Python for a Real-World Data Science Project – [Step-by-Step Guide]

Python for a Real-World Data Science Project – [Step-by-Step Guide]

HomeBianca JordanPython for a Real-World Data Science Project – [Step-by-Step Guide]
Python for a Real-World Data Science Project – [Step-by-Step Guide]
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Data science project from scratch…let's get started!

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In this video, you'll learn how to tackle a data science project from scratch. Whether you're just starting out with programming or you're already an experienced programmer but don't know where to start with large data science projects, this video is for you.

As the online world evolves and companies open online stores as part of their business, customer churn rate is a very important factor that data scientists need to consider.

So what is the customer churn rate? The customer churn rate refers to the percentage of customers who have stopped using or will stop using your company's services within a given period of time. Although it is not the most positive prediction, the churn rate is very important for a business because it provides great insights into customer retention.

So why is it important to predict churn rate? First of all, because as a business you want to maximize your profit margins. One way to do that is by understanding your customers and their spending habits.

As a data scientist, you will often be asked about customer churn rate and in this video I will show you a step-by-step guide to the customer churn problem in Python programming language to prepare you for the latest demands in the job market.

#DataScience #CustomerChurrencyRate #MachineLearning

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