RA: Data Science and Supply Chain analytics. A-Z with Python

Learn Python, Supply Chain Data Science ,Linear Programming, Forecasting, Pricing and Inventory Management.

4.43 (1518 reviews)

Udemy

platform

English

language

Data Science

What you will learn

A-Z Guide to Mastering Python for Data Science.

Work as A demand Planner.

Become a data driven supply chain manager.

Use linear Programming in python for logistics optimization and Production scheduling.

Set stock policies and safety stocks for all of your Business products.

Revenue management

Segment Customers, Products and suppliers to maximize service levels and reduce costs.

Learn simulations to make informed supply chain decisions.

Become a supply chain data scientist.

Learn Supply chain techniques you will only find in this course. Guaranteed!

Course Gallery

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Comidoc Review

Our Verdict

RA: Data Science and Supply Chain Analytics with Python is an extensive resource for those interested in data-driven supply chain management. Its unique approach to linking supply chain and data science helps learners understand how Python can be practically utilized within this context. Despite minor production and presentation issues, the course offers valuable insights and real-world applications that make it a worthwhile experience for aspiring supply chain data scientists.

What We Liked

Comprehensive coverage of both Data Science and Supply Chain analytics, with a strong emphasis on Python programming.
In-depth exploration of various supply chain techniques, not commonly found in other courses.
Valuable real-world insights and practical applications provided by the instructor, who has expertise in supply chain topics and Python.

Potential Drawbacks

Uneven audio-visual quality, including video skips, voice cutoffs, and hard-to-read text. Improved production value would enhance learning.
Lectures can be dry and faster-paced learners might prefer a more engaging presentation style.
Some reviewers suggest that the course could benefit from better structuring and updating outdated code snippets.