brief introduction
The integration of Python, Excel, and data analysis is a major feature of this book.
"Compared with Excel, easy to learn Python data analysis" revolves around the general process of the entire data analysis: Familiar with the tool - clarify the purpose - obtain data - familiarize with the data - process the data - analyze the data - draw conclusions - verify the conclusion - show the conclusion for Excel and Python Compare the implementation, tell you what will be used in each process, and what is the connection between the process and the process. This book can be used not only as an instruction manual for systematically learning the operation process of data analysis, but also as a practical tool book necessary for data analysts' desks.
This book learns Python code implementation by comparing Excel function operations instead of directly learning Python code, which greatly reduces the learning threshold and eliminates readers' fear of code. It is suitable for data analysts who are new to the industry, data analysts who are more proficient in Excel, and professionals who want to improve work efficiency in other positions.
Table of contents
screenshot of content
