Description

Certification Name: Certified Logistics Data Analyst

Global Occupational Skill Standard – GOSS ID: GOSS/TL/CLDA/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 course is designed to equip participants with the analytical and technical skills needed to manage and interpret large volumes of logistics and supply chain data. The course covers key topics such as data collection methods, KPIs in logistics (e.g., order accuracy, delivery times, inventory turnover), data visualization, dashboard creation, and the use of tools like Excel, SQL, Power BI, and Python.

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 online assessment, you can download your Certificate Immediately.

Assessment Modules:

Module 1: Fundamentals of Logistics and Supply Chain Analytics: Introduction to logistics functions and data-driven decision-making, Key concepts in supply chain operations and data types, Role of a logistics data analyst in modern supply chains, Understanding data flows across procurement, warehousing, and distribution, Basics of KPIs and performance metrics in logistics, Overview of digital transformation and analytics in logistics.

Module 2: Data Collection, Cleaning, and Management Techniques: Data sources in logistics: ERP, WMS, TMS, RFID, GPS, EDI, Techniques for data extraction and integration across platforms, Data cleaning, validation, and preparation for analysis, Master data management and data governance principles, Structured vs unstructured logistics data handling, Tools used: Excel, SQL, Power Query, and data connectors.

Module 3: Descriptive and Diagnostic Analytics in Logistics: Applying statistical techniques to analyze logistics performance, Inventory levels, order cycle time, and transportation cost analysis, Root cause analysis of logistics problems using data, Dashboard creation using Excel/Power BI/Tableau for operational insights, Analyzing trends, outliers, and historical data for process improvement, Case study: analyzing warehouse efficiency using data.

Module 4: Predictive and Prescriptive Analytics in Logistics: Forecasting techniques for demand and shipment planning, Regression analysis and time series models in logistics forecasting, Optimization models for inventory and route planning, Scenario analysis and decision support systems, Introduction to simulation and what-if analysis in logistics, Applications of machine learning in logistics (introductory level).

Module 5: Logistics KPIs, Reporting, and Visualization: Key logistics KPIs: OTIF, fill rate, freight cost per unit, inventory turnover, Building dynamic dashboards for logistics performance tracking, Automating reports and alerts for real-time decision-making, Storytelling with data: designing visuals for logistics insights, Tools: Power BI, Tableau, Excel dashboards for logistics reporting, Communicating data-driven insights to logistics stakeholders.

Module 6: Real-World Applications, Risk Analysis, and Future Trends: Analyzing logistics disruptions and risk mitigation using data, Data-driven vendor and carrier performance evaluation, Using analytics in reverse logistics and returns management, Integration of IoT, AI, and blockchain in logistics analytics, Ethical considerations and data privacy in logistics analytics, Capstone project: data-driven improvement plan for logistics operation.

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.

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.