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Marketing Analytics Course with Placement Assistance

  • 100% Job Guarantee Program
  •  Job Offer Letter From Reputed Company
  • Post Graduate Diploma From The State University Of New York
  • Pan India and International Placement Support
  • No Prior Coding Experience? No Problem!

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Eligibility

College Degree in STEM related fields – Science, Mathematics, Engineering, Software Technology and Business.

No programming knowledge needed. You will learn from scratch!

Who should sign up?

  • Aspiring Analytics Professionals
    Those aiming to build careers in domain-specific analytics .

  • Graduates seeking careers in analytics and forecasting
    Freshers from IT, business, economics, statistics, life sciences, engineering, or related fields looking to enter analytics roles in their chosen domain.

What Do You Learn

  • Build Python Constructs for Marketing Analytics
    Learn to write Python programs to process, analyze, and visualize marketing datasets for actionable insights.

  • Connect to Multiple Data Sources
    Integrate with varied databases (SQL & NoSQL) to pull customer, campaign, sales, and engagement data for analysis.

  • Master Essential Mathematics & Statistics for Marketing
    Gain strong fundamentals in probability, hypothesis testing, regression, and statistical significance—critical for marketing performance evaluation.

  • Apply Machine Learning to Marketing Use Cases
    Implement supervised & unsupervised learning algorithms for customer segmentation, churn prediction, campaign optimization, and sales forecasting.

  • Leverage Cloud Computing for Scalable Marketing Analytics
    Run machine learning models on cloud platforms (AWS, Azure, GCP) to handle large-scale customer and campaign data efficiently.

  • Analyze Unstructured Marketing Data
    Work with images, videos, audio, and text from ad campaigns, social media posts, customer reviews, and brand interactions to uncover valuable insights.

  • Master Optimized Marketing Forecasting Techniques
    Learn advanced statistical and machine learning methods to forecast sales, campaign performance, and customer demand with high accuracy.

  • Implement Data Plumbing for Marketing Pipelines
    Design and manage real-time and batch data flows from CRM systems, ad platforms, and web analytics tools to support timely marketing decisions.

  • Deploy End-to-End Marketing ML Models on Azure
    Map and deploy scalable, cloud-based marketing analytics solutions using Microsoft Azure Machine Learning for big data marketing scenarios.

After Successfully completing the programme you should be able to

  • Demonstrate Expertise Across Core Analytics Technologies
    Have a strong command of Machine Learning, Deep Learning, Cloud Platforms, Big Data, SQL & NoSQL Databases, Business Intelligence tools, and DevOps practices relevant to marketing analytics.

  • Deliver High-Impact Marketing Analytics Projects
    Successfully contribute to projects involving marketing-focused machine learning models, cloud-based analytics solutions, and automated data pipelines for campaign and customer insights.

Synopsis of Marketing Analytics Course

This program is designed for graduates and professionals eager to leverage Marketing Analytics expertise and earn a valuable PG Diploma from a leading U.S. university. The blended curriculum brings together the best of multiple courses, delivering in-depth knowledge without compromising content quality or quantity.

Participants will experience rigorous, multi-platform training that includes live virtual classes, pre-recorded lectures, interactive chat support, expert mentoring, domain-specific projects (end-to-end capstone and mini projects in marketing analytics), pre-assessments, post-assessments, quizzes, and more.

The program is ideal for both fresh graduates and working professionals seeking to accelerate their careers in marketing data analysis, campaign optimization, customer insights, and ROI-driven decision-making through the power of analytics.

Curriculum of Marketing Analytics Course

Chart Your Career with Industry Specific blended Core Modules Designed for Expanding Job Roles

Foundations of Marketing Analytics

Goal: Build a solid understanding of marketing data, tools, and frameworks.
Topics:

  • Role of analytics in marketing strategy

  • Types of marketing data (campaign, CRM, web, social, sales)

  • Data collection methods & sources

  • Basics of Python for marketing analytics

  • Introduction to SQL & NoSQL for marketing datasets

  • Understanding KPIs: ROI, CAC, CLV, CTR, conversion rates

Data Management & Integration for Marketing

Goal: Acquire skills to gather, clean, and organize marketing data.
Topics:

  • ETL/ELT concepts for marketing datasets

  • Integrating data from CRM, ad platforms, Google Analytics, social media APIs

  • Handling structured & unstructured data (text, images, videos)

  • Data preprocessing & cleaning for customer and campaign data

  • Marketing data warehousing & cloud storage solutions

Marketing Analytics & Statistical Foundations

Goal: Learn the statistical and analytical methods behind marketing decisions.
Topics:

  • Descriptive & inferential statistics for marketing

  • Hypothesis testing in campaign analysis

  • A/B testing & multivariate testing for ad performance

  • Market segmentation & clustering techniques

  • Forecasting demand, sales, and campaign reach

Machine Learning for Marketing

Goal: Apply ML models to solve real marketing problems.
Topics:

  • Supervised learning for churn prediction, lead scoring, and ROI optimization

  • Unsupervised learning for customer segmentation

  • Sentiment analysis on customer reviews and social media posts

  • Recommendation engines for cross-sell and upsell

  • AutoML for marketing model building

Visualization, BI, and Reporting

Goal: Present marketing insights in a business-friendly manner.
Topics:

  • Power BI & Tableau for marketing dashboards

  • Storytelling with data for campaigns & KPIs

  • Real-time marketing analytics reporting

  • Executive dashboards for CMO-level decision-making

Capstone Project & Career Preparation

  • End-to-end business analytics project

  • Real-world case studies with domain context

  • Resume building, mock interviews

  • Analytics roles & career path support

Industry Projects in collaboration with DERIVE

DERIVE provide customised and innovative solutions for the clients. The organisation is keen to support and encourage upcoming data professionals and they believe that the need for skilled data scientists in only going grow in the coming years. Fuzen IT in collaboration with DERIVE offers hands-on Internships to students where they can work on real world problems and solve real-world challenges.

Programming Languages & Tools Covered

tesseract
tensorflow
tableau
python
powerbi
opencv
numpy
excel
jupyter
matplotlib
nltk

Our Alumni Work At

FAQs

The duration varies based on the learning pace, but typically, the program can be completed within a structured timeframe.

Not necessarily. Many of our beginner-level courses are designed for freshers and non-IT students. However, for advanced programs like AI and Cybersecurity, a basic understanding of programming is helpful

Yes. All enrolled students receive lifetime access to course materials, resources, and updates even after completing the course.

You can reach out through our contact page, WhatsApp support, or visit our nearest branch for one-on-one guidance.

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