The document outlines a marketing analytics webinar hosted by Abhishek Kumar from Boston University. Key topics include features of Jupyter Notebook, best practices for data exploration, and various data operations such as importing, cleaning, and visualizing data using libraries like Matplotlib and Seaborn. The session emphasizes practical methods for removing null values and sorting data.

1. Marketing Analytics - Session-3
Abhishek Kumar | Boston University

2. Webinar - Marketing Analytics

3. Agenda
- Quick recap so far
- Jupyter notebook features
- Starting with Data Exploration
- Best Practices in Data Exploration using python

4. Jupyter Notebook
- Quick Recap
- Importing data
- Review the data
- head(), tail(), shape()
- describe(),drop(), info(), sum(), fillna(0),groupby()

5. Operations Today
- Removing Null from the dataset
- isNaN, fillNa,dropna
- Sorting by column
- sort_values
- Accessing column’s value
- Using matplotlib
- Using seaborn

6. Data Exploration
- Bar Plot
- Scatter Plot
- Hist Plot
- Distribution Plot

7. Webinar - Marketing Analytics