Mô tả

" 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











Bạn sẽ học được gì

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

Yêu cầu

  • Beginner Python sections included for folks who are new to Python !
  • one stop shop!

Nội dung khoá học

11 sections

Introduction

11 lectures
Introduction.
02:34
Intro
03:19
About RA
02:30
Why Python?
03:28
Dash
03:35
What do we need at the end?
00:55
Static Vs Dynamic
03:41
Supply chain applications
08:08
Apps review
01:58
Curriculum
01:55
Summary
03:16

Welcome to the world of Python!

8 lectures
Heads up
01:11
Python
02:36
Downloading Anaconda
01:34
Installing Anaconda
01:03
Spyder Overview
11:38
Jupiter Notebook overview
02:54
Python Libraries
05:30
Inventorize Package
01:05

Python Programming Fundmentals

19 lectures
Introduction
07:24
Dataframes
02:33
Arithmetic Calculations with Python
08:30
Lists
06:34
Dictionaries
05:01
Arrays
03:14
Importing Data in Python
07:57
Subsetting Dataframes
08:40
Conditions
04:28
Writing functions
08:00
Mapping
02:14
Forloops
02:16
For looping a function
04:14
Mapping on a dataframe
05:41
Forlooping on a DataFrame
08:17
Summary
08:34
Asssignment
02:10
Assignment Answer 1
05:44
Assignment Answer 2
09:58

Manipulation and Data Cleaning

27 lectures
Manipulation Intro
02:22
Dropping Duplicates and NAs
06:46
Conversion Lecture
04:29
Conversions
05:11
Filterations
07:49
Imputations
04:49
Indexing toutrials
04:31
Slicing Index
03:47
Manipulation Lecture
05:07
Groupby
07:15
Slicing Group By
04:34
Dropping levels
02:15
Proper form
03:46
Pivot Tables
07:45
Aggregate functions in pivot table
05:30
Melting the data
05:34
Left join
04:20
Inner and outer join
03:41
Joining in python
04:27
inner, left join and full join(outer)
06:20
Summary
01:52
Assignment
02:28
Assignment answer 1
05:53
Assignment answer 2
05:52
Assignment answer 3
07:43
Assignment answer 4
07:20
Assignment answer 5
14:06

Dash Basics

14 lectures
Our First Devops
03:02
Intro
05:40
Our First application
10:26
App layout
06:22
Server Running
03:46
asignment
02:45
Assignment answer
14:44
Callbacks
07:16
Callback Example
03:12
Creating Dropdowns
08:43
Call Back function
03:27
Checking output
07:47
A very Dynamic Car App
09:20
Summary
01:42

Preparing for inventory Algorithm

14 lectures
Inventory Alghoritm
06:30
Workflow
04:29
Database for Inventory
05:58
MySql Server
01:30
Installation
01:10
Initializing Database
02:53
Welcome to Mango
01:52
Mango data Orientation
11:19
Preparing for Alghoritm
05:40
Sending data to database
06:49
Algorithm assumptions
04:41
orders data
07:55
Prepration Complete
06:47
Fetching data
06:26

Inventory Alghoritm

21 lectures
Harmonizing Data
10:56
Seasonality Explanation
07:44
Seasonality in alghoritm
16:33
Beginning and ending inventory
03:52
Calculating beginning and ending inventory
07:46
Stock Status
10:45
In-transit items
11:57
Current stock
03:37
ABC explanation
04:04
Drivers
09:46
Inventory Calculations Explanations
04:37
Inventory Calculations
10:12
Correction
10:47
Last stock on hand date
09:54
adjusting for seasonality
11:25
Policy Explanation
09:10
demand leadtime
01:11
Service level and min max
11:41
reordering policy
06:40
finalizing Alghoritm
12:14
sending to database
06:51

Scheduling with CronTab

3 lectures
Cron
02:09
Scheduling
17:27
Scheduling Part 2
14:43

Inventory App

16 lectures
Inventory App
03:37
Importing Report
08:27
Creating inputs
09:58
Layout
09:53
ranking attributes
10:32
Datatables Exploited
12:04
Alarms
03:55
Alarms datatable
14:03
Callbacks
04:07
Margin and Inventory Turns
09:49
Orange and redalarm Conditions
08:28
Subplots and PieCharts
09:48
Bar and Ranking Charts
03:45
Finalizing app
07:08
Debugging
17:45
App overview
07:49

Deployment

6 lectures
Azure free account
02:07
Deploying Server
08:03
Python Requirments
06:55
Setting up flaskapp
07:11
Server running
03:32
Dashapp deployed
07:26

Sql Server

11 lectures
Setting up Virtual Machine
03:34
Connecting to a new virtual machine
02:03
Installing libraries
07:03
Mysql Configuration
12:02
Jupiter notebook
05:16
Building Database
11:16
Database Set
05:06
running algorithm
06:40
Success
02:01
Connecting everything
15:30
Farewell
00:50

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