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  • 145 Ratings


Program Overview

  1. 4-days / 32-hours Online Training and Certification Course producing competent Marketing Analytics Practitioners
  2. Delivered by Senior Industry Professionals having extensive experience as practitioner and trainer of Marketing Analytics. These practitioners are also empanelled as domain experts with Henry Harvin Education
  3. Distinguish your profile with global credential of ‘Certified Marketing Analytics Practitioner’ and showcase yourself as a certified marketing analytics professional by using the hallmark of CMAP next to your name
  4. Get 24x7 access to Henry Harvin’s high-tech LMS platform (App / Mobile App Based) with abundant content on Marketing Analytics (ppt, pdf, videos, articles, important links, data etc)
  5. Gain hands-on experience of marketing analytics with industry standard tool & techniques applicable in real situations
  6. Practice real-life case studies, strategies and examples through above tools and techniques in session activities, videos and presentation slides (ppts.)
  7. Get 100% Placement and Internship Support exclusively entitled for CMAP Professionals

Learning Outcomes:
Provide orientation to:

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

Course Differentiation:
1. Economical program for fast learning of practically used concepts in marketing analytics
2. Tool-based demonstration of the application of analytics to the marketing data
3. Brings multiple practical case-based examples, scenarios and exercises directly from industry practitioners themselves

  About the Trainer:
  Certified Marketing Analytics Practitioner Course is delivered by Empanelled Domain Experts of Henry Harvin Education.
  These Industry Professionals have extensive experience as practitioners and trainers of marketing analytics.



11 Feb, 18 Feb, 25 Feb, 4 March & 11 March 2018 (All Sundays) Live Virtual Classroom 20 Hours INR12,500.00

6th,12th, 13th, 19th & 20th May 2018 Live Virtual Classroom 20 Hours INR12,500.00

15th, 22nd, 29th July & 5th August 2018 Live Virtual Classroom 32 Hours INR15,000.00

On-Campus On-Campus 32 Hours INR15,000.00

9th, 10th, 16th & 17th Feb 2019 Live Virtual Classroom 32 Hours INR15,000.00



    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


    • 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
What is Marketing Analytics?

Marketing analytics is the practice of measuring, managing and analysing marketing performance to maximize its effectiveness and optimize return on investment (ROI). Understanding marketing analytics allows marketers to be more efficient at their jobs and minimize wasted marketing spending.

What is the Marketing Analytics Course offered by Henry Harvin Education?

It orients the participants towards tool-based analytics that can be implemented to analyse the past ventures and take informed and calculated decisions regarding the next marketing ventures.

How is the program structured?

The program is structured day-wise – Day 1: Introduction to Analytics; Day 1 & 2: Multi-channel Segmentation; Day 2 & 3: Regression; Day 3 & 4: Decision Tree and Clustering; Day 4: Wrap – up.

What is the fee for the program?

The cost for the 4-day 3-hour program is INR 15000/- (including Training fees,Examination fees, Evaluation fees and Certification fees).

What are the discounts available?

Group and corporate discounts are available.

What are the discounts available?

Group and corporate discounts are available.

What are the pre-requisites for the program?

There is as such no pre-requisite/eligibility for the program.

Are there any tools/projects involved?

Practical exercises, real-life case studies and assignments are included.

Who will be the faculty?

Delivered by senior professionals from industry with 10+ years of experience in industry and training.

Is this program accredited to someone?

This program is a training workshop to make the candidates aware and skilled in the various tools in marketing analytics.

Is it autonomous?

Yes, it is.

How is Marketing Analytics useful for me? I’m from XYZ industry.

Please refer to the ‘For Whom’ clause in the brochure.

How can I pay?

You can pay through online mode (Credit Card, Debit Card or Net Banking).

I am a student. Can I apply to marketing analytics roles in companies after the course?

Yes, you may. You will gain the adequate knowledge and skills during the training program.

Will there be any placement/internship assistance?

Yes, there is internship/placement support.

Will I get invoice? I need reimbursement from my company.

Yes, you will get invoice for the same.

My company is sponsoring me for the program. Can I pay through cheque or DD?

Yes, you may pay through cheque of DD as well.

Do I need to study anything before attending the program?

You need not. However, a basic knowledge about MS Excel can come very handy.

Do I need to carry lunch?

You need not carry lunch. The lunch and other refreshments will be taken care of by us.


Henry Harvin

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Henry Harvin

Don't worry, we don't believe in spamming !
Henry Harvin

Don't worry, we don't believe in spamming !
Henry Harvin

Don't worry, we don't believe in spamming !
How it is beneficial for you?

Advantages to different domains and industries

Learn More


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