In this first chapter, you'll start exploring the new dataset and revisit creating measures in Power BI to get a better understanding of why customers are churning.

Analyzing customer churn in Power BI

Analysis process

Data check time

Understanding churn

Calculating churn

Investigating churn reasons

Digging deeper into churn categories

Use maps to your advantage

Exploratory Analysis

You'll continue by leveraging the Power BI knowledge you gained from the prerequisite courses to further investigate why customers are leaving Databel.

Zooming out

Analyzing demographics

Age groups

Inspecting groups

Multiple fields to investigate

Unlimited plan

International calls

Advice to Databel

Contract type

Investigating Churn Patterns

In the last chapter, you'll create dashboard-style pages and arrange them into stories, so that you can share your results with stakeholders.

Creating a cohesive story

Dashboarding best practices

Overview page

Age brackets & groups

Payment method and contract category

International and data plan

More insights

Wrap-up

Visualizing your Analysis

DataCamp vs. Local Experience

Exercises and Datasets

Metadata sheet

Are you ready to apply your Power BI skills to a real-world dataset? For subscription-based businesses, reducing customer churn is a top priority. In this Power BI case study, you'll investigate a dataset from an example telecom company called Databel and analyze their churn rates. Analyzing churn doesn’t just mean knowing what the churn rate is: 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 measures and calculated columns, while simultaneously creating eye-catching report pages.


Are you ready to apply your Power BI skills to a real-world dataset? 
<br><br> 
<h2> Apply your Power BI skills with a Case Study </h2> 
For subscription-based businesses, reducing customer churn is a top priority. In this Power BI case study, you'll investigate a dataset from an example telecom company called Databel and analyze their churn rates. 
<br><br> 
<h2> Understand why customers churn </h2> 
Analyzing churn doesn’t just mean knowing what the churn rate is: 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 measures and calculated columns while simultaneously creating eye-catching report pages.


Introduction to DAX in Power BI

Data Visualization in Power BI

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

Case Study: Analyzing Customer Churn in Power BI

Data Analyst in Power BI

Power BI Fundamentals

Content Developer, DataCamp

Data analysis flow

Power BI Desktop

Power BI Service

Optional future work: Bookmarks and buttons

Congratulations!

https://s3.amazonaws.com/assets.datacamp.com/production/course_28767/subtitles/course_28767_c4c2b80b49c3c4af160d05310bf2df82.vtt

Visualizing your Analysis - Wrap-up

Wrap-up

1. Wrap-up

2. Data analysis flow

3. Power BI Desktop

4. Power BI Service

5. Optional future work: Bookmarks and buttons

6. Congratulations!