
Udemy – RA: Data Science and Supply Chain analytics. A-Z with Python 2020-9
Published on: 2021-02-13 18:10:52
Categories: 28
Description
RA: Data Science and Supply Chain analytics A-Z with Python, name of a training course python with the science of data, programming, linear., the anticipation, pricing and inventory management industry. This period as learning modules, practical design. In the first module you with the fundamental principles of the supply chain and the programming language Python will get to know, and then program the supply chain with the use of science data will be familiar. However, in the course description concepts with the use of boards, etc., deliver, and coding Python is done, but in most part, the assessment that is to strengthen the skills, the business has been your help.
What in the course of RA: Data Science and Supply Chain analytics A-Z with Python learn:
- Guide to complete the acquisition of skills in the use of Python for science data
- Working as a designer demand
- Become a director of data driven supply chain
- Use the programming linear in Python for optimization of logistics and production planning
- Revenue management
- Segmenting customers, products and suppliers to maximize the level of Service and reduce costs
- Learning simulation to inform decision making, supply chain
- To be an expert data supply chain convert you will be.
- The techniques of chain hedge that only in this period are to be found, it will earn. (Guarantee the tutor!)
Specifications volume:
Publisher: Udemy
instructor: Haytham Omar
language: English,
educational level: introductory to advanced,
the number of lessons: 405
Duration Time: 37 hours and 6 minutes
This course

Prerequisite course:
Excel
Anaconda
spyder
Images

Sample movie
Installation guide
After the Extract, watch with the Player you like.
Subtitles: English
Quality: 720
Download link
Download Part 1 – 3 GB
Download Part 2 – 3 GB
Download Part 3 – 3 GB
Download Part 4 – 3 GB
Download part 5 – 3 GB
Download Part 6 – 3 GB
Download Part 7 – 2.16 GB
File size
20.2 GB
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