Retail 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!

data science & AI course reviews - 360digitmg

663 Reviews

data science & Ai course reviews - 360digitmg

3472 Learners

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.

After Successfully completing the programme you should be able to

Demonstrate Expertise Across Core Analytics Technologies
Master Machine Learning, Deep Learning, Cloud Platforms, Big Data, SQL & NoSQL, BI tools, and retail data management systems tailored for retail analytics.

Deliver High-Impact Retail Analytics Projects
Work on projects involving demand forecasting, inventory optimization, pricing strategy analytics, recommendation systems, customer segmentation, and sales performance analysis.

Synopsis of Retail Analytics Course

This program is designed for graduates and professionals eager to leverage Retail 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 Retail Analytics Course

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

Retail Data Ecosystem & Domain Fundamentals

  • Retail workflows, POS data, e-commerce platforms, and omnichannel retail systems.

  • Understanding SKU-level data, customer journey mapping, and merchandising strategies.

Data Management & Warehousing for Retail

  • SQL, NoSQL, cloud data warehouses (Snowflake, BigQuery), data lakes.

  • Integration from ERP, CRM, and inventory systems.

Business Intelligence & Visualization

  • Retail KPIs: sales per square foot, basket size, inventory turnover, gross margin return on investment (GMROI).

  • Tools like Power BI, Tableau, Looker for retail dashboards.

Advanced Analytics & Machine Learning Applications

  • Demand forecasting, churn prediction, recommendation engines, and market basket analysis.

  • Customer lifetime value (CLV) prediction and price elasticity modeling.

Retail Operations Optimization

  • Inventory optimization, supply chain analytics, staffing optimization, store layout analysis.

  • Dynamic pricing and promotional effectiveness analytics.

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

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.