---
title: Marketing Analytics Certification Course | Amity Online
description: Learn marketing analytics with Amity Online. Master data-driven strategies, customer insights, and ROI optimization with real-world case studies.
---

# Certificate in Marketing Analytics

Post successful completion, apply for paid internship

In Collaboration With

Transform your career in marketing and strategy with the Certificate in Marketing Analytics program. Designed by industry leaders, the course of study combines expert insights with hands-on learning to equip you with the analytical skills needed to thrive in marketing. Whether you're a seasoned professional or a budding marketer, this course provides the tools and techniques to make data-driven decisions, predict trends, and drive impactful results—all at your own pace.  
Here’s what to expect from this program:

**Master Marketing Analytics Fundamentals:** Gain deep knowledge of segmentation, targeting, positioning, market research, and A/B testing.

**Develop Advanced Excel Skills:** Learn to analyze and model data with Excel tools like VLOOKUP, pivot tables, and scenario manager.

**Analyze Customer Lifetime Value:** Calculate CLTV and perform RFM analysis to understand and enhance customer relationships.

**Learn Python for Marketing:** Use Python via Jupyter Notebook to automate and analyze data.

**Apply Machine Learning Techniques:** Leverage ML models for classification, data visualization, and EDA in marketing contexts.

**Discover Association Rule Learning:** Identify market trends and patterns with Apriori and FP-growth algorithms.

**Gain Internship Opportunities:** Apply for a paid internship after you complete the program.

**Experience Flexible Learning:** Learn anytime, anywhere with our expert-led recorded lectures.

\*Paid internship will be as per organization's norms or on a first-come, first-serve basis.

Hurry! First batch intake closes on 30 Aug 2026 — only 5 internship spots left!

## Skills you'll gain

###### Positioning Strategies

Develop data-driven marketing positioning frameworks.

###### Advanced Excel

Master Excel tools for efficient marketing data analysis.

###### CLTV and RFM Analysis

Optimize customer retention using RFM and CLTV methods.

###### Python for Analytics

Automate data analysis with Python and Jupyter Notebook.

###### A/B Testing Expertise

Design and analyze A/B tests to optimize marketing campaigns.

###### Data Visualization

Create impactful dashboards using Tableau, Power BI, and Python.

###### Exploratory Data Analysis

Extract insights by analyzing and interpreting datasets.

###### Industry-relevant Skills

Real-world professional experience through an internship\*.

## Tools and Platforms covered

## 

1\. Introduction to Marketing Analytics   

Gain a strong foundation in marketing analytics and learn to create impactful strategies. You'll explore segmentation, targeting, positioning, market research, advanced techniques like A/B testing, and association rule learning to make data-driven decisions.

1.  What is Marketing Analytics?
2.  Types of Marketing Analytics
3.  Marketing Strategies
4.  Segmentation, Targeting, Positioning
5.  Market Research Techniques
6.  Association Rule Learning
7.  A/B Testing in Marketing Analytics

## 

 2. Basics of Excel for Marketing Analytics

## 

 3. CLTV and RFM

## 

 4. Basics of Python using Jupyter Notebook 

## 

5\. Machine Learning for Marketing Analytics: Techniques and Applications

## 

6\. Association Rule

## Earn and Share Your Certificate

## Meet our top-ranked faculty

###### Jagadish GS

Analyst, Advisory KPMG India

## Amity Online Advantages: Why We're the Right Fit for You

Learn from Analytics Experts and Industry Veterans

Learn from experienced faculty and industry professionals who specialize in business intelligence and marketing. Our experts help you build dynamic skills and knowledge that meet industry standards.

Real-World Case Studies and Data-Driven Projects

Gain hands-on experience making actionable data-driven marketing decisions that reflect real-world challenges. This practical approach prepares you to make data-driven decisions in any business setting.

Flexible Learning for Busy Professionals

Study at your own pace with a flexible curriculum designed to fit around your schedule, making it ideal for working professionals looking to upskill.

Certification with Industry Recognition

Receive a certification in Marketing Analytics from Amity University Online, respected by employers across multiple sectors.

-   ##### Total Modules: 6
    
    Gain insight into a topic and learn the fundamentals.
    

-   ##### Duration
    
    24 hours
    

-   ##### Level: Beginner
    
    No prior experience required
    

-   ##### Internship
    
    Be eligible for internship (paid/unpaid)
    

-   ##### Fee: ₹~~33,000~~ ₹21,000


## Program Overview and Structure

### 1\. Introduction to Marketing Analytics

Gain a strong foundation in marketing analytics and learn to create impactful strategies. You'll explore segmentation, targeting, positioning, market research, advanced techniques like A/B testing, and association rule learning to make data-driven decisions.

1.  What is Marketing Analytics?
2.  Types of Marketing Analytics
3.  Marketing Strategies
4.  Segmentation, Targeting, Positioning
5.  Market Research Techniques
6.  Association Rule Learning
7.  A/B Testing in Marketing Analytics

###  2. Basics of Excel for Marketing Analytics

Master essential Excel tools to analyze, model, and visualize marketing data. Enhance your productivity by leveraging advanced functions, pivot tables, and scenario manager for data-driven decision-making.

1.  Excel Layout and Cell Referencing
2.  Conditional Formatting and Filters in Excel
3.  IF ELSE Function
4.  SUMIFS and COUNTIFS
5.  VLOOKUP
6.  Scenario Manager, Solver, and Goal Seek
7.  Pivot Table and Data Modelling

###  3. CLTV and RFM

Gain insights into customer behavior with CLTV and RFM analyses. Learn to prioritize high-value customers, improve retention, and understand preferences with conjoint analysis and practical use cases.

1.  What are RFM and CLTV analyses?
2.  Conjoint Analysis
3.  Demonstration of Use Case
4.  MCQ

###  4. Basics of Python using Jupyter Notebook

Kickstart your Python journey with Jupyter Notebook, a user-friendly platform for coding and data analysis. Learn to install and navigate Anaconda, explore Python data types, and start scripting to automate marketing tasks, paving the way for advanced analytics and insights.

1.  Introduction to Jupyter Notebook
2.  Installing and exploring Anaconda and Jupyter Notebook
3.  Writing and Running Python Scripts with various basic datatypes

### 5\. Machine Learning for Marketing Analytics: Techniques and Applications

Leverage machine learning to transform your marketing strategies by analyzing and optimizing performance. Explore exploratory data analysis (EDA) to uncover valuable insights, visualize key data trends for better understanding, and develop classification models to solve real-world marketing challenges.

1.  Overview of Machine Learning
2.  Classification matrix and confusion matrix
3.  Data visualization and EDA of marketing data
4.  Use Cases for Classification ML Models
5.  MCQ

### 6\. Association Rule

Learn to identify hidden patterns and relationships within large datasets using association rule techniques. Master powerful algorithms like Apriori and FP-growth in Python to uncover meaningful insights, enabling you to optimize marketing strategies, improve decision-making, and enhance customer engagement through data-driven approaches.

1.  Association Rule and FP Growth
2.  Apriori Algorithm in Python
3.  MCQ


## Frequently Asked Questions

### What makes these certifications unique?

These certifications are unique because they blend marketing expertise with hands-on analytics skills, empowering you to drive data-informed marketing strategies and optimize campaign performance.

### Who is this program for?

This program is for marketing professionals, business analysts, and students who want to enhance their ability to make data-driven marketing decisions and optimize campaign performance using analytics.

### What are the prerequisites for enrollment?

There are no specific prerequisites for enrollment; however, a basic understanding of marketing concepts and data analysis can help you make the most of the program.

### What tools and technologies will I learn?

You will learn tools and technologies such as Excel, Python, and popular marketing analytics techniques to analyze customer data, measure campaign effectiveness, and drive marketing strategies.

### How is the program structured?

The program is structured to provide a blend of theoretical knowledge and practical application through video lectures, case studies, and hands-on projects, focusing on key marketing analytics concepts and tools.

### Will I receive a certificate upon completion?

Yes, students will receive a certification upon successfully completing the program.

### How can I apply what I learn to my career?

You can apply what you learn by using marketing analytics techniques to measure campaign effectiveness, understand customer behavior, and optimize marketing strategies, helping you grow in roles like marketing analyst, brand manager, or digital marketer.

### Does this program offer a paid internship?

Yes! Students who successfully complete the program may become eligible for a paid internship with KPMG or its associates, depending on selection criteria.

### What roles are available in the paid internship?

Interns work in consulting, analytics, product development, and business intelligence, handling dashboard development, data analysis, and strategic problem-solving.

### How much is the stipend?

The average internship stipend is ₹8,000 per month.

### Where are the paid internships conducted?

Paid internships are conducted in-person at KPMG India offices in cities such as: Gurugram, Noida, Bangalore, Mumbai, Pune, Chennai, Kochi, Kolkata, Chandigarh, and Ahmedabad.

### When do paid internships start?

Paid internships are offered quarterly, with the selection process taking place in the last week of each quarter.

### Can I reapply if I don’t get selected?

Yes, students can reapply twice, but only in alternate quarters. If a student declines a paid internship after selection, they will not be eligible to reapply.

### How do I enroll and what are the payment options?

You can enroll by visiting our website and following the enrollment instructions. We offer various payment options, including credit/debit cards, online banking, and installment plans.

### Can I access course materials after completion?

Yes, students will have continued access to learning materials even after completing the course.
