RA: Supply Chain Applications with Python: Inventory.

RA: Supply Chain Applications with Python: Inventory., available at $49.99, has an average rating of 4.5, with 150 lectures, based on 69 reviews, and has 13760 subscribers.

You will learn about Deploy an Inventory app. make an inventory algorithm reduce stock cost and increase service level learn how to deploy apps in a hosted cloud service. Dash Flask Python inventorize library azure SQL Cron Jupyter Automation Inventory Metrics This course is ideal for individuals who are supply chain or inventory controllers or software or Buyers or Consultants or supply chain management It is particularly useful for supply chain or inventory controllers or software or Buyers or Consultants or supply chain management.

Enroll now: RA: Supply Chain Applications with Python: Inventory.

Summary

Title: RA: Supply Chain Applications with Python: Inventory.

Price: $49.99

Average Rating: 4.5

Number of Lectures: 150

Number of Published Lectures: 150

Number of Curriculum Items: 150

Number of Published Curriculum Objects: 150

Original Price: $84.99

Quality Status: approved

Status: Live

What You Will Learn

Deploy an Inventory app.
make an inventory algorithm
reduce stock cost and increase service level
learn how to deploy apps in a hosted cloud service.
Dash
Flask
Python
inventorize library
azure
SQL
Cron
Jupyter
Automation
Inventory Metrics

Who Should Attend

supply chain
inventory controllers
software
Buyers
Consultants
supply chain management

Target Audiences

supply chain
inventory controllers
software
Buyers
Consultants
supply chain management

“ This is a project based course that will be a part of many courses on the same topic; in this Project,Mango Incorporation is hiring you to optimize their stock replenishment and automate the process for them. you will have to investigate their data and give them a real-time working solution”

Do you work in Inventory Control/ Procurement ?

Are you involved in taking supply chain decisions?

Did you ever wonder how inventory concepts work in real life?

Do You want to make a complete end to end inventory solution for you business/company?

Do you want to work as a consultant for supply chain?

…… you have come to the right place 🙂

Rescale analytics- A data driven supply chain consultancy and a solution provider- Developed The highest rated courses in supply chain analytics and Data science with Python and R and till now it is still the only comprehensive course on the shows how to take data driven supply chain decisions with data science with Amazing feedback from students !!

with this course, Based one students demand.we take it one step further; we combine Supply chain , Devops and Data scienceto make a comprehensive inventory course for you.

Don’t worry If you don’t know how to code, we learn step by step by applying supply chain analysis!

*NOTE: Full course includes downloadable resourcesand Python project files,Setup Codes,lifetime access, and a30-day money-back guarantee.

in this course you will be able to:

* Deploy a could based Inventory application.

* Inventory Management techniques to be applied in real-time in a Dynamic Environment

* Stock Algorithm Development and Automation.

* Connecting to remote Database .

* Know how to setup the server where you deploy the inventory algorithm.

* Know how to setup network configurations between multiple servers.

* Make you app accessible through the internet.

Happy Supply Chain mining!

Haytham

Rescale Analytics

Feedback from Clients and Training:

“In Q4 2018, I was fortunate to find an opportunity to learn R in Dubai, after hearing about it from indirect references in UK.

I attended a Supply Chain Forecasting & Demand Planning Masterclass conducted by Haitham Omar and the possibilities seemed endless. So, we requested Haitham to conduct a 5-day workshop in our office to train 8 staff members, which opened us up as a team to deeper data analysis. Today, we have gone a step further and retained Haitham, as a consultant, to take our data analysis to the next level and to help us implement inventory guidelines for our business. The above progression of our actions is a clear indication of the capabilities of Haitham as a specialist in R and in data analytics, demand planning, and inventory management.”

Shailesh Mendonca

Commercial lead-in Adventure AHQ- Sharaf Group

“ Haytham mentored me in my Role of Head of Supply Chain efficiency. He is extremely knowledgebase about the supply concepts, latest trends, and benchmarks in the supply chain world. Haytham’s analytics-driven approach was very helpful for me to recommend and implement significant changes to our supply chain at Aster group”

Saify Naqvi

Head of Supply Chain Efficiency

“I participated to the training session called “Supply Chain Forecasting & Management” on December 22nd 2018. This training helped me a lot in my daily work since I am working in Purchase Dpt. Haytham have the pedagogy to explain us very difficult calculations and formula in simple way. I highly recommend this training.”

Djamel BOUREMIZ

Purchasing Manager at Mineral Circles Bearings

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction.

Lecture 2: Intro

Lecture 3: About RA

Lecture 4: Why Python?

Lecture 5: Dash

Lecture 6: What do we need at the end?

Lecture 7: Static Vs Dynamic

Lecture 8: Supply chain applications

Lecture 9: Apps review

Lecture 10: Curriculum

Lecture 11: Summary

Chapter 2: Welcome to the world of Python!

Lecture 1: Heads up

Lecture 2: Python

Lecture 3: Downloading Anaconda

Lecture 4: Installing Anaconda

Lecture 5: Spyder Overview

Lecture 6: Jupiter Notebook overview

Lecture 7: Python Libraries

Lecture 8: Inventorize Package

Chapter 3: Python Programming Fundmentals

Lecture 1: Introduction

Lecture 2: Dataframes

Lecture 3: Arithmetic Calculations with Python

Lecture 4: Lists

Lecture 5: Dictionaries

Lecture 6: Arrays

Lecture 7: Importing Data in Python

Lecture 8: Subsetting Dataframes

Lecture 9: Conditions

Lecture 10: Writing functions

Lecture 11: Mapping

Lecture 12: Forloops

Lecture 13: For looping a function

Lecture 14: Mapping on a dataframe

Lecture 15: Forlooping on a DataFrame

Lecture 16: Summary

Lecture 17: Asssignment

Lecture 18: Assignment Answer 1

Lecture 19: Assignment Answer 2

Chapter 4: Manipulation and Data Cleaning

Lecture 1: Manipulation Intro

Lecture 2: Dropping Duplicates and NAs

Lecture 3: Conversion Lecture

Lecture 4: Conversions

Lecture 5: Filterations

Lecture 6: Imputations

Lecture 7: Indexing toutrials

Lecture 8: Slicing Index

Lecture 9: Manipulation Lecture

Lecture 10: Groupby

Lecture 11: Slicing Group By

Lecture 12: Dropping levels

Lecture 13: Proper form

Lecture 14: Pivot Tables

Lecture 15: Aggregate functions in pivot table

Lecture 16: Melting the data

Lecture 17: Left join

Lecture 18: Inner and outer join

Lecture 19: Joining in python

Lecture 20: inner, left join and full join(outer)

Lecture 21: Summary

Lecture 22: Assignment

Lecture 23: Assignment answer 1

Lecture 24: Assignment answer 2

Lecture 25: Assignment answer 3

Lecture 26: Assignment answer 4

Lecture 27: Assignment answer 5

Chapter 5: Dash Basics

Lecture 1: Our First Devops

Lecture 2: Intro

Lecture 3: Our First application

Lecture 4: App layout

Lecture 5: Server Running

Lecture 6: asignment

Lecture 7: Assignment answer

Lecture 8: Callbacks

Lecture 9: Callback Example

Lecture 10: Creating Dropdowns

Lecture 11: Call Back function

Lecture 12: Checking output

Lecture 13: A very Dynamic Car App

Lecture 14: Summary

Chapter 6: Preparing for inventory Algorithm

Lecture 1: Inventory Alghoritm

Lecture 2: Workflow

Lecture 3: Database for Inventory

Lecture 4: MySql Server

Lecture 5: Installation

Lecture 6: Initializing Database

Lecture 7: Welcome to Mango

Lecture 8: Mango data Orientation

Lecture 9: Preparing for Alghoritm

Lecture 10: Sending data to database

Lecture 11: Algorithm assumptions

Lecture 12: orders data

Lecture 13: Prepration Complete

Lecture 14: Fetching data

Chapter 7: Inventory Alghoritm

Instructors

Haytham Omar-Ph.D
Consultant-Supply chain

Rating Distribution

1 stars: 1 votes
2 stars: 0 votes
3 stars: 11 votes
4 stars: 20 votes
5 stars: 37 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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