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Certificate Program in

Marketing Analytics Course

Become a future-ready marketer with Data Science skills. Learn to design winning marketing campaigns for the best results with our Marketing Analytics Course Training.
  • Get Trained by Trainers from ISB, IIT & IIM
  • 40 Hours Hybrid Sessions (Virtual & Self-paced)
  • 40 Hours Streaming Hours & Coursework
  • 20 Hours Real-Time Industry Projects
  • 100% JobAssistance
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marketing Analytics course - 360digitmg

532 Reviews

marketing Analytics course reviews - 360digitmg

3152 Learners

Academic Partners & International Accreditations

"The Marketing Analytics market of the South East Asian Region is $1.8 billion and will be the in-market size." - (Source). Marketing Analytics has seen sustainable growth in the last two years and is anticipated to flourish further by 2025. This development introduces a complete evaluation of the Marketing Analytics market and specifies future patterns, customer sentiment analysis, growth factors, and authenticated market information. In southeast Asia, Analytics with Artificial Intelligence is emerging rapidly where Kuala Lumpur is evolving as a second satellite hub, because of its potential talent and business development. South Asian countries started adopting AI and initiated many companies to use it. Major sectors like banks and telecommunications are adopting advanced analytics and the latest digital technologies.

Marketing Analytics

marketing analytics course duration

Total Duration

1 Month

marketing analytics course pre-requisite

Prerequisites

  • Computer Skills
  • Basic Mathematical Concepts
  • Analytical Mindset

Marketing Analytics Programme Overview

Marketing professionals want to discern and if possible, forecast how consumers buy products and/or services. Data Science and Artificial Intelligence when paired with cloud-based computing can help marketers micro-target and micro-segment their consumer base with the speed and performance including real-time experimentation. Pwc and Business-Higher Education Forum (BHEF) published a study that says 69% of employers prefer to hire candidates with highly specific data science skills.

Marketing Analytics Learning Outcomes

Marketing Analytics has a bright future in Malaysia. A Market Analyst supports industries to gain beneficial insights for their products and services. A Market Analyst should be able to analyze from the available data and prepare a plan which has multiple potential solutions for the clients. This will help companies to build marketing strategies for products specific to certain demographics. This will further help companies to know their targeted customers, gain a competitive edge, be efficient and productive.

By certification program students/ professionals will learn marketing domains, understand the importance of segmentation and Targeting. Learn Customer Lifetime value calculation and its applications. Able to perform forecasting using customer base models and statistical analysis. As per client requirements, the students will be able to design effective marketing plans that deliver profits and be competitive ahead.

  • Learn about marketing domain and its emergence in business strategies
  • Understand the need for Segmentation and Targeting
  • Develop a nuanced appreciation for designing products that create value
  • Product positioning for most effective results and returns
  • Formulate pricing strategy that drives up profits for firms
  • Understand the finer areas of market analysis to break into the competitive market with a new product based on future growth
  • Customer Lifetime Value (CLV) calculation
  • Perform forecasting to take proactive business decisions
  • Demand forecasting using customer-base models and statistical approaches

Marketing Analytics Course Modules

Marketing Analysts professionals are expected to have sound knowledge in , marketing, and necessary software skills. The Marketing Analytics course modules start with the introduction of the domain of marketing analytics, its importance, and applications. Students will learn about segmentation approaches and targeting strategies. Learn about novices in marketing and implementation. Understand the major concepts of perception mapping, product positioning, and preference mapping.

Preference mapping which is used to identify consumer preference positioning for different brands will be explained from a marketing analytics perspective. Learn about the advantages of conjoint analysis in modifying the product design that enables profits to the customer. Students will further explore the nuances of tweaking product design to deliver a better value proposition to the customer. Decision calculus to optimize value extracted is explained with real-time cases. Understand the importance of enhancing value extraction which is the maximum rupee value that you can extract from existing and potential customers. Apart from this, students will learn the concepts and calculations of Customer Lifetime Value.

1. Data Science Foundation Module

Get about, CRISP - ML(Q) the perfect Project Management Methodology used for handling Data Mining projects. Understand the entire process flow including Business Problem definition, Data Collection, Data Cleansing, Feature Engineering, Feature Selection, Model Building, Deployment and Maintenance. Get introduced to the principles of big data and learn about the opportunities being created. Understand about how Data is generation and explosion of data, Innovations in the space of analytics. Learn how to distinguish between data types, Exploratory data analysis, the Various moments of Business decisions and various Graphical techniques. Learn about probability and probability distribution namely Z distribution and Student's t-distribution.

Learn about Hypothesis testing, the many Hypothesis testing Statistics, work with the Null Hypothesis & Alternative hypothesis and Types of hypothesis testing. Interpret the results of Hypothesis test and probabilities of Alpha error, understand Type I and Type II errors. Get introduced to Linear regression, various components of Linear regression viz regression line, Linear regression equation, the concept of Ordinary Least Square. Get introduced to Linear regression analysis, and Linear regression examples

Understand the Linear regression in a multivariate scenario, understand collinearity and how to deal with it. Get introduced to the analysis of Attribute Data, understand the principles of Logistic regression, Binary Logistic regression analysis. Learn about the Multiple Logistic regression, Probability measures, and its interpretation. Get clarity on the confusion matrix and its elements. Get introduced to “Cut off value” estimation using AUC and ROC curve, understand False Positive Rate, False Negative Rate, Sensitivity, Specificity. Gain a birds-eye view to various advanced regression techniques and analysis of count data namely Poisson regression, Negative binomial regression. Learn when to use Poisson regression and negative binomial regression for predicting count data.

2. Marketing Analytics Module

1. Marketing 101

2. Introduction to Marketing Analytics

3. Need-based Segmentation

4. Segment Targeting Approaches

5. Perceptual Mapping and Product Positioning

6. Preference Mapping

7. Conjoint Analysis for Product Design

8. Value Extraction by Decision Calculus

9. Sustaining Value Extraction

10. Data Envelopment Analysis (DEA)

11. Stochastic Frontier Analysis (SFA)

12. Customer Lifetime Value (CLV)

Tools Covered

  • Marketing analytics training using r programming
  • Marketing analytics training using r studio programming

GenAI assistants and models

  • ChatGPT
  • Claude
  • Gemini
  • Llama
  • Perplexity

AI-assisted and vibe coding

  • GitHub Copilot
  • Cursor
  • Claude Code
  • Replit

Agentic AI frameworks

  • LangChain
  • Hugging Face
  • Ollama

Zero-code AI automation

  • n8n
  • Zapier
  • Make

Deploy and MLOps

  • MLflow
  • Streamlit
  • Docker
  • Databricks
  • AWS
  • Google Cloud

Marketing Analytics Trends in Malaysia

Analytics and AI are emerging enormously and will be a game-changer. This will bring a difference in cost efficiency and revenue stimulation initiatives. Marketing Analytics will create a wave in the telecommunications industry, as it delivers services to millions of customers and generates massive amounts of data. Marketing Analytics also helps the advertising industry by optimizing online and offline ad services. Another trend of Marketing Analytics will be in Robotics, merging with AI technology will produce substantial revenues. AI chatbots, video bots will play an essential role to bring immense scalability at a very low cost. Marketing Analytics helps to improve customer experience by generating customer behavior data. By this data, companies can modify their products as per the customer’s interest, this will grow the business further.

Analytics will improve digitally transformed companies by providing accurate data and analytics. It collects data from the traffic visiting the website and analyzes and produces the results. Marketing dashboards are in boom; they help to deliver customized services to the clients. Machine learning applications such as predictive analysis helps businesses to predict the market trends and plan marketing strategies to develop business in this data-driven environment.

Course Fee Details

Online Interactive Sessions

Mode of training: Live Online

  • 10+ hours of live online doubt clarification sessions
  • Free access to USD 500 worth study materials - mindmaps, digital book on Data Science & many more
  • Blockchain security enabled tamper-proof certificate(s)
  • Real-life industry-based projects with AiSPRY
  • 100% HRD Corp-claimable courses
  • Free Learning Management System Access

MYR 950

Minimum instalments cost starting from: MYR 293

Know More

Learners 3152 Learners

Rating 532 Reviews

Employee Upskilling

Mode of training: Onsite or Live Online

  • Minimum 10 participants per batch for Onsite training
  • Pre & Post Assessment Services
  • Blockchain security enabled tamper-proof certificate(s)
  • Customised Curriculum with industry-relevant use cases
  • 100% HRD Corp-claimable courses
  • Free Learning Management System Access

Corporate Group DiscountsUp to 30% for 3 participants & above

Learners 3152 Learners

Rating 532 Reviews

Payment Accepted

Payment Accepted

All prices are applicable with 8% taxes.

How We Prepare You

  • Marketing analytics training with placements
    Additional Assignments of over 60+ hours
  • Marketing analytics course with placements
    Live Free Webinars
  • Marketing analytics training institute with placements
    Resume and LinkedIn Review Sessions
  • Marketing analytics course with certification
    6 Months LMS Access
  • Marketing analytics certification
    Job Assistancein Marketing Analytics Fields
  • best Marketing analytics course
    Complimentary Courses
  • best Marketing analytics course training
    Unlimited Mock Interview and Quiz Session
  • best Marketing analytics training with placements
    Hands-on Experience in Live Projects
  • Marketing analytics course
    Life Time Free Access to Industry Webinars

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Marketing Analytics Certificate Panel of Coaches

Artificial Intelligence & Deep Learning Course Training -360digitmg

Bharani Kumar Depuru

  • Areas of expertise: Data analytics, Digital Transformation, Industrial Revolution 4.0
  • Over 18+ years of professional experience
  • Trained over 2,500 professionals from eight countries
  • Corporate clients include Deloitte, Hewlett Packard Enterprise, Amazon, Tech Mahindra, Cummins, Accenture, IBM
  • Professional certifications - PMP, PMI-ACP, PMI-RMP from Project Management Institute, Lean Six Sigma Master Black Belt, Tableau Certified Associate, Certified Scrum Practitioner, (DSDM Atern)
  • Alumnus of Indian Institute of Technology, Hyderabad and Indian School of Business
Artificial Intelligence & Deep Learning Course Training -360digitmg

Sharat Chandra Kumar

  • Areas of expertise: Data sciences, Machine learning, Business intelligence and Data
  • Trained over 1,500 professional across 12 countries
  • Worked as a Data scientist for 18+ years across several industry domains
  • Professional certifications: Lean Six Sigma Green and Black Belt, Information Technology Infrastructure Library
  • Experienced in Big Data Hadoop, Spark, NoSQL, NewSQL, MongoDB, Python, Tableau, Cognos
  • Corporate clients include DuPont, All-Scripts, Girnarsoft (College-, Car-) and many more
Artificial Intelligence & Deep Learning Course Training - 360digitmg

Bhargavi Kandukuri

  • Areas of expertise: Business analytics, Quality management, Data visualisation with Tableau, COBOL, CICS, DB2 and JCL
  • Electronics and communications engineer with over 19+ years of industry experience
  • Senior Tableau developer, with experience in analytics solutions development in domains such as retail, clinical and manufacturing
  • Trained over 750+ professionals across the globe in three years
  • Worked with Infosys Technologies, iGate, Patni Global Solutions as technology analyst

Certificate

Earn a certificate and demonstrate your commitment to the profession. Use it to distinguish yourself in the job market, get recognised at the workplace and boost your confidence. The Data Science in Marketing Analytics Certificate is your passport to an accelerated career path.

**All certificate images are for illustrative purposes only. The actual certificate may be subject to change at the discretion of the Certification Body.
marketing analytics certificate course - 360digitmg

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FAQs for Marketing Analytics Course

This course just assumes some basic computer familiarity and analytical mindset. It definitely helps if the learner has some background in marketing, SQL and Programming languages such as Python and R.

This course is specifically catered to learners intending to either begin or advance their careers in marketing.

Different organisations use different terms for data professionals. You will sometimes find these terms being used interchangeably. Though there are no hard rules that distinguish one from another, you should get the role descriptions clarified before you join an organisation.

With growing demand, there is a scarcity of data science professionals in the market. If you can demonstrate strong knowledge of data science concepts and algorithms, then there is a high chance for you to be able to make a career in this profession.

߲ provides internship opportunities through AiSPRY, our USA- based consulting partner, for deserving participants to help them gain real-life experience. This greatly helps students to bridge the gap between theory and practice.

There are plenty of jobs available for data professionals. Once you complete the training, assignments and the live projects, we will send your resume to the organisations with whom we have formal agreements on job placements.

We also conduct webinars to help you with your resume and job interviews. We cover all aspects of post-training activities that are required to get a successful placement.

After you have completed the classroom sessions, you will receive assignments through the online Learning Management System that you can access at your convenience. You will need to complete the assignments in order to obtain your data scientist certificate.

You will be attending 16 hours of classroom and/or virtual instructor-led sessions. After completion, you will have access to the Learning Management System for three months for recorded videos and assignments. Also you will have to spend another month after the classroom sessions to complete the live project.

If you miss a class, we will arrange for a recording of the session. You can then access it through the online Learning Management System.

We assign mentors to each student in this programme. Additionally, during the mentorship sessions, if the mentor feels that you require additional assistance, you may be referred to another mentor or trainer.

No. The cost of the certificate is included in the programme package.

Jobs in the Field of Marketing Analytics in Malaysia

Jobs in the Field of Marketing Analytics in Malaysia

Marketing Analytics will have jobs for the roles as Marketing Analyst, Marketing Lead, Product Marketing Specialist, Digital Analytics Specialist, Data Analytics Specialist, Analytics Manager

Salaries in Malaysia for Marketing Analytics

Salaries in Malaysia for Marketing Analytics

The average salary for marketing analysts is RM 35K and for marketing specialists at an early-career level the average salary is RM 53,488, and for experienced the average salary is RM 83k approximately.

Marketing Analytics Projects in Malaysia

Marketing Analytics Projects in Malaysia

Marketing Analytics is involved in the forecasting, predictive analysis of the business with R, and projects merged with Artificial Intelligence and machine learning in the telecom sector and others.

Role of Open Source Tools in Marketing Analytics

Role of Open Source Tools in Marketing Analytics

Marketing Analytics is operated with tools that include R and R Studio. Other prime tools are Piwik, NextCloud, Mail-in-a-Box, HackMD, and WordPress.

Modes of training for Marketing Analytics

Modes of Training in Marketing Analytics

The Marketing Analytics certification course in Malaysia is designed for students and working professionals. ߲ offers students the option of both classroom and online learning.

Industry Application of Marketing Analytics

Industry Applications of Marketing Analytics in Malaysia

Marketing Analytics has great potential in sectors that include banks, Healthcare, Retail, Manufacturing, Telecom, Automotives, Hotels, etc.

Companies That Trust Us

߲ offers customised corporate training programmes that suit the industry-specific needs of each company. Engage with us to design continuous learning programmes and skill development roadmaps for your employees. Together, let’s create a future-ready workforce that will enhance the competitiveness of your business.

Student Voices

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߲ - Data Science, IR 4.0, AI, Machine Learning Training in Malaysia

Level 16, 1 Sentral, Jalan Stesen Sentral 5, Kuala Lumpur Sentral, 50470 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

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What stood out most was the programme's practical and structured approach to AI adoption. The industry-specific examples, combined with clear frameworks for evaluating feasibility and designing solutions, made the learning highly relevant to our business.
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What stood out most was the trainer's simple way of explaining Data Science and GenAI, and showing us different AI tools that I had not used before. It made me realise how useful these tools can be in our daily work.
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