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Linkedin - Python in Excel Working with pandas DataFrames

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Size
337 MB
Seeders
6
Leechers
1
Files
23
Category
Other
Added
at 1:47am GMT+1
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Description
Quote:Course details

Python and Excel are both some of the most popular “programming languages”, especially for data analytics/data science. Combined, they are even more powerful. In this course, author and Excel expert Felix Zumstein explains how to work with pandas DataFrames in Excel. pandas DataFrames are the backbone of every Python-based data analysis in Excel. Get a thorough introduction to DataFrames. Learn how to turn different sources—such as an Excel range, an Excel table, or a Power Query—into a DataFrame. Find out why and when it makes sense to use a DataFrame, as opposed to native Excel features like Power Query, Pivot Tables, or VLOOKUP formulas. Use a practical dataset to explore the basics of working with DataFrames, including an index, headers, filtering data, dropping duplicates, adding a new column, combining two DataFrames, and re-indexing. Plus, take a quick look at time series and visualizations.

File list
  • Linkedin - Python in Excel Working with pandas DataFrames
  • 1. Introduction/1. Python in Excel and pandas DataFrames.mp4 2.8 MB
  • 1. Introduction/2. What you should know.mp4 4.3 MB
  • 1. Introduction/3. About Python in Excel.mp4 3.8 MB
  • 2. Introduction to pandas/1. Hello World.mp4 9.4 MB
  • 2. Introduction to pandas/2. pandas DataFrame and Series.mp4 17 MB
  • 2. Introduction to pandas/3. Data selection.mp4 26.6 MB
  • 2. Introduction to pandas/4. Calculations vectorization and empty cells.mp4 17.4 MB
  • 2. Introduction to pandas/5. Row filtering.mp4 16.5 MB
  • 2. Introduction to pandas/6. Manipulating DataFrames.mp4 22.4 MB
  • 2. Introduction to pandas/7. Python editor and magic commands.mp4 16.4 MB
  • 3. Data Analysis/1. Data cleaning.mp4 19.7 MB
  • 3. Data Analysis/2. Working with text data.mp4 21.5 MB
  • 3. Data Analysis/3. Combining DataFrames.mp4 16.2 MB
  • 3. Data Analysis/4. Data aggregation.mp4 14.2 MB
  • 3. Data Analysis/5. Plotting.mp4 15.4 MB
  • 4. Time Series Analysis/1. Introduction to time series.mp4 10.2 MB
  • 4. Time Series Analysis/2. Time series analysis with pandas DataFrames.mp4 15.4 MB
  • 4. Time Series Analysis/3. Shifting and percentage changes.mp4 16.7 MB
  • 4. Time Series Analysis/4. Comparing time series.mp4 17.1 MB
  • 4. Time Series Analysis/5. Resampling and correlation.mp4 14 MB
  • 4. Time Series Analysis/6. Case study- Sales dashboard.mp4 27.3 MB
  • 5. Conclusion/1. The next steps for learning more about Python in Excel.mp4 3.7 MB
  • Ex_Files_Python_in_Excel_pandas_DataFrames.zip 8.7 MB

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