Introduction to Python for Excel Users
If you’re an Excel user looking to level up your analytics skills, Python is a great choice for repeatable processes, compelling visualizations, and robust data analysis. And while learning to code may seem too difficult, your Excel knowledge gives you a significant head start.
This introduction is intended for Excel users with no prior knowledge of Python. By the end of this session, you will know:
How Python differs from Excel as an open-source software tool
How to identify and implement useful packages for data analytics
How to navigate and execute code in Jupyter notebooks
How to translate common Excel concepts such as cells, ranges, and tables to Python equivalents
How to enhance Excel and Power BI with Python
Here are some useful resources shared during the presentation.
White paper: https://stringfestanalytics.com/five-...
Repository: https://github.com/stringfestdata/pyt...
eBook: https://stringfestanalytics.com/book/
Table of Contents:
0:00 – Introduction
1:17 – Resources
2:50 – Book giveaway
3:00 – Origins of Data
4:00 – Open Source
6:10 – Jupyter Notebook
13:55 – Questions
18:58 – Use cases
25:18 – Apps
26:32 – Packages
24:31 – Uses
27:47 – Time check
32:34 – Audience questions
36:04 – Giveaway
36:53 – Python packages
45:18 – QnA
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