Welcome to the Session: Data Analysis in Excel – I, In this session, you will explore advanced Excel techniques for understanding, analyzing, and manipulating data. By the end of this session, you will be able to:
- Import and work with CSV and delimited files
- Apply common data analysis techniques, such as bucketing and segmentation
- Use keyboard shortcuts to improve efficiency in Excel
- Create visualizations to analyze and present insights effectively
- Employ formulas and cell referencing for calculations
No prior Excel knowledge is required for this session; it builds directly on the skills introduced in Session 2.
We will work with a real-world telemarketing dataset from a bank, containing demographic and personal information for approximately 45,000 individuals, along with their responses to a telemarketing campaign. Our goal is to identify customer attributes that indicate a higher likelihood of purchasing a product, a classic example of acquisition analytics where historical data is used to predict future customer behavior.
Key topics covered in this session include:
- Working with delimited files
- Discovering time-saving shortcuts
- Using formulas and complex functions
- Mastering cell referencing and text functions
- Applying logical formulas
- Creating and formatting charts in Excel
- Selecting the appropriate chart type for your data
Throughout the videos, you will also encounter “interview-style” questions posed to Vivek. These are designed to provide structure, clarify common doubts, and reinforce key concepts.
Let’s begin by hearing from Vivek about some frequently asked questions.
In this session, we will concentrate on exploring the dataset and uncovering meaningful insights from the information provided.
You can download the bank marketing dataset from the link below to follow along.
In the upcoming segment, we will discuss delimited files and their various formats, setting the foundation for effective data import and analysis.