Advanced Data Analytics for Logistics (Excel, SQL, and Power Query)

Description

Duration: 8 Hours

Course Overview:

This training program equips logistics professionals with advanced data analytics skills to extract, clean, and analyze logistics data using SQL, Power Query, and Excel. Participants will learn how to automate data transformation, generate insightful reports, and optimize logistics operations through data-driven decision-making.

Learning Outcomes:

By the end of the course, participants will be able to:

• Extract, clean, and analyze logistics data using SQL
• Automate data transformation processes with Power Query
• Utilize Excel to create dynamic logistics dashboards & reports
• Apply data-driven decision-making to improve logistics efficiency

Target Audience:

This course is designed for:

• • Logistics and supply chain managers 
  • Warehouse and inventory managers 
  • Transportation and fleet management professionals 
  • Data analysts in logistics operations 
  • Business intelligence professionals in logistics 
  • Operations managers handling logistics workflows 

• Anyone involved in logistics data processing and decision-making

 

Training Methodology:

Instructor-led Training: Delivered through a combination of 

• Instructor-led training with live demonstrations
• Hands-on practice with real logistics datasets
• Scenario-based exercises & case studies
• Interactive Q&A and discussions

 

 

Course Modules 

Module 1: Introduction & Logistics Data Challenges

• Common data challenges in logistics
• Importance of data analytics in logistics

 

Module 2: SQL for Logistics Data Management

• Writing SQL queries to analyze shipments & inventory
• Using aggregations & filtering for logistics insights
• Applying JOINs for warehouse & order tracking
• Using Common Table Expressions (CTEs) & Window Functions for ranking logistics data

 

Hands-on Exercise:

• Write SQL queries to analyze shipment delays & inventory levels

 

Module 3: Power Query for Data Cleaning & Automation

• Connecting Power Query to SQL & external data sources
• Merging warehouse & shipment data
• Cleaning & shaping logistics datasets
• Automating data updates

 

Hands-on Exercise:

• Use Power Query to clean & merge logistics datasets

 

Module 4: Advanced Excel for Logistics Analytics

• Power Pivot & DAX for large dataset analysis
• Using SUMIFS, XLOOKUP, INDEX-MATCH for logistics data
• Scenario Analysis & Forecasting for inventory & demand planning

 

Hands-on Exercise:

• Build an Excel dashboard to track warehouse stock & transport costs

 

Module 5: Real-World Case Study & Hands-on Project

• End-to-end analysis of shipment tracking data
• Creating a KPI dashboard for logistics performance

 

Hands-on Exercise:

• Participants work on a real-world logistics dataset to build automated dashboards

 

Module 6: Final Q&A, Best Practices & Wrap-Up

• Review of best practices in logistics data analytics
• Next steps for advanced learning

 

Schedule

Time	Description
08:45 AM- 09:15 AM	Welcome and Training Preparation
09:15 AM- 10:30 AM	Training
10:30 AM- 10:45 AM	Morning Break
10:45 AM- 12:30 PM	Training
12:30 PM- 01:30 PM	Lunch
01:30 PM- 03:00 PM	Training
03:00 PM- 03:30 PM	Break and Prayer
03:30 PM- 04:45 PM	Training
04:45 PM- 05:00 PM	Q & A Session and Closing