Introduction to Customer Segmentation | 365 Data Science Online Course

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A good understanding of customers is extremely important for running a successful business. KYC or ‘know your customer’ is what actually makes all the difference for many companies. KYC helps them do their best in creating, communicating, and delivering their offerings by tailoring them to their customers’ needs.
But understanding and meeting customers’ needs is easier said than done. Customer Analytics is a very broad area. It may include a wide range of characteristics of customers and their behavior and numerous different outcomes and performance indicators that the business might be interested in.
In this introductory course we will focus on the first part of one of the most fundamental marketing frameworks - that of segmentation, targeting, and positioning, known as the ‘S T P framework’.
The data we’ll use throughout the course come from a fast-moving consumer goods, or ‘F M C G’ company. A typical example of an ‘F M C G’ marketplace is a supermarket. People visit supermarkets every day and most types of goods in-store are purchased daily, too. Therefore, we have lots and lots of data available, making ‘F M C G’ a perfect example for our customer analytics course.
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[@365DataScience]

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[@arkadiuszmusisz150]

That's exactly what I've been looking for! Thanks for a great explanation of the subject.

[@this.is.lapc506]

46:10 I had a notion of what the dendrogram was, I just had no idea it had that specific name. This has been one of the best introduction courses I've seen in KZbin so far.

[@garciarogerio6327]

I am studying Engineering and Management, and I have an interest in Business Analysis. This is a great resource. Thank you so much.

[@ProdbyTrehnt]

We briefly went over this in my business plan and business model classes but I wanted to know a lot more. Thanks!

[@natashasamuel9346]

Great class. Keep up the good work. Thank You, Natasha Samuel

[@556west]

Wow !! Amazing tutorial, thanks a lot !!

[@ahdhaitham4328]

Amazing course🔥!

[@365DataScience]

Glad you think so!

[@ndz7372]

Very detailed, thanks!

[@aniketmishra9265]

That's so insightful! Thank you

[@kjglff]

I am analysing a similar dataset with categorical customer data. Is the clustering not affected by using integer encoding and not one hot encoding? Thanks!

[@in4shopping469]

Wow Amazing

[@technotutors1970]

Hey, Great explanation, just loved it. May you please share the link of the dataset, unable to locate it here? Thank you

[@556west]

Hi, can you please share the dataset and also where can I find the next section. Thanks a lot !!

[@dalalappagarianil]

provide data pdf in discriptions sir

[@manaskrthk]

From where do i get the dataset?

[@vijay6161]

U can get it from Kaggle

[@TheHouseOfKaushiks]

@@vijay6161 I am not able to locate it. Can you paste the link here?

[@TheHouseOfKaushiks]

Did you get this dataset? Can you post the link here?

[@vijay6161]

@@TheHouseOfKaushiks Based on your field you can choose accordingly - which type of dataset you need!

[@ajiehchukwudi]

pls where is the link to the dataset?

[@jarqueviousnelson1216]

why are clusters important?

[@rioangkasa5364]

anyone have the dataset?

[@adityajds1816]

some body please help me with data set cause i could not find that

[@gayathrid.a3925]

Hey, I signed in using your 20% offer link given in one of the videos for the month plan. I was charged but I did to receive any payment confirmation and my account is not upgraded too. I have also sent you an email. Please help.

[@vishnutejamandati8187]

where can i find the remaining part of the project

[@ayushrai654]

Did u find it?

[@badinbrothers4931]

Guessing you have to pay like 30USD per month just to get access to the data set :((