Learn the ins and outs of integrating Python's powerful Pandas DataFrames with Excel in this comprehensive course, "Python in Excel: Working with pandas DataFrames - Felix Zumstein.” Learn about the extension of possibilities. How can you maximize the use of DataFrames? DataFrames are the foundation of data analysis based on Python, which is integrated into Excel. Through learning the functions of transforming different data types, including Excel range, table, or Power Query, into DataFrames, and when and in what situations you may need them instead of Excel functionalities like Power Query or Pivot Table, you should have a good basic understanding of the DataFrame handling.
Interactive activities along with example data frames: acquiring a practical knowledge of selecting rows/columns, changing the column names, data selection, data deletion, column addition, joining of data frames, and re-indexing. Additionally, Python in Excel: Working with pandas DataFrames - Felix Zumstein discovers initial time series analysis and data visualization concepts.
Python in Excel: Working with pandas DataFrames - Felix Zumstein Table of Contents:
- Introduction
- Introduction to pandas
- Data Analysis
- Time Series Analysis
- Conclusion
Who is this course for?
- Excel users, in particular, who wish to add more muscle to their data processing skills.
- Power users of programming language and office applications who want to connect their Python with Excel.
- Data analysts and scientists need a tool that provides a versatile solution other than Excel for data manipulation.
- Data analysts on the outlook for sophisticated tools for improving the optimization of large datasets in Excel.
