• Twitter

Certified Data Scientist - Marketing Certification (CDSMRK – DS2140)

  • Boost Your Marketing Career with Data Science: Grow your marketing career with a data science certification. Become a data scientist in marketing and learn how to use data to make better decisions.
  • Become a Smart Marketing Professional with Data Skills: Build strong skills in data science for marketing. Create better campaigns, improve customer experience, and get better results with marketing data science.
  • Stand Out with Data Science: Stand out with data science in marketing. Become a marketing data scientist and show your skills in data science and marketing to get better career opportunities.
image

Download Syllabus

Book Exam
Enquire Now
 200/-
(Including all taxes)
Eligibility Test

The IABAC data science certification for marketing helps professionals understand how to use data in their marketing work. It teaches how to find useful patterns and trends from large sets of information. This makes it easier to take better decisions and improve marketing results. In simple terms, the data scientist meaning in marketing is someone who studies data to understand customer behavior and improve campaigns. With data science for marketing, you can learn how to turn numbers into clear ideas that help businesses grow.

This program explains how data science and marketing work together. It shows how data can help you understand what customers like, what they need, and how they respond to different campaigns. This is an important part of marketing data science.

What you will learn:

  • How to collect and study customer data
  • Basics of data science in marketing
  • How to find trends and patterns
  • Ways to improve campaign performance
  • How to measure marketing results
  • How to create simple and clear data visuals

The certification also covers marketing and data science techniques like customer segmentation. This means dividing customers into groups based on their behavior, interests, or needs. It helps businesses send the right message to the right people, which can increase engagement and sales.

With data science marketing, you will also learn how to test campaigns and improve them step by step. By checking what works and what doesn’t, you can make better marketing plans.

Why this certification is useful:

  • Helps you become a data scientist in marketing
  • Builds strong skills in marketing data sciences
  • Improves your ability to make better decisions
  • Makes you valuable to companies looking for skilled professionals
  • Opens job roles like data scientist marketing or marketing data scientist

The course also teaches marketing analytics, which helps you understand how well your campaigns are working. You will learn how to present your findings using charts and visuals so that others can easily understand your ideas. Overall, this data science for marketing certification helps you grow your career and prepares you for roles where marketing data science plays an important part. It gives you the skills to turn data into useful actions and improve business results.

image

Not sure about your success rate?

image

COURSE SYLLABUS

Introduction to Data Science in Marketing

  • Overview of data science applications in marketing
  • Data-driven decision-making in marketing
  • Ethical considerations in marketing data science
     

Python for Marketing Data Analysis

  • Introduction to Python programming language
  • Data manipulation using Pandas library
  • Exploratory data analysis and data visualization using Matplotlib and Seaborn
     

Customer Segmentation and Profiling

  • Customer segmentation techniques (RFM analysis, clustering)
  • Customer profiling and persona development
  • Market basket analysis and cross-selling strategies

Predictive Analytics for Customer Behavior

  • Predictive modeling techniques (linear regression, logistic regression)
  • Churn prediction and customer lifetime value estimation
  • Upselling and cross-selling prediction models

Recommender Systems

  • Introduction to recommender systems
  • Collaborative filtering and content-based filtering techniques
  • Hybrid recommender systems
  • Evaluation and optimization of recommender systems
     

Social Media Analytics

  • Mining social media data for marketing insights
  • Sentiment analysis and opinion mining
  • Social network analysis and influence identification
  • Social media campaign tracking and evaluation

Digital Marketing Analytics

  • Web analytics and conversion tracking
  • Search engine optimization (SEO) analysis
  • Pay-per-click (PPC) advertising and campaign optimization
  • A/B testing and landing page optimization

Marketing Mix Modeling

  • Introduction to marketing mix modeling
  • Attribution modeling and marketing ROI analysis
  • Optimization of marketing spend allocation
  • Marketing effectiveness measurement and reporting

Data Visualization and Storytelling in Marketing

  • Data visualization principles and best practices
  • Effective communication of marketing insights
  • Storytelling with data for marketing presentations
  • Dashboard design and creation for marketing analytics
     

Find Authorized Training Providers

Prerequisite Certification

  • Strong Data Analysis Skills: You should be able to understand statistics well and extract meaningful insights from complex data sets.
  • Programming Knowledge: Be comfortable with programming languages like Python, R, or SQL to work with data and perform analyses.
  • Machine Learning Basics: Understand common machine learning techniques that can be applied to predict marketing trends and outcomes.
  • Marketing Analytics Expertise: Be skilled in using tools like Google Analytics to track campaign performance and analyze key marketing metrics.
  • Clear Communication: You need to communicate your findings and suggestions effectively, both in writing and speaking, to help others make data-driven decisions.

For anyone interested in the Data Scientist - Marketing role, having Data Science Certification can be a valuable asset to demonstrate expertise in Data Science and related skills.

Who can pursue this certification?

Anyone interested in improving their marketing skills with data science can pursue this certification. Here’s who would benefit:

  • Marketing Analysts: Professionals who use data to analyze customer behavior, conduct market research, or optimize campaigns.
  • Marketing Managers: Those responsible for marketing strategy who want to use data science to make better decisions and improve campaigns.
  • Digital Marketers: Experts who analyze website, social media, and ad data to enhance digital marketing efforts.
  • Market Researchers: People who study market trends, customer preferences, or competitor actions using data science techniques.
  • Customer Relationship Managers: Individuals focused on improving customer loyalty and identifying sales opportunities through data analysis.
  • Marketing Consultants: Advisors who use data insights to develop strategies and optimize marketing budgets for their clients.
  • Brand Managers: Professionals responsible for tracking brand performance and customer sentiment using data.
  • Marketing Data Scientists: Experts who apply machine learning and data science methods to solve complex marketing challenges, such as customer segmentation and campaign optimization.

This Data Science Certification can help you gain the skills to use data in marketing more effectively and make better, data-driven decisions. Whether you're looking to become a Data Scientist - Marketing or improve your current role, this certification can open up new opportunities.

Certified Data Scientist - Marketing

(Test Preparation Study Guide)

Here’s your free study guide for the Certified Data Scientist - Marketing certification, designed to enhance your marketing career with advanced data science skills. Boost your skills now!

 

The Benefits

International Credential

IABAC is a widely recognized credentialing framework based on European commission funded EDISON Data Science body of knowledge. This credential provides distinction as high potential certified Data Science Professionals enabling better career prospects.

Global Opportunities

IABAC certification provides global recognition of the relevant skills, thereby opening opportunities across the world.

Specialization

IABAC Certification designed to cater to the job requirements of all experience levels and specializations, which suits roles aligned with the industry standards.

Relevant and updated

IABAC CPD (Continuing Professional Development) program enables credential holders to update their skills and stay relevant to the industry requirements.

Higher Salaries

On an average, a certified professional earns 30-40% more than their non-certified as per recent study by Forbes.

Summits & Webinars

In addition, IABAC members will have exclusive access to seminars and Data Science summits organised by IABAC partners across the globe.

Not sure which certification suits your goal? Get a free counselling

DATA SCIENCE CERTIFICATIONS

image

Data Science Foundation
image

Certified Data Science Developer
image

Certified Machine Learning Expert
image

Certified Data Scientist
image

Certified Data Scientist - Operations

image

Certified Data Scientist - Finance

image

Certified Data Scientist - HR

image

Data Science Certified Manager
image

Certified Data Engineer
image

Certified MLOps Engineer

COURSE FAQs

What is a certified data scientist in marketing?

A certified data scientist in marketing is a professional skilled in analyzing large datasets to derive insights and make data-driven decisions to optimize marketing strategies and campaigns.

What qualifications are required to become a certified data scientist in marketing?

A bachelor's or master's degree in a relevant field like data science, statistics, or marketing is required. Additionally, obtaining certifications in data science and marketing analytics can enhance credibility.

What are the primary responsibilities of a certified data scientist in marketing?

The primary responsibilities include collecting and analyzing marketing data, developing predictive models, identifying trends, optimizing marketing campaigns, and providing actionable insights to improve ROI.

How does a certified data scientist contribute to marketing strategy?

By utilising data analysis techniques, a certified data scientist helps in identifying target audiences, understanding consumer behavior, optimizing marketing channels, and allocating resources effectively to achieve marketing objectives.

What is IABAC Certified Data Scientist Marketing certification value in the global market?

IABAC is arguably the most respected certification and the world’s first Certified Data Scientist Marketing certification board based on the European commission Edison framework.  The regions such as the USA, UK, Singapore, India and the Middle-east, IABAC is well recognised and many MNCs specifically mention IABAC requirements in their job descriptions.