Project overview
In this project, you’ll take on the role of a data analyst at a telecommunications company. Your challenge is to explore customer data in Excel to identify profiles of those likely to churn. Retaining customers is crucial for telecom providers, so your insights will help inform proactive retention efforts.
You’ll conduct exploratory data analysis, calculating key statistics, building PivotTables to slice the data, and creating charts to visualize your findings. This project provides hands-on experience with core Excel skills for data-driven business decisions that will enhance your analyst portfolio.
Objective: Analyze telecommunications customer data in Excel to profile churn risks and provide an actionable insights report.
Key skill required
To complete this project, it's recommended to build these foundational skills in Excel
- Calculating descriptive statistics in Excel
- Analyzing data with descriptive statistics
- Creating PivotTables in Excel to explore and analyze data
- Visualizing data with histograms and boxplots in Excel
Projects steps
Step 1: Introduction
Step 2: Churn Rate
Step 3: Initial EDA
Step 4: Exploring Data Grouped by State and Churn
Step 5: Exploring Data Grouped by voice_mail_plan and churn
Step 6: Analyzing Frequency Distributions
Step 7: Visualizing Data Grouped by State and Churn
Step 8: Exploring and Visualizing Data Grouped by Churn
Step 9: Final Report
Step 10: Next Steps
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