- Data Science for Marketing Analytics
- Tommy Blanchard Debasish Behera Pranshu Bhatnagar
- 71字
- 2021-06-11 13:45:49
Chapter 1
Data Preparation and Cleaning
Learning Objectives
By the end of this chapter, you will be able to:
- Create pandas DataFrames in Python
- Read and write data into different file formats
- Slice, aggregate, filter, and apply functions (built-in and custom) to DataFrames
- Join DataFrames, handle missing values, and combine different data sources
This chapter covers basic data preparation and manipulation techniques in Python, which is the foundation of data science.
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