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Certified Logistics Data Analyst & AI Specialist

Certified Logistics Data Analyst & AI Specialist

6,500.00 3,250.00

50% fee concession will end in

To train professionals to analyze logistics data and apply AI solutions for improved efficiency, decision-making, and supply chain performance.

Description

Course Name: Certified Logistics Data Analyst & AI Specialist

Global Occupational Skill Standard – GOSS ID: GOSS/TL/CLDAAIS/V1

Eligibility: Graduation or Equivalent or minimum 2 years of relevant experience (experience-based learners can directly enroll and certify).

Objective: The Certified Logistics Data Analyst & AI Specialist course is designed to equip professionals with the skills to analyze logistics data and leverage artificial intelligence to optimize supply chain operations. Participants learn data analytics techniques, predictive modeling, AI-driven decision-making, demand forecasting, route optimization, inventory analysis, and performance monitoring.

Certification: Within 5 days after Completion of Online Assessment.

Get ready to join the Journey to become a GSDCI Certified Professional  – International Certification and Assessment Body.

Steps to become a GSDCI Certified Professional:

Step 1: Select your certification you want to pursue.

Step 2: Click on get certified tab, new pop up window will open.

Step 3: Click on pay certification fee, you will be redirected to billing details page.

Step 4: Fill your details and click on pay certification fee, you will be redirected to payment gateway, pay fee by any available options like Card (Debit/Credit), Wallet, Paytm, Net banking, UPI and Google pay.

Step 5: You will get Login Credentials of Online E-Books and Online assessment link on your email id, within 48 hrs of payment.

Step 6: After completion of the online assessment, the soft copy of your certificate will be sent to your registered email ID within 5 days.

Assessment Modules:

Module 1: Fundamentals of Logistics Data Analysis: Overview of logistics and supply chain analytics, Role and responsibilities of a logistics data analyst, Key performance indicators (KPIs) and metrics in logistics, Data sources and types in logistics operations, Data quality and governance, Importance of analytics in decision-making,

Module 2: Data Management & Warehousing: Data collection and storage techniques, Database management systems (SQL, NoSQL), Data cleaning and preprocessing, Data integration from multiple logistics sources, Cloud storage solutions for logistics data, Data security and compliance considerations,

Module 3: Statistical Analysis & Predictive Modeling: Descriptive and inferential statistics for logistics, Forecasting demand and inventory, Regression and correlation analysis, Predictive modeling for supply chain optimization, Simulation and scenario analysis, Performance measurement and KPI analytics,

Module 4: Artificial Intelligence & Machine Learning in Logistics: Overview of AI and machine learning applications, Predictive maintenance for transport and warehousing, Route optimization and fleet management using AI, Inventory optimization using machine learning, AI-powered demand forecasting, Robotics and automation in logistics operations,

Module 5: Data Visualization & Decision Support: Visualization tools (Power BI, Tableau, etc.), Dashboards for monitoring logistics performance, KPI reporting and interactive analytics, Geographic Information Systems (GIS) for route and network analysis, Advanced analytics for strategic decision-making, Communication of insights to stakeholders,

Module 6: Strategic Advisory & Innovation in Logistics: Developing data-driven logistics strategies, Process optimization and efficiency improvement, Risk assessment and mitigation using analytics, Integration of AI solutions across the supply chain, Emerging technologies and innovation trends, Advisory and consulting skills for data-driven decision-making,

GSDCI Online Assessment Detail:

  • Duration- 60 minutes.
  • Number of Questions- 30.
  • Number of Questions from each module: 5.
  • Language: English.
  • Exam Type: Multiple Choice Questions.
  • Maximum Marks- 100, Passing Marks- 50%.
  • There is no negative marking in any module.
Marking System:
S.No. No. of Questions Marks Each Question Total Marks
1 10 5 50
2 5 4 20
3 5 3 15
4 5 2 10
5 5 1 5
30   100
How Students will be Graded:
S.No. Marks Grade
1 91-100 O (Outstanding)
2 81-90 A+ (Excellent)
3 71-80 A (Very Good)
4 61-70 B (Good)
5 50-60 P (Pass)
6  0-49 F (Fail)

 

Benefits of Certification:

1. Global Recognition & Credibility – Stand out worldwide with a certification that opens doors across borders. Trusted by employers, respected by institutions, and recognized in over 100 countries.

2. Quality Assurance through ISO Certification – Certified to global ISO standards, our programs deliver excellence, consistency, and a benchmarked learning experience that speaks for itself.

3. Career Advancement & Employability – Enhances your resume and increases chances of promotions or job offers.

4. Non-Profit Trust Factor – Certifications from non-profit organizations are mission-driven rather than profit-driven.

5. Access to Verified Learning & Resources – Often includes e-books, mock tests, and online support without hidden costs.

6. Transparency & Online Verification – Certifications come with a unique Enrolment ID for easy online verification by employers and institutions.

7. Lifetime or Long-Term Validity – Certifications usually have lifetime validity or long-term recognition, reducing the need for frequent renewals.

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A 50% fee concession is applicable on all certification up to 30th June 2026.

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