Dl4All Logo
Tutorials :

Excel, Python & Power BI for Managing Supply Chain & Finance

   Author: Baturi   |   10 September 2026   |   Comments icon: 0


Excel, Python & Power BI for Managing Supply Chain & Finance

Download this premium online course featuring high-quality video training, step-by-step lessons, practical demonstrations, and expert instruction. With Excel, Python & Power BI for Managing Supply Chain & Finance, you'll gain practical knowledge through structured learning, hands-on examples, and real-world applications. This comprehensive eLearning resource is ideal for students, professionals, freelancers, and lifelong learners looking to develop valuable skills and stay current with modern industry practices at their own pace.
Published 9/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 6h 13m | Size: 4.05 GB
Overview of supply chain management and related financial aspects and use of data analysis for the same


What you'll learn


Basic use of data analytics for challenges of operations, supply chain and finance related to company operations
Data Analytics using tools like Excel, Python and SQL
Data Visualization by use of Power BI
An understanding of the usual challenges faced in analytics of business operations

Requirements


Basics of supply chain operations and finance may help, but are not essential

Description


This course is intended for the those who are either working in or targeting the role of a business analyst or supply chain analyst and want to get an overview of supply chain and its relationship with finance. This course would help in understanding how analytics can be used for handling operations, supply chain and finance.
Though it covers basics, but it would be useful for all levels especially if you are switching role to business analytics or want to understand the fundamentals of supply chain management.
It provides an overview of MS Excel, Power BI and Python (only analytics focused). In Excel we would cover the data handling capabilities of Excel, important formulae used and charts and Pivot Tables. The Power BI mainly would focus on dashboarding using sales data. Python includes use of Pandas for analysis.
Subsequently the course proceeds to provide an overview of supply chain management, planning, forecasting, inventory planning, cash flow etc. A few use cases of creating an interactive cashflow statement using Excel, creating a Power BI dashboard for shipment etc. have also been covered. After completing this course, the student would be able to get an overview of analysis and visualization of operations and supply chain.

Who this course is for


data enthusiasts and MIS professionals
Supply planners, demand planners
Business Operations Managers

Homepage


https://www.udemy.com/course/excel-python-power-bi-for-managing-supply-chain-finance/


Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me


No Password - Links are Interchangeable

Free Excel, Python & Power BI for Managing Supply Chain & Finance, Downloads Excel, Python & Power BI for Managing Supply Chain & Finance, Rapidgator Excel, Python & Power BI for Managing Supply Chain & Finance, Mega Excel, Python & Power BI for Managing Supply Chain & Finance, Torrent Excel, Python & Power BI for Managing Supply Chain & Finance, Google Drive Excel, Python & Power BI for Managing Supply Chain & Finance.
Feel free to post comments, reviews, or suggestions about Excel, Python & Power BI for Managing Supply Chain & Finance including tutorials, audio books, software, videos, patches, and more.

[related-news]



[/related-news]
DISCLAIMER
None of the files shown here are hosted or transmitted by this server. The links are provided solely by this site's users. The administrator of our site cannot be held responsible for what its users post, or any other actions of its users. You may not use this site to distribute or download any material when you do not have the legal rights to do so. It is your own responsibility to adhere to these terms.

Copyright © 2018 - 2025 Dl4All. All rights reserved.