Data Science Fundamentals: Data Manipulation in Python (Pandas)

Опубликовано: 18 Март 2026
на канале: Ken Jee

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This is the second video in my Data Science Fundamentals series. In it I walk through the most important data manipulation techniques using pandas. Data manipulation is extremely important process in data science. Data Scientists spend a significant amount of time using these techniques to build data sets that can be used for modeling. Mastering these skills will increase your production as a data scientist and increase your efficiency.

#DataScience #DataScienceFundamentals #DataManipulation #Python

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Things Shown:
1:48 Reading in data
3:05 Viewing and renaming columns
5:50 Selecting single columns and rows
7:45 Selecting multiple columns and rows
10:45 Dropping columns
12:45 Column creation
14:25 Filtering data
17:13 New feature creation
18:55 The apply function
20:40 Lambda functions
22:25 Ternary operator and converting numeric to categorical
24:45 New features from multiple columns
27:10 Quantiles and bins
31:10 Dummy variables
33:20 Pivot tables
36:25 Groupby
39:00 Joins with pd.merge
41:05 Data Appending
42:25 Writing to csv

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