You are a Data scientist at Captain Flint Brewery, which is a well reputed distillery that produces whiskey, rum, beer, wine, and other alcoholic beverages. The company distributes its breweries through large supermarket chains and liquor stores that operates through a centralized system where all branches will provide the same pricing and discounts to the products they offer. However, certain branch managers can override certain discounts provided that proper reasons are given and is approved. The company has many data on customer purchases, demographics, and preferences, as well as on the performance of various products and marketing campaigns. Note that the relevant dataset is attached to the assignment. As a Data Scientist, you are responsible for making decisions about which products to stock, setting the optimum pricing, discount strategy, placing of products, and how to market them to customers. Overall, the aim of the entire process is to entice customers to spend more and create the best pricing strategy to increase the volume of sales. To make these informed decisions, you decide to use Applied analytical models to better understand the data your company has collected.

Activity $3$

$$ Investigate and select analytics methods and algorithms and how it can be used in a given scenario. Further evaluate these methods against each other and explain how data preparation will be done at Captain Flints.

$$ Using the selected analytical method utilize a tool $($e$.$g$.,$ R$,$ RapidMiner, Hadoop$)$ to carry out an analysis while assessing the quality of the information that was output from the analysis. $($screenshots are needed$)$

Activity $4$

Identify and evaluate different improvements $($at least $3)$ that can be made to the applied analytical methods at Captain Flints. Justify these improvements and explain how it will increase the performance of the model. Further, explain the issues faced in making improvements. You furthermore have to present the advantages of utilizing applied analytical models in the given scenario and how it can benefit the industry.

Grading

P$5$ Select a suitable algorithm to analyse a large data set to meet a business need. M$3$ Propose how the data set will be prepared for the analytical model used in the investigation.

D$3$ Review the results of the investigation, assessing the quality of the obtained knowledge.

P$6$ Use an appropriate analytical modelling tool to carry out an investigation.

P$7$ Investigate improvements to an applied analytical model.

M$4$ Propose three improvements to the approach used in the investigation.

D$4$ Present the results of the investigation, promoting the benefits of using applied analytical models in a business.

M$5$ Discuss two ways to increase the performance and limits of the analytical model used in the investigation.

no chatgpt$($AI$)$

https:$//$drive$.$google.com$/$drive$/$folders$/1$NVPtIm$\_$Lz$3$O$1$HBfp$2\_$uB$76$Z$-$WsHGZwxr$?$usp$=$sharing

Link has the two datasets which needed for answer question. $($sales dataset and marketing campaign datast$)$