Build an A-Z Retail Dashboard with R & Shiny.
Build an A-Z Retail Dashboard with R & Shiny., available at $64.99, has an average rating of 4.2, with 159 lectures, based on 24 reviews, and has 2349 subscribers.
You will learn about 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 incorporation. deploy and scale the application using cloud service. SQL Supply chain Retail Market Basket Retail Metrics Calculations This course is ideal for individuals who are retail analysts or Buyers or Supply chain Planners or Marketing planners or sales managers It is particularly useful for retail analysts or Buyers or Supply chain Planners or Marketing planners or sales managers.
Enroll now: Build an A-Z Retail Dashboard with R & Shiny.
Summary
Title: Build an A-Z Retail Dashboard with R & Shiny.
Price: $64.99
Average Rating: 4.2
Number of Lectures: 159
Number of Published Lectures: 159
Number of Curriculum Items: 159
Number of Published Curriculum Objects: 159
Original Price: $84.99
Quality Status: approved
Status: Live
What You Will 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 incorporation.
- deploy and scale the application using cloud service.
- SQL
- Supply chain
- Retail
- Market Basket
- Retail Metrics Calculations
Who Should Attend
- retail analysts
- Buyers
- Supply chain Planners
- Marketing planners
- sales managers
Target Audiences
- retail analysts
- Buyers
- Supply chain Planners
- Marketing planners
- sales managers
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 AnalyticsWhich 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 coursesand 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
Course Curriculum
Chapter 1: Introduction
Lecture 1: Welcome
Lecture 2: About RA
Lecture 3: Curriclum
Lecture 4: What should be in a retail dashboard?
Lecture 5: Why R ?
Lecture 6: Shiny
Lecture 7: Recommendations
Lecture 8: Application Dynamics
Lecture 9: Supply chain applications
Lecture 10: Summary
Chapter 2: Welcome To R
Lecture 1: Introduction
Lecture 2: What is R statistical language?
Lecture 3: How to install R ?
Lecture 4: How to install Rstudio ?
Lecture 5: A walkthrough tutorial
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 functions
Lecture 4: Creating a list
Lecture 5: Importing data in R and basic explorations
Lecture 6: Selecting data in a dataframe
Lecture 7: Ifelse function
Lecture 8: Conditions
Lecture 9: conditions with functions
Lecture 10: For loops
Lecture 11: Applying a function inside a forloop
Lecture 12: Forloop on a dataframe
Lecture 13: Applying a function on dataframe
Lecture 14: Basics of R assignment
Lecture 15: Assignment explanation 1
Lecture 16: Assignment explanation 2
Lecture 17: Summary
Chapter 4: Manipulating data in R
Lecture 1: Intro
Lecture 2: Intro to dplyr
Lecture 3: Investigate with Dplyr
Lecture 4: Unique invoices
Lecture 5: average invoice per country
Lecture 6: average number of items in an invoice
Lecture 7: Joining
Lecture 8: Changing date time to date
Lecture 9: spreading the data /pivoting
Lecture 10: Compressing the data
Lecture 11: Separate and paste
Lecture 12: putting it all together
Lecture 13: Newyork airlines
Lecture 14: Assignment 1
Lecture 15: Assignment 2
Lecture 16: Assignment 3
Lecture 17: Assignment 4
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 Vs 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
Lecture 19: Summary
Chapter 6: Retail Metrics
Lecture 1: what should be in a retail app ?
Lecture 2: Operational retail metrics
Lecture 3: Practice in excel
Lecture 4: Margins vs Markups
Lecture 5: Top and Bottom lines
Lecture 6: Conversions rate
Lecture 7: 30 cents on the dollar
Lecture 8: Margins Vs Markups
Lecture 9: Supplier Dynamics with the retailer
Lecture 10: summary
Chapter 7: Market Basket
Lecture 1: Intro
Lecture 2: Intro to market basket analysis
Lecture 3: Top 10 Products
Lecture 4: Reading transactions
Lecture 5: Summary transactions
Lecture 6: Apriori
Lecture 7: Top 10 rules
Lecture 8: Subsetting
Lecture 9: Assignment
Lecture 10: summary
Chapter 8: Retail Dashboard User interface
Instructors
-
Haytham Omar-Ph.D
Consultant-Supply chain
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 0 votes
- 3 stars: 5 votes
- 4 stars: 7 votes
- 5 stars: 12 votes
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