In this first chapter, you’ll start by exploring your new dataset in Excel and gain an initial understanding of why customers are churning. 

Analyzing customer churn in Excel

Analysis process

Data preparation

Understanding churn and it's applications

Calculating churn

Investigating churn reasons

Digging deeper into churn categories

Exploratory analysis

You’ll continue leveraging the Excel knowledge you gained from the prerequisite courses to investigate further why customers are leaving Databel. 

Zooming out

Analyzing demographics

Age groups

Unlimited plan

International calls

Retaining senior citizens

Contract type

Investigating churn patterns

In the last chapter, you’ll create a dashboard-style sheet and arrange your visuals to present your results to stakeholders in a cohesive story. 

Creating a cohesive story

Dashboarding best practices

Overview - Adding KPIs

Overview - Adding churn reasons

Overview - Adding demographics

Overview - Adding consumption

Wrap-up

Metadata Sheet

Exercises and Datasets

Are you ready to apply your Excel skills to a fictitious dataset? For subscription-based businesses, reducing customer churn is a top priority. In this Excel case study, you'll investigate a dataset from an example telecom company Databel and analyze their churn rates.

Analyzing churn doesn’t just mean knowing the churn rate: it’s also about figuring out why customers are churning at the rate they are and how to reduce churn. You'll answer these questions by creating calculated columns and fields, building PivotTables, and creating an eye-catching dashboard.


Are you ready to apply your Excel skills to a fictitious dataset? 
<br><br>
<h2> Apply your Excel Skills with a Case Study </h2>
For subscription-based businesses, reducing customer churn is a top priority. In this Excel case study, you'll investigate a dataset from an example telecom company, Databel, and analyze their churn rates.
<br><br> 
<h2> Understand why customers churn </h2>
Analyzing churn doesn’t just mean knowing the churn rate: it’s also about figuring out why customers are churning at the rate they are and how to reduce churn. You'll answer these questions by creating calculated columns and fields, building PivotTables, and creating an eye-catching dashboard.


Introduction to Excel

You will investigate a dataset from a fictitious company called Databel in Excel, and need to figure out why customers are churning.

Case Study: Analyzing Customer Churn in Excel

Excel Fundamentals

Content Developer, DataCamp

Data analysis flow

Structuring your analysis is not easy

Our final deliverable

Let's practice!

https://s3.amazonaws.com/assets.datacamp.com/production/course_33727/subtitles/course_33727_c07b044b51634e0c522379b8a4c647c5.vtt

Creating a cohesive story - Creating a cohesive story

Creating a cohesive story

1. Creating a cohesive story

2. Data analysis flow

3. Structuring your analysis is not easy

4. Our final deliverable

5. Let's practice!

Create Your Free Account