Build an A-Z Retail Dashboard with R & Shiny.
- Description
- Curriculum
- FAQ
- Reviews
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
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1WelcomeVideo lesson
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2About RAVideo lesson
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3IntroductionVideo lesson
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4What should be in a retail dashboard?Video lesson
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5Why R ?Video lesson
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6ShinyVideo lesson
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7RecommendationsVideo lesson
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8Application DynamicsVideo lesson
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9Supply chain applicationsVideo lesson
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10SummaryVideo lesson
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19IntroductionVideo lesson
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20Different data structures and types in RVideo lesson
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21Do arithmetic calculations in R and write functionsVideo lesson
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22Creating a listVideo lesson
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23Importing data in R and basic explorationsVideo lesson
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24Selecting data in a dataframeVideo lesson
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25Ifelse functionVideo lesson
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26ConditionsVideo lesson
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27conditions with functionsVideo lesson
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28For loopsVideo lesson
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29Applying a function inside a forloopVideo lesson
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30Forloop on a dataframeVideo lesson
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31Applying a function on dataframeVideo lesson
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32Basics of R assignmentVideo lesson
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33Assignment explanation 1Video lesson
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34Assignment explanation 2Video lesson
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35SummaryVideo lesson
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36IntroVideo lesson
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37Intro to dplyrVideo lesson
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38Investigate with DplyrVideo lesson
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39Unique invoicesVideo lesson
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40average invoice per countryVideo lesson
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41average number of items in an invoiceVideo lesson
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42JoiningVideo lesson
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43Changing date time to dateVideo lesson
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44spreading the data /pivotingVideo lesson
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45Compressing the dataVideo lesson
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46Separate and pasteVideo lesson
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47putting it all togetherVideo lesson
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48Newyork airlinesVideo lesson
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49Assignment 1Video lesson
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50Assignment 2Video lesson
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51Assignment 3Video lesson
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52Assignment 4Video lesson
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53SummaryVideo lesson
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54IntroductionVideo lesson
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55installing PackagesVideo lesson
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56First shiny applicationVideo lesson
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57Our first UIVideo lesson
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58Input and outputVideo lesson
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59Reactive appVideo lesson
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60Fibonacci assignmentVideo lesson
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61Fibonacci sequence assignmentVideo lesson
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62Declarative Vs imperative ProgrammingVideo lesson
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63Getting unique identifiersVideo lesson
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64overviewVideo lesson
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65User interfaceVideo lesson
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66App structreVideo lesson
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67Date reactivityVideo lesson
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68Country and SKU reactivityVideo lesson
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69Line plotsVideo lesson
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70Application runningVideo lesson
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71DatatablesVideo lesson
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72SummaryVideo lesson
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73what should be in a retail app ?Video lesson
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74Operational retail metricsVideo lesson
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75Practice in excelVideo lesson
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76Margins vs MarkupsVideo lesson
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77Top and Bottom linesVideo lesson
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78Conversions rateVideo lesson
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7930 cents on the dollarVideo lesson
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80Margins Vs MarkupsVideo lesson
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81Supplier Dynamics with the retailerVideo lesson
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82summaryVideo lesson
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83IntroVideo lesson
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84Intro to market basket analysisVideo lesson
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85Top 10 ProductsVideo lesson
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86Reading transactionsVideo lesson
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87Summary transactionsVideo lesson
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88AprioriVideo lesson
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89Top 10 rulesVideo lesson
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90SubsettingVideo lesson
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91AssignmentVideo lesson
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92summaryVideo lesson
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