RA- Supply Chain Applications with R Shiny- Inventory.
- Development
- May 05, 2025
RA: Supply Chain Applications with R & Shiny: Inventory., available at $54.99, has an average rating of 4.4, with 148 lectures, based on 51 reviews, and has 7249 subscribers.
You will learn about Deploy a could based Inventory application. reduce stock cost and increase service level. Inventory Management. Algorithm Development Connecting to Database Mysql R Scheduling algorithms Azure DevOps Network Configurations This course is ideal for individuals who are Supply chain or Inventory or Applications Development It is particularly useful for Supply chain or Inventory or Applications Development.
Enroll now: RA: Supply Chain Applications with R & Shiny: Inventory.
Summary
Title: RA: Supply Chain Applications with R & Shiny: Inventory.
Price: $54.99
Average Rating: 4.4
Number of Lectures: 148
Number of Published Lectures: 147
Number of Curriculum Items: 148
Number of Published Curriculum Objects: 147
Original Price: $84.99
Quality Status: approved
Status: Live
What You Will Learn
Who Should Attend
Target Audiences
“ 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 馃檪
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 R 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
鈥?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鈥檚 analytics-driven approach was very helpful for me to recommend and implement significant changes to our supply chain at Aster group鈥?/strong>
Saify Naqvi
Head of Supply Chain Efficiency
鈥淚 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.鈥?/strong>
Djamel BOUREMIZ
Purchasing Manager at Mineral Circles Bearings
Course Curriculum
Chapter 1: Introduction
Lecture 1: Why this course is Different?
Lecture 2: About RA
Lecture 3: Reccomendations
Lecture 4: Why R?
Lecture 5: Shiny
Lecture 6: Application dynamics
Lecture 7: Supply chain applications
Lecture 8: Applications overview
Lecture 9: Curriculum
Chapter 2: Welcome to the world of R
Lecture 1: Welcome to R
Lecture 2: What is R statistical language
Lecture 3: How to install R?
Lecture 4: How to install Rstudio?
Lecture 5: A walkthrough toutrial
Lecture 6: Setup your Project
Lecture 7: Install Packages!
Lecture 8: Summary
Chapter 3: R programming fundmentals
Lecture 1: Introduction
Lecture 2: Different Data Structures and types in R
Lecture 3: Do arithmetic Calculations in R and write Vectors
Lecture 4: Creating a list.
Lecture 5: Importing data in R and basic explorations.
Lecture 6: Selecting data in a dataframe
Lecture 7: If Else function
Lecture 8: Conditions
Lecture 9: Functions with conditions
Lecture 10: For loops
Lecture 11: Applying a function inside a forloop
Lecture 12: For loop on a data-frame
Lecture 13: Applying a function on a dataframe
Lecture 14: Assignment
Lecture 15: Assignment section4 answer part1
Lecture 16: Assignment section 4 part 2
Lecture 17: Summary
Chapter 4: Manipulation on a dataframe
Lecture 1: Intro
Lecture 2: Intro to Dplyr
Lecture 3: Investigate with Dplyr
Lecture 4: Unique invoices
Lecture 5: Average invoice value per country
Lecture 6: Average Number of items within an invoice
Lecture 7: Joining
Lecture 8: Changing date time to date
Lecture 9: Pivot Wider
Lecture 10: Pivot longer
Lecture 11: Separate and Paste
Lecture 12: Putting it all together
Lecture 13: Assignment New-work Airlines
Lecture 14: Assignment question 1 answer
Lecture 15: Assignment Question 2 & 3 answer
Lecture 16: Assignment Question 5,6 and 6 answer
Lecture 17: Assignment Question 7
Lecture 18: Summary
Chapter 5: Shiny Basics
Lecture 1: Introduction
Lecture 2: Installing packages
Lecture 3: First shiny application
Lecture 4: Our first UI
Lecture 5: Input and output
Lecture 6: Reactive app
Lecture 7: Fibonacci assignment
Lecture 8: Fibonacci sequence assignment
Lecture 9: Declarative and imperative programming
Lecture 10: Getting unique identifiers
Lecture 11: Overview
Lecture 12: User interface
Lecture 13: App Structure
Lecture 14: Date reactivity
Lecture 15: Country and SKU reactivity
Lecture 16: Line Plots
Lecture 17: Application Running
Lecture 18: Datatables
Chapter 6: Preparing for Inventory Algorithm
Lecture 1: Introduction
Lecture 2: Workflow
Lecture 3: Database for inventory
Lecture 4: Download for SqlServer
Lecture 5: Installation of mySQL server and mySQL workbench
Lecture 6: Initializing database
Lecture 7: Preparing. for Database
Lecture 8: Preparing the Data
Lecture 9: Filtering Stocks
Lecture 10: Sending Stocks and sales
Lecture 11: Algorithm assumptions
Lecture 12: Purchase Orders
Lecture 13: Connect to Database
Lecture 14: Fetching realtime data
Chapter 7: Inventory Algorithm
Lecture 1: Creating a unique Key.
Lecture 2: Parsing Dates
Lecture 3: Seasonality
Lecture 4: Defining Seasonality
Lecture 5: Beginning, ending and Receiving inventory
Lecture 6: Beginning and ending inventory
Lecture 7: Calculating stock status
Lecture 8: Total Requested and Current stock
Lecture 9: ABC
Instructors
Haytham Omar-Ph.D
Consultant-Supply chain
Rating Distribution
Frequently Asked Questions
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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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