Udemy – Build an A-Z Retail Dashboard with R & Shiny


Udemy – Build an A-Z Retail Dashboard with R & Shiny
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 159 lectures (19h 9m) | Size: 7.9 GB
RA: Supply chain applications series : Retail. a step by step guide to a comprehensive analytics app with R & Shiny


What you’ll learn
Build a retail dashboard from scratch!
learn how to use R to do retail analysis ad metrics calculation in real time.
work on a project like case study for mango incorportation.
deploy and scale the application using cloud service.
SQL
Supply chain
Retail
Market Basket
Metrics
Requirements
R basic sections are included for first time users of R so no need for any prerequisites.
Description
Welcome to our latest course in the supply chain applications series, we are excited to share with you RA: Supply chain applications with Shiny: Retail Analytics Which is the second course that dives deep into how to apply supply chain applications using R & Shiny. we already set the bar high after our previous course that discusses deploying inventory applications became a Bestseller . we aim that this course meets the same standards.
we are proud to have more than 40,000 students across the globe taking our data science supply chain courses and that our courses were the first to discuss these topics thus our courses tend to be creative and unique in nature.
in this course, you will Deploy an end to end retail solution to mango incorporation, an apparel retailer that have four stores, each store has its own characteristics , assortment and popularity. in the solution that you will build for mango incorporation, it has to contain
1- An overall business overview dashboard.
2- top brands dashboard.
3- top suppliers dashboard.
4- size curve and color curve dashboard.
5- historical sales dashboard.
6- Contributions dashboard.
7- Retail metrics dashboard.
8- Market Basket data.
9-Margins dashboard.
in addition, the retail solution that you will provide to mango incorporation has to be
1- Accessible from anywhere.
2- Deployed on the cloud.
3- Process information real-time.
Sounds like a real project, right ? actually yes, it’s very much real project made by rescale analytics converted to a course.
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
Who this course is for
retail analysts
Buyers
Supply chain Planners
Marketing planners
sales managers
Homepage
https://www.udemy.com/course/build-an-a-z-retail-dashboard-with-r-shiny

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