RA: Supply Chain Applications with Python: Inventory.

Use Python & Dash to Make A cloud based Inventory Application from Scratch! Take decisions Real time.

4.45 (11 reviews)
Udemy
platform
English
language
Data & Analytics
category
instructor
students
16 hours
content
Oct 2021
last update
regular price

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

Description

" 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 science to 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 resources and Python  project files, Setup Codes, lifetime access, and a 30-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











Screenshots

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

Content

Introduction
Introduction
Intro
About RA
Why Python?
Dash
What do we need at the end?
Static Vs Dynamic
Supply chain applications
Apps review
Curriculum
Summary
Welcome to the world of Python!
Heads up
Python
Downloading Anaconda
Installing Anaconda
Spyder Overview
Jupiter Notebook overview
Python Libraries
Inventorize Package
Python Programming Fundmentals
Introduction
Dataframes
Arithmetic Calculations with Python
Lists
Dictionaries
Arrays
Importing Data in Python
Subsetting Dataframes
Conditions
Writing functions
Mapping
Forloops
For looping a function
Mapping on a dataframe
Forlooping on a DataFrame
Summary
Asssignment
Assignment Answer 1
Assignment Answer 2
Manipulation and Data Cleaning
Manipulation Intro
Dropping Duplicates and NAs
Conversion Lecture
Conversions
Filterations
Imputations
Indexing toutrials
Slicing Index
Manipulation Lecture
Groupby
Slicing Group By
Dropping levels
Proper form
Pivot Tables
Aggregate functions in pivot table
Melting the data
Left join
Inner and outer join
Joining in python
inner, left join and full join(outer)
Summary
Assignment
Assignment answer 1
Assignment answer 2
Assignment answer 3
Assignment answer 4
Assignment answer 5
Dash Basics
Our First Devops
Intro
Our First application
App layout
Server Running
asignment
Assignment answer
Callbacks
Callback Example
Creating Dropdowns
Call Back function
Checking output
A very Dynamic Car App
Summary
Preparing for inventory Algorithm
Inventory Alghoritm
Workflow
Database for Inventory
MySql Server
Installation
Initializing Database
Welcome to Mango
Mango data Orientation
Preparing for Alghoritm
Sending data to database
Algorithm assumptions
orders data
Prepration Complete
Fetching data
Inventory Alghoritm
Harmonizing Data
Seasonality Explanation
Seasonality in alghoritm
Beginning and ending inventory
Calculating beginning and ending inventory
Stock Status
In-transit items
Current stock
ABC explanation
Drivers
Inventory Calculations Explanations
Inventory Calculations
Correction
Last stock on hand date
adjusting for seasonality
Policy Explanation
demand leadtime
Service level and min max
reordering policy
finalizing Alghoritm
sending to database
Scheduling with CronTab
Cron
Scheduling
Scheduling Part 2
Inventory App
Inventory App
Importing Report
Creating inputs
Layout
ranking attributes
Datatables Exploited
Alarms
Alarms datatable
Callbacks
Margin and Inventory Turns
Orange and redalarm Conditions
Subplots and PieCharts
Bar and Ranking Charts
Finalizing app
Debugging
App overview
Deployment
Azure free account
Deploying Server
Python Requirments
Setting up flaskapp
Server running
Dashapp deployed
Sql Server
Setting up Virtual Machine
Connecting to a new virtual machine
Installing libraries
Mysql Configuration
Jupiter notebook
Building Database
Database Set
running algorithm
Success
Connecting everything
Farewell

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Coupons

DateDiscountStatus
10/13/2021100% OFF
expired
10/19/202189% OFF
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10/22/2021100% OFF
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4214254
udemy ID
7/31/2021
course created date
8/17/2021
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