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[ CourseLala com ] Linkedin - Python for Data Science Tips, Tricks, and Techniques
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Get Bonus Downloads Here.url (Size: 227.79 MB) (Files: 58)
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01 - Introduction
01 - Discover new tips and tricks for Python.mp4
01 - Discover new tips and tricks for Python.srt
02 - What you should know.mp4
02 - What you should know.srt
03 - Using the exercise files.mp4
03 - Using the exercise files.srt
04 - Set up on Windows.mp4
04 - Set up on Windows.srt
05 - Set up on Mac.mp4
05 - Set up on Mac.srt
02 - 1. Ingesting Data
01 - Working with JSON data.mp4
01 - Working with JSON data.srt
02 - Working with CSV files.mp4
02 - Working with CSV files.srt
03 - Working with Parquet files.mp4
03 - Working with Parquet files.srt
04 - Reading data from GitHub API.mp4
04 - Reading data from GitHub API.srt
03 - 2. Exploring Data
01 - Reading data with pandas.mp4
01 - Reading data with pandas.srt
02 - Inspecting DataFrames with pandas.mp4
02 - Inspecting DataFrames with pandas.srt
03 - Aggregating data with pandas.mp4
03 - Aggregating data with pandas.srt
04 - Exporting data with pandas.mp4
04 - Exporting data with pandas.srt
04 - 3. Visualizing Data
01 - Basic charts in Plotly.mp4
01 - Basic charts in Plotly.srt
02 - Small multiples with Plotly.mp4
02 - Small multiples with Plotly.srt
03 - Using color in Plotly.mp4
03 - Using color in Plotly.srt
04 - Finishing your data visualizations in Plotly.mp4
04 - Finishing your data visualizations in Plotly.srt
05 - Conclusion
01 - Next steps and additional resources.mp4
01 - Next steps and additional resources.srt
Bonus Resources.txt
Ex_Files_Python_for_Data_Science_Tips
Exercise Files
01_01.ipynb
01_02.ipynb
01_03.ipynb
01_04.ipynb
02_01.ipynb
02_02.ipynb
02_03.ipynb
02_04.ipynb
03_01.ipynb
03_02.ipynb
03_03.ipynb
03_04.ipynb
data
MonthlyProductSales.csv
MonthlyProductSales.parquet
MonthlySales.csv
anscombes-quartet-hier.csv
anscombes-quartet.csv
diamonds.csv
monthlySalesbyCategoryMultiple.json
mpg.csv
Torrent description
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